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{{ category }}

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{% include base_path %} {% include cv-template.html %}

# Samuel Stocksieker --- ## Parcours universitaire - **Doctorat** — Institut des Sciences Financières et d’Assurances (ISFA), Université Lyon 1 (2024) *Laboratoire de Sciences Actuarielle et Financière* - Contribution de l'apprentissage automatique à la modélisation des valeurs rares et des données déséquilibrées : applications en assurance - Directeurs : Frédéric Planchet, Denys Pommeret et Arthur Charpentier - **Master 2** — ISFA, Université Lyon 1 (2013) *Sciences Actuarielles et Financières* - **Master 2** — Aix-Marseille Université (2012) *Ingénierie Statistique et Mathématiques Actuarielles* - **Licence** — Université Lyon 2 (2010) *Informatique Décisionnelle et Statistiques* - **Licence** — Université de Picardie (2009) *Mathématiques* --- ## Expériences professionnelles - **Professeur des Universités Associé à mi-temps (PAST)** — Aix-Marseille Université (depuis 2019) *Équipe Statistiques du groupe ALEA (I2M)* - Co-responsable du master IMSA (actuariat) - Encadrement de projets d'étudiants - **Enseignant Vacataire** — Université de Rouen (depuis 2023) *Master Actuariat et Ingénierie Mathématique pour l'Assurance et la Finance* - **Enseignant Vacataire** — Université de Nîmes (depuis 2020) *Licence pro Chargé.e de Clientèle en Assurance* - **Enseignant Vacataire** — Université de Montpellier (depuis 2018) *DU Big Data, Data Science et Analyse des Risques sous Python* - **Enseignant Vacataire** — Université de Montpellier (depuis 2021) *Master Monnaie, Banque, Finance, Assurance - parcours Actuariat* - **Enseignant Vacataire** — ESILV, Paris (2018–2023) *Cursus ingénieur Actuariat* - **Actuaire** — Milliman, Paris (2014–2019) - ~30 missions chez ~20 clients - Travaux d’inventaire, mise en place de chocs ORSA, calculs Solvabilité II et IFRS 17 - Développement de modèles de projection de flux (Prophet, SAS, Excel) - Revue de modèles, fusions/acquisitions, allocation stratégique d’actifs - **Actuaire** — Optimind-Winter, Paris (2013–2014) - Provisionnement, calculs EV, modélisation ALM - **Actuaire (alternant)** — EOVI Mutuelle, Saint-Étienne (2012–2013) - Tarification & études de risques - Calcul du SCR & MCR et remplissage des QRT - **Actuaire (alternant)** — AXA, Marseille (2011–2012) - Modélisation stochastique du S/C santé & prévoyance - Inventaire et provisionnement, suivi du portefeuille - **Actuaire (stage)** — Direct Assurance, Paris (2011) - Définition d’indicateurs de suivi du risque - Modélisation de la charge de sinistre (GAM, Emblem) - Scoring et modélisation de taux de transformation - **Stage de recherche** — INRETS, Lyon (2010) - Sujet : *Multi-objective Shortest Paths in Multimodal Stochastic Networks* --- ## Compétences - **Informatique :** Python, R, SAS (Base, Guide, IML), Excel, VBA, SQL, Access, Matlab, Prophet, Moses, Emblem, Cognos, Java, Delphi, C/C++, LaTeX - **Langues :** Anglais - **Enseignements dispensés :** - Actuariat Non-Vie (tarification & provisionnement) - Actuariat Vie (tarification & provisionnement) - Excel-VBA pour l’actuariat - R pour l’actuariat - Traitement de données (Python) - Économétrie (Python) - Machine Learning appliqué à l’actuariat - Modélisation et valorisation des produits d’assurance ---

{% include base_path %} {% for post in site.experience reversed %} {% include archive-single-experience.html %} {% endfor %}

/* * This file controls what is imported from /_sass * * Note that the files are processed in the order they are imported, so they are partly sorted by the dependencies. Also, the first two lines of the file are required by Jekyll. */ @import "vendor/breakpoint/breakpoint", "themes", "theme/default", "theme/dark", "include/mixins", "vendor/susy/susy", "layout/reset", "layout/base", "include/utilities", "layout/tables", "layout/buttons", "layout/notices", "layout/masthead", "layout/navigation", "layout/footer", "syntax", "layout/forms", "layout/page", "layout/archive", "layout/sidebar", "vendor/font-awesome/fontawesome", "vendor/font-awesome/solid", "vendor/font-awesome/brands" ;

{% include toc %} ## Locations of key files/directories * Basic config options: _config.yml * Top navigation bar config: _data/navigation.yml * Single pages: _pages/ * Collections of pages are .md or .html files in: * _publications/ * _portfolio/ * _posts/ * _teaching/ * _talks/ * Footer: _includes/footer.html * Static files (like PDFs): /files/ * Profile image (can set in _config.yml): images/profile.png ## Tips and hints * Name a file ".md" to have it render in markdown, name it ".html" to render in HTML. * Go to the [commit list](https://github.com/academicpages/academicpages.github.io/commits/master) (on your repo) to find the last version GitHub built with Jekyll. * Green check: successful build * Orange circle: building * Red X: error * No icon: not built * Academic Pages uses [Jekyll Kramdown](https://jekyllrb.com/docs/configuration/markdown/), GitHub Flavored Markdown (GFM) parser, which is similar to the version of Markdown used on GitHub, but may have some minor differences. * Some of emoji supported on GitHub should be supposed via the [Jemoji](https://github.com/jekyll/jemoji) plugin :computer:. * The best list of the supported emoji can be found in the [Emojis for Jekyll via Jemoji](https://www.fabriziomusacchio.com/blog/2021-08-16-emojis_for_Jekyll/#computer) blog post. * While GitHub Pages prevents server side code from running, client-side scripts are supported. * This means that Google Analytics is supported, and [the wiki](https://github.com/academicpages/academicpages.github.io/wiki/Adding-Google-Analytics) should contain the most up-to-date information on getting it working. * Your CV can be written using either Markdown ([preview](https://academicpages.github.io/cv/)) or generated via JSON ([preview](https://academicpages.github.io/cv-json/)) and the layouts are slightly different. You can update the path to the one being used in `_data/navigation.yml` with the JSON formatted CV being hidden by default. * The [Liquid syntax guide](https://shopify.github.io/liquid/tags/control-flow/) is a useful guide for those that want to add functionality to the template or to become contributors to the [template on GitHub](https://github.com/academicpages/academicpages.github.io). ## MathJax Support for MathJax (version 3.* via [jsDelivr](https://www.jsdelivr.com/), [documentation](https://docs.mathjax.org/en/latest/)) is included in the template: $$ \displaylines{ \nabla \cdot E= \frac{\rho}{\epsilon_0} \\\ \nabla \cdot B=0 \\\ \nabla \times E= -\partial_tB \\\ \nabla \times B = \mu_0 \left(J + \varepsilon_0 \partial_t E \right) } $$ The default delimiters of `$$...$$` and `\\[...\\]` are supported for displayed mathematics, while `\\(...\\)` should be used for in-line mathematics (ex., \\(a^2 + b^2 = c^2\\)) **Note** that since Academic Pages uses Markdown which cases some interference with MathJax and LaTeX for escaping characters and new lines, although [some workarounds exist](https://math.codidact.com/posts/278763/278772#answer-278772). In some cases, such as when you are including MathJax in a `citation` field for publications, it may be necessary to use `\(...\)` for inline delineation. ## Mermaid diagrams Academic Pages includes support for [Mermaid diagrams](https://mermaid.js.org/) (version 11.* via [jsDelivr](https://www.jsdelivr.com/)) and in addition to their [tutorials](https://mermaid.js.org/ecosystem/tutorials.html) and [GitHub documentation](https://github.com/mermaid-js/mermaid) the basic syntax is as follows: ```markdown ```mermaid graph LR A-->B ``` ``` Which produces the following plot with the [default theme](https://mermaid.js.org/config/theming.html) applied: ```mermaid graph LR A-->B ``` While a more advanced plot with the `forest` theme applied looks like the following: ```mermaid --- config: theme: 'forest' --- graph TD; A-->B; A-->C; B-->D; C-->D; ``` ## Plotly Academic Pages includes support for Plotly diagrams via a hook in the Markdown code elements, although those that are comfortable with HTML and JavaScript can also access it [via those routes](https://plotly.com/javascript/getting-started/). In order to render a Plotly plot via Markdown the relevant plot data need to be added as follows: ```markdown ```plotly { "data": [ { "x": [1, 2, 3, 4], "y": [10, 15, 13, 17], "type": "scatter" }, { "x": [1, 2, 3, 4], "y": [16, 5, 11, 9], "type": "scatter" } ] } ``` ``` **Important!** Since the data is parsed as JSON *all* of the keys will need to be quoted for the plot to render. The use of a tool like [JSONLint](https://jsonlint.com/) to check syntax is highly recommended. {: .notice} Which produces the following: ```plotly { "data": [ { "x": [1, 2, 3, 4], "y": [10, 15, 13, 17], "type": "scatter" }, { "x": [1, 2, 3, 4], "y": [16, 5, 11, 9], "type": "scatter" } ] } ``` Essentially what is taking place is that the [Plotly attributes](https://plotly.com/javascript/reference/index/) are being taken from the code block as JSON data, parsed, and passed to Plotly along with a theme that matches the current site theme (i.e., a light theme, or a dark theme). This allows all plots that can be described via the `data` attribute to rendered with some limitations for the theme of the plot. ```plotly { "data": [ { "x": [1, 2, 3, 4, 5], "y": [1, 6, 3, 6, 1], "mode": "markers", "type": "scatter", "name": "Team A", "text": ["A-1", "A-2", "A-3", "A-4", "A-5"], "marker": { "size": 12 } }, { "x": [1.5, 2.5, 3.5, 4.5, 5.5], "y": [4, 1, 7, 1, 4], "mode": "markers", "type": "scatter", "name": "Team B", "text": ["B-a", "B-b", "B-c", "B-d", "B-e"], "marker": { "size": 12 } } ], "layout": { "xaxis": { "range": [ 0.75, 5.25 ] }, "yaxis": { "range": [0, 8] }, "title": {"text": "Data Labels Hover"} } } ``` ```plotly { "data": [{ "x": [1, 2, 3], "y": [4, 5, 6], "type": "scatter" }, { "x": [20, 30, 40], "y": [50, 60, 70], "xaxis": "x2", "yaxis": "y2", "type": "scatter" }], "layout": { "grid": { "rows": 1, "columns": 2, "pattern": "independent" }, "title": { "text": "Simple Subplot" } } } ``` ```plotly { "data": [{ "z": [[10, 10.625, 12.5, 15.625, 20], [5.625, 6.25, 8.125, 11.25, 15.625], [2.5, 3.125, 5.0, 8.125, 12.5], [0.625, 1.25, 3.125, 6.25, 10.625], [0, 0.625, 2.5, 5.625, 10]], "type": "contour" }], "layout": { "title": { "text": "Basic Contour Plot" } } } ``` ## Markdown guide Academic Pages uses [kramdown](https://kramdown.gettalong.org/index.html) for Markdown rendering, which has some differences from other Markdown implementations such as GitHub's. In addition to this guide, please see the [kramdown Syntax page](https://kramdown.gettalong.org/syntax.html) for full documentation. ### Header three #### Header four ##### Header five ###### Header six ## Blockquotes Single line blockquote: > Quotes are cool. ## Tables ### Table 1 | Entry | Item | | | -------- | ------ | ------------------------------------------------------------ | | [John Doe](#) | 2016 | Description of the item in the list | | [Jane Doe](#) | 2019 | Description of the item in the list | | [Doe Doe](#) | 2022 | Description of the item in the list | ### Table 2 | Header1 | Header2 | Header3 | |:--------|:-------:|--------:| | cell1 | cell2 | cell3 | | cell4 | ce ll5 | cell6 | |-----------------------------| | cell1 | cell2 | cell3 | | cell4 | cell5 | cell6 | |=============================| | Foot1 | Foot2 | Foot3 | ## Definition Lists Definition List Title : Definition list division. Startup : A startup company or startup is a company or temporary organization designed to search for a repeatable and scalable business model. #dowork : Coined by Rob Dyrdek and his personal body guard Christopher "Big Black" Boykins, "Do Work" works as a self motivator, to motivating your friends. Do It Live : I'll let Bill O'Reilly [explain](https://www.youtube.com/watch?v=O_HyZ5aW76c "We'll Do It Live") this one. ## Unordered Lists (Nested) * List item one * List item one * List item one * List item two * List item three * List item four * List item two * List item three * List item four * List item two * List item three * List item four ## Ordered List (Nested) 1. List item one 1. List item one 1. List item one 2. List item two 3. List item three 4. List item four 2. List item two 3. List item three 4. List item four 2. List item two 3. List item three 4. List item four ## Buttons Make any link standout more when applying the `.btn` class. ## Notices Basic notices or call-outs are supported using the following syntax: ```markdown **Watch out!** You can also add notices by appending `{: .notice}` to the line following paragraph. {: .notice} ``` which wil render as: **Watch out!** You can also add notices by appending `{: .notice}` to the line following paragraph. {: .notice} ### Footnotes Footnotes can be useful for clarifying points in the text, or citing information.[^1] Markdown support numeric footnotes, as well as text as long as the values are unique.[^note] ```markdown This is the regular text.[^1] This is more regular text.[^note] [^1]: This is the footnote itself. [^note]: This is another footnote. ``` [^1]: Such as this footnote. [^note]: When using text for footnotes markers, no spaces are permitted in the name. ## HTML Tags ### Address Tag

1 Infinite Loop
Cupertino, CA 95014
United States

### Anchor Tag (aka. Link) This is an example of a [link](http://github.com "GitHub"). ### Abbreviation Tag The abbreviation CSS stands for "Cascading Style Sheets". *[CSS]: Cascading Style Sheets ### Cite Tag "Code is poetry." ---Automattic ### Code Tag You will learn later on in these tests that `word-wrap: break-word;` will be your best friend. You can also write larger blocks of code with syntax highlighting supported for some languages, such as Python: ```python print('Hello World!') ``` or R: ```R print("Hello World!", quote = FALSE) ``` ### Details Tag (collapsible sections) The HTML `

` tag works well with Markdown and allows you to include collapsible sections, see [W3Schools](https://www.w3schools.com/tags/tag_details.asp) for more information on how to use the tag.

Collapsed by default

This section was collapsed by default!

The source code: ```HTML

Collapsed by default

This section was collapsed by default!

``` Or, you can leave a section open by default by including the `open` attribute in the tag:

Open by default

This section is open by default thanks to open in the <details open> tag!

### Emphasize Tag The emphasize tag should _italicize_ text. ### Insert Tag This tag should denote inserted text. ### Keyboard Tag This scarcely known tag emulates keyboard text, which is usually styled like the `` tag. ### Preformatted Tag This tag styles large blocks of code.

.post-title {
  margin: 0 0 5px;
  font-weight: bold;
  font-size: 38px;
  line-height: 1.2;
  and here's a line of some really, really, really, really long text, just to see how the PRE tag handles it and to find out how it overflows;
}

### Quote Tag Developers, developers, developers… –Steve Ballmer ### Strike Tag This tag will let you strikeout text. ### Strong Tag This tag shows **bold text**. ### Subscript Tag Getting our science styling on with H₂O, which should push the "2" down. ### Superscript Tag Still sticking with science and Isaac Newton's E = MC², which should lift the 2 up. ### Variable Tag This allows you to denote variables. *** **Footnotes** The footnotes in the page will be returned following this line, return to the section on Markdown Footnotes. </div> </article> </div>

Page not in menu

This is a page not in the menu. You can use markdown in this page. Heading 1 ====== Heading 2 ======

Page Archive

{% include base_path %} {% for post in site.pages %} {% include archive-single.html %} {% endfor %}

Portfolio

{% include base_path %} {% for post in site.portfolio %} {% include archive-single.html %} {% endfor %}

Publications

## Publications principales - **[SHGR: A Generalized Maximal Correlation Coefficient](https://openreview.net/pdf/58cf19b2b73bcb55d28fed96ccbffc7531445046.pdf)** *S. Stocksieker, D. Pommeret* In *Conference on Neural Information Processing Systems (Neurips)*, 2025 - **[A Comprehensive Survey on Imbalanced Regression: Definitions, Solutions, and Future Directions](https://hal.science/hal-05213741)** *S. Stocksieker, D. Pommeret* - **[KurtHGR: A Neural Maximal Correlation for Tabular Datasets](https://www.sciencedirect.com/science/article/pii/S187705092503011X)** *Stocksieker, S., Pommeret, D., & Charpentier, A.* In *International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES)*, 2025 - **[Disentangled Deep Smoothed Bootstrap for Fair Imbalanced Regression](https://www.sciencedirect.com/science/article/pii/S1877050925031928)** *Stocksieker, S., Pommeret, D., & Charpentier, A.* In *International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES)*, 2025 - **Delving into Deep Smoothed Bootstrap: Application in Imbalanced Regression** *Stocksieker, S., Pommeret, D., & Charpentier, A.* In *Special Track on Emerging Data Science Advances, International Conference on Data Science and Advanced Analytics (DSAA)*, 2025 - **[Data Augmentation with Variational Autoencoder for Imbalanced Dataset](https://arxiv.org/pdf/2412.07039)** *Stocksieker, S., Pommeret, D., & Charpentier, A.* In *International Conference on Neural Information Processing (ICONIP)*, (pp. 354-370), Springer Nature Singapore, 2024 - **[Generalized Oversampling for Learning from Imbalanced Datasets and Associated Theory: Application in Regression](https://openreview.net/pdf?id=DLqPhQxgYu)** *Stocksieker, S., Pommeret, D., & Charpentier, A.* In *Transactions on Machine Learning Research (TMLR)*, 2024 - **[Boarding for ISS: Imbalanced Self-Supervised – Discovery of a Scaled Autoencoder for Mixed Tabular Datasets](https://arxiv.org/pdf/2403.15790)** *Stocksieker, S., Pommeret, D., & Charpentier, A.* In *International Joint Conference on Neural Networks (IJCNN)*, pp. 1-10, IEEE, 2024 - **[Data Augmentation for Imbalanced Regression](https://proceedings.mlr.press/v206/stocksieker23a/stocksieker23a.pdf)** *Stocksieker, S., Pommeret, D., & Charpentier, A.* In *International Conference on Artificial Intelligence and Statistics (AISTATS)*, pp. 7774–7799, PMLR, 2023 Version publiée: ## Publications connexes (collaborations) - **MIAMI : MIxed Data Augmentation MIxture** *R. Fuchs, D. Pommeret, S. Stocksieker* In *International Conference on Computational Science and Its Applications (ICCSA)*, pp. 113–129, Springer, 2022. - **MI2AMI : Missing Data Imputation Using Mixed Deep Gaussian Mixture Models** *R. Fuchs, D. Pommeret, S. Stocksieker* In *International Conference on Machine Learning, Optimization, and Data Science (LOD)*, pp. 211–222, Springer, 2022. ## Reviewer - **TMLR**: 2024, 2025, 2026 - **IJCNN**: 2025, 2026 ---

Sitemap

{% include base_path %} A list of all the posts and pages found on the site. For you robots out there, there is an [XML version]({{ base_path }}/sitemap.xml) available for digesting as well.

Pages

{% for post in site.pages %} {% include archive-single.html %} {% endfor %}

Posts

{% for post in site.posts %} {% include archive-single.html %} {% endfor %} {% capture written_label %}'None'{% endcapture %} {% for collection in site.collections %} {% unless collection.output == false or collection.label == "posts" %} {% capture label %}{{ collection.label }}{% endcapture %} {% if label != written_label %}

{{ label }}

{% capture written_label %}{{ label }}{% endcapture %} {% endif %} {% endunless %} {% for post in collection.docs %} {% unless collection.output == false or collection.label == "posts" %} {% include archive-single.html %} {% endunless %} {% endfor %} {% endfor %}

Encadrement, responsabilités et jurys

## Responsabilités académiques et associatives - **Responsable du Master 1 IMSA** (2019–2024) et **co-responsable du Master 2 IMSA** (2019–2024) - **Co-pilote de la [chaire d'excellence DIALog](https://chaire-dialog.fr/)** (2024 - 2025) - **Co-fondateur et président** de l'[Association des Masters en Actuariat (AMA)](https://amactuariat.fr/) - Membre du comité d'organisation du Réseau Thématique de l'INSMI [MATRISK](https://ama-matrisk-2024.sciencesconf.org/) - **Co-fondateur et président** de l'[Association des Mathématiques Actuarielles de Marseille (AM²)](https://www.helloasso.com/associations/association-des-mathematiques-actuarielles-de-marseille) - **Membre animateur** de l'[Amicale des Actuaires du Sud (AAS)](https://www.linkedin.com/company/amicale-des-actuaires-du-sud-aas?trk=public_post_feed-actor-name) --- ## Encadrement de travaux académiques ### Travaux encadrés de recherche (Master IMSA) - **2024–2025** : 6 étudiants (M1 IMSA) - **2023–2024** : 12 étudiants (M1+M2 IMSA) - **2022–2023** : 14 étudiants (M1+M2 IMSA) - **2021–2022** : 21 étudiants (M1+M2 IMSA) - **2020–2021** : 18 étudiants (M1+M2 IMSA) - **2019–2020** : 23 étudiants (M1+M2 IMSA) - **2018–2019** : 9 étudiants (M1+M2 IMSA) - **2017–2018** : 10 étudiants (M2 IMSA) - **2016–2017** : 1 étudiant (M2 IMSA) **Principaux sujets supervisés :** tarification santé, calculs BE/SCR/ORSA, pilotage de portefeuille, IFRS 17, révision de Solvabilité II, provisionnement non-vie, modélisation du risque de longévité, résiliation, ALM, taux de transformation, tarification marché, machine learning en assurance, open data, migration d’outil, impact climatique, tableau de bord, analyse de données DAMIR, modèles stochastiques, deep learning en actuariat. **Projets tutorés en Python (Université de Montpellier)** - Encadrement de plusieurs projets tutorés chaque année (depuis 2018) ## Encadrement d'alternants - **2024–2025** : 4 M1 IMSA + 8 M2 IMSA - **2023–2024** : 6 M2 IMSA - **2022–2023** : 8 M2 IMSA - **2021–2022** : 7 M2 IMSA ## Encadrement de stages - **2023–2024** : 23 M1 IMSA - **2022–2023** : 15 M1 IMSA - **2021–2022** : 19 M1 IMSA ; 8 M2 ESILV - **2020–2021** : 15 M1 IMSA ; 10 M2 ESILV - **2019–2020** : 16 M1 IMSA ## Jurys - **Mémoires d'actuaire** : - 2024 : 22 mémoires (Université de Brest, Strasbourg) - 2023 : 13 mémoires (Université de Brest, Strasbourg, Lyon) - **Hackathons de l'IRIAF-ENSAR** : jury (2023, 2024, 2025) - **Jurys académiques** : Président ou membre de jury (master IMSA, 2018–2025) ## Organisation d'événements ### Forum école-entreprise (Master IMSA) - 2024: 17 stands - 2023: 15 stands - 2022: 13 stands - 2021: 12 stands - 2020: 8 stands ### Journées de professionnalisation et d’intégration (Master IMSA) - 2021–2025 : Présentations d’anciens (10 - 15) + chasse au trésor marseillaise - 2020 : Séminaire candidature, simulations d’entretien - 2018–2019 : Séminaire métier, séminaire candidature, simulations d’entretien, concours / mini-jeu ### Séminaires métiers (Master IMSA) - 2024 : 5 intervenants professionnels - 2023 : 6 intervenants professionnels - 2022 : 6 intervenants professionnels - 2021 : 6 intervenants professionnels ## Divers - **Membre de groupes de travail** de l’Institut des Actuaires - **Lauréat** du concours de Pédagogie Actuarielle (Caritat, 2019) - **Auteur** de l’ouvrage *[Impact économique d’une catastrophe industrielle pour une mutuelle](https://www.fnac.com/a13165455/Samuel-Stocksieker-Impact-economique-d-une-catastrophe-industrielle-pour-une-mutuelle)* (Editions Universitaires Européennes)

Posts by Tags

{% include base_path %} {% include group-by-array collection=site.posts field="tags" %} {% for tag in group_names %} {% assign posts = group_items[forloop.index0] %}

{{ tag }}

{% for post in posts %} {% include archive-single.html %} {% endfor %} {% endfor %}

Talk map

This map is generated from a Jupyter Notebook file in talkmap.ipynb, which mines the location fields in the .md files in _talks/.

Présentations

- **Données déséquilibrées en assurance: phénomène, défis et solutions** *Congrès des actuaires*, 2025 - **KurtHGR: A Neural Maximal Correlation for Tabular Data** *Journée d'Econométrie Michel Terraza*, 2025 - **Data Augmentation with Variational Autoencoder for Imbalanced Dataset** *Journées de Statistiques (JDS)* 2025 - **Imbalanced Regression** *Journée d'Econométrie Michel Terraza*, 2024 - **Imbalanced Data : Comment le déséquilibre de données peut impacter les performances des modèles ?** *Chaire DIALog*, 2024 - **Smoothed Bootstrap et génération de données synthétiques pour la modélisation des extrêmes** *Journées de Statistiques (JDS)* 2024 *Rencontres des Jeunes Statisticiens (RJS)* 2024

Enseignement

## Statuts et établissements - **Professeur des Universités Associé à mi-temps (PAST)** — Aix-Marseille Université (AMU) 2019 → Aujourd'hui Équipe Statistiques du groupe ALEA de l'Institut de Mathématiques de Marseille (I2M) Master Ingénierie Mathématiques et Statistiques Actuarielles (IMSA) - **Enseignant Vacataire** — Université de Montpellier (UM) 2018 → Aujourd'hui Diplôme d'Université Big Data, Data Science et Analyse des Risques sous Python (DU Python) - **Enseignant Vacataire** — Université de Montpellier (UM) 2021 → Aujourd'hui Master Mention Monnaie, Banque, Finance, Assurance - parcours Actuariat (MBFA) - **Enseignant Vacataire** — Université de Rouen (UR) 2023 → Aujourd'hui Master Actuariat et Ingénierie Mathématique pour l'Assurance et la Finance (AIMAF) - **Enseignant Vacataire** — École supérieure d'ingénieurs Léonard-de-Vinci (ESILV), Paris 2018 → 2023 Cursus ingénieur Actuariat (atuariat) - **Enseignant Vacataire** — Université de Nîmes (UN) 2020 → 2025 Licence professionnelle Chargé.e de Clientèle en Assurance (LP CCA) — 2020 à 2025 --- ## Cours et interventions par année ### 2024-2025 - **AMU — M1 IMSA** : Outils Informatiques pour l'Actuariat (étude de cas actuarielle sur Excel-VBA), Introduction à l'Actuariat (fondamentaux, tarification non-vie), Actuariat Vie (notations actuarielles, tarification, provisionnement), Données : manipulation (traitement de données, analyse et visualisation de données sous python), Professionnalisation (préparation candidature, découverte des métiers de l'actuariat) - **AMU — M2 IMSA** : Excel-VBA Avancé pour l'Actuariat (étude de cas actuarielle), Apprentissage Statistique (Data science et Machine Learning sous Python), Modélisation et Valorisation de Produits d'Assurance (calculs de BE, SCR, PVFP sous Excel-VBA) - **UM — DU Python** : Traitement de Données (Qualité des données, analyse et visualisation de données sous Python), Économétrie (apprentissage supervisé et non supervisé sous Python) - **UM — M2 MBFA** : Actuariat Vie - **UR — M2 AIMAF** : Actuariat Non-Vie (tarification, provisionnement, applications sous R), Simulations (Etude de cas actuarielle sous Python) - **UN — LP CCA** : Mathématiques Financières (intérêts composés, actualisation, tableau d'amortissement) ### 2023-2024 - **AMU — M1 IMSA** : Statistiques actuarielles (Excel, R), Professionnalisation, Actuariat vie (Excel) - **AMU — M2 IMSA** : Excel-VBA Avancé pour l'Actuariat, Machine Learning pour l'Actuariat (python), Modélisation et Valorisation de Produits d'Assurance (Excel-VBA) - **UM — DU Python** : Traitement de données (Python), Économétrie (Python) - **UM — M2 MBFA** : Actuariat vie, Modélisation actuarielle (Excel) - **UR — M2 AIMAF** : Actuariat non-vie (R), Simulations (Python) - **UN — LP CCA** : Mathématiques financières ### 2022-2023 - **AMU — M1 IMSA** : Statistiques actuarielles (Excel, R), Professionnalisation, Actuariat vie (Excel) - **AMU — M2 IMSA** : Excel-VBA Avancé pour l'Actuariat, Machine Learning pour l'Actuariat (python), Modélisation et Valorisation de Produits d'Assurance (Excel-VBA) - **UM — DU Python** : Traitement de données (Python), Économétrie (Python) - **UM — M2 MBFA** : Actuariat vie (Excel), Modélisation actuarielle (Excel) - **UN — LP CCA** : Mathématiques financières - **ESILV — Actuariat** : Excel-VBA pour l'actuariat, R pour l'actuariat ### 2021-2022 - **AMU — M1 IMSA** : Statistiques actuarielles (Excel, R), Professionnalisation, Actuariat vie (Excel) - **AMU — M2 IMSA** : Excel-VBA Avancé pour l'Actuariat, Machine Learning pour l'Actuariat (python), Modélisation et Valorisation de Produits d'Assurance (Excel-VBA) - **UM — DU Python** : Économétrie (Python) - **UM — M2 MBFA** : Actuariat vie (Excel) - **UN — LP CCA** : Mathématiques financières - **ESILV — Actuariat** : Excel-VBA pour l'actuariat ### 2020-2021 - **AMU — M1 IMSA** : Statistiques actuarielles (Excel, R), Actuariat vie - **AMU — M2 IMSA** : Excel-VBA Avancé pour l'Actuariat, Machine Learning pour l'Actuariat (python), Modélisation et Valorisation de Produits d'Assurance (Excel-VBA) - **UM — DU Python** : Économétrie (Python) - **UN — LP CCA** : Mathématiques financières - **ESILV — Actuariat** : Excel-VBA pour l'actuariat, Actuariat vie (Excel) ### 2019-2020 - **AMU — M1 IMSA** : Statistiques actuarielles (Excel, R), Actuariat vie - **AMU — M2 IMSA** : Excel-VBA Avancé pour l'Actuariat, Machine Learning pour l'Actuariat (python), Modélisation et Valorisation de Produits d'Assurance (Excel-VBA) - **UM — DU Python** : Économétrie (Python) - **ESILV — Actuariat** : Actuariat vie (Excel) ### 2018-2019 - **AMU — M1 IMSA** : Actuariat vie - **AMU — M2 IMSA** : Modélisation et Valorisation de Produits d'Assurance (Excel-VBA) - **UM — DU Python** : Économétrie (Python) - **ESILV — Actuariat** : Actuariat vie (Excel) ### 2017-2018 - **AMU — M2 IMSA** : Modélisation et Valorisation de Produits d'Assurance (Excel-VBA) Tous les enseignements sont de type **CM/TD/TP** avec **responsabilité complète** : création des cours, TD/TP, projets et examens. --- ## Logiciels et outils utilisés - **Bureautique** : Excel - **Programmation** : Python, R, VBA

Terms and Privacy Policy

{% include base_path %} {% include toc %} ## Privacy Policy The privacy of my visitors is extremely important. This Privacy Policy outlines the types of personal information that is received and collected and how it is used. First and foremost, I will never share your email address or any other personal information to anyone without your direct consent. ### Log Files Like many other websites, this site uses log files to help learn about when, from where, and how often traffic flows to this site. The information in these log files include: * Internet Protocol addresses (IP) * Types of browser * Internet Service Provider (ISP) * Date and time stamp * Referring and exit pages * Number of clicks All of this information is not linked to anything that is personally identifiable. ### Cookies and Web Beacons When you visit this site "convenience" cookies are stored on your computer when you submit a comment to help you log in faster to [Disqus](http://disqus.com) the next time you leave a comment. Third-party advertisers may also place and read cookies on your browser and/or use web beacons to collect information. This site has no access or control over these cookies. You should review the respective privacy policies on any and all third-party ad servers for more information regarding their practices and how to opt-out. If you wish to disable cookies, you may do so through your web browser options. Instructions for doing so can be found on the specific web browsers' websites. #### Google Analytics Google Analytics is a web analytics tool I use to help understand how visitors engage with this website. It reports website trends using cookies and web beacons without identifying individual visitors. You can read [Google Analytics Privacy Policy](http://www.google.com/analytics/learn/privacy.html).

Blog posts

{% include base_path %} {% capture written_year %}'None'{% endcapture %} {% for post in site.posts %} {% capture year %}{{ post.date | date: '%Y' }}{% endcapture %} {% if year != written_year %}

{{ year }}

{% capture written_year %}{{ year }}{% endcapture %} {% endif %} {% include archive-single.html %} {% endfor %}

/* * This file controls what is imported from /_sass * * Note that the files are processed in the order they are imported, so they are partly sorted by the dependencies. Also, the first two lines of the file are required by Jekyll. */ @import "vendor/breakpoint/breakpoint", "themes", "theme/default", "theme/dark", "include/mixins", "vendor/susy/susy", "layout/reset", "layout/base", "include/utilities", "layout/tables", "layout/buttons", "layout/notices", "layout/masthead", "layout/navigation", "layout/footer", "syntax", "layout/forms", "layout/page", "layout/archive", "layout/sidebar", "vendor/font-awesome/fontawesome", "vendor/font-awesome/solid", "vendor/font-awesome/brands", "vendor/magnific-popup/magnific-popup" ;

{"/about/":"https://sstocksieker.github.io/","/about.html":"https://sstocksieker.github.io/","/resume-json":"https://sstocksieker.github.io/cv-json/","/resume":"https://sstocksieker.github.io/cv/","/md/":"https://sstocksieker.github.io/markdown/","/markdown.html":"https://sstocksieker.github.io/markdown/","/nmp/":"https://sstocksieker.github.io/non-menu-page/","/nmp.html":"https://sstocksieker.github.io/non-menu-page/","/wordpress/blog-posts/":"https://sstocksieker.github.io/year-archive/"}

Jupyter notebook markdown generator

# Jupyter notebook markdown generator These .ipynb files are Jupyter notebook files that convert a TSV containing structured data about talks (`talks.tsv`) or presentations (`presentations.tsv`) into individual markdown files that will be properly formatted for the academicpages template. The notebooks contain a lot of documentation about the process. The .py files are pure python that do the same things if they are executed in a terminal, they just don't have pretty documentation.

{% if page.xsl %} {% endif %} {% assign collections = site.collections | where_exp:'collection','collection.output != false' %}{% for collection in collections %}{% assign docs = collection.docs | where_exp:'doc','doc.sitemap != false' %}{% for doc in docs %} {{ doc.url | replace:'/index.html','/' | absolute_url | xml_escape }} {% if doc.last_modified_at or doc.date %}{{ doc.last_modified_at | default: doc.date | date_to_xmlschema }} {% endif %} {% endfor %}{% endfor %}{% assign pages = site.html_pages | where_exp:'doc','doc.sitemap != false' | where_exp:'doc','doc.url != "/404.html"' %}{% for page in pages %} {{ page.url | replace:'/index.html','/' | absolute_url | xml_escape }} {% if page.last_modified_at %}{{ page.last_modified_at | date_to_xmlschema }} {% endif %} {% endfor %}{% assign static_files = page.static_files | where_exp:'page','page.sitemap != false' | where_exp:'page','page.name != "404.html"' %}{% for file in static_files %} {{ file.path | replace:'/index.html','/' | absolute_url | xml_escape }} {{ file.modified_time | date_to_xmlschema }} {% endfor %}

{% if page.xsl %}{% endif %}<feed xmlns="http://www.w3.org/2005/Atom" {% if site.lang %}xml:lang="{{ site.lang }}"{% endif %}>Jekyll<link href="{{ '/' | absolute_url }}" rel="alternate" type="text/html" {% if site.lang %}hreflang="{{ site.lang }}" {% endif %}/>{{ site.time | date_to_xmlschema }}{{ page.url | absolute_url | xml_escape }}{% assign title = site.title | default: site.name %}{% if page.collection != "posts" %}{% assign collection = page.collection | capitalize %}{% assign title = title | append: " | " | append: collection %}{% endif %}{% if page.category %}{% assign category = page.category | capitalize %}{% assign title = title | append: " | " | append: category %}{% endif %}{% if title %}{% endif %}{% if site.description %}{{ site.description | xml_escape }}{% endif %}{% if site.author %}{{ site.author.name | default: site.author | xml_escape }}{% if site.author.email %}{{ site.author.email | xml_escape }}{% endif %}{% if site.author.uri %}{{ site.author.uri | xml_escape }}{% endif %}{% endif %}{% if page.tags %}{% assign posts = site.tags[page.tags] %}{% else %}{% assign posts = site[page.collection] %}{% endif %}{% if page.category %}{% assign posts = posts | where: "categories", page.category %}{% endif %}{% unless site.show_drafts %}{% assign posts = posts | where_exp: "post", "post.draft != true" %}{% endunless %}{% assign posts = posts | sort: "date" | reverse %}{% assign posts_limit = site.feed.posts_limit | default: 10 %}{% for post in posts limit: posts_limit %}<entry{% if post.lang %}{{" "}}xml:lang="{{ post.lang }}"{% endif %}>{% assign post_title = post.title | smartify | strip_html | normalize_whitespace | xml_escape %} {{ post.date | date_to_xmlschema }}{{ post.last_modified_at | default: post.date | date_to_xmlschema }}{{ post.id | absolute_url | xml_escape }}{% assign excerpt_only = post.feed.excerpt_only | default: site.feed.excerpt_only %}{% unless excerpt_only %}<![CDATA[{{ post.content | strip }}]]>{% endunless %}{% assign post_author = post.author | default: post.authors[0] | default: site.author %}{% assign post_author = site.data.authors[post_author] | default: post_author %}{% assign post_author_email = post_author.email | default: nil %}{% assign post_author_uri = post_author.uri | default: nil %}{% assign post_author_name = post_author.name | default: post_author %}{{ post_author_name | default: "" | xml_escape }}{% if post_author_email %}{{ post_author_email | xml_escape }}{% endif %}{% if post_author_uri %}{{ post_author_uri | xml_escape }}{% endif %}{% if post.category %}{% elsif post.categories %}{% for category in post.categories %}{% endfor %}{% endif %}{% for tag in post.tags %}{% endfor %}{% assign post_summary = post.description | default: post.excerpt %}{% if post_summary and post_summary != empty %}

<![CDATA[{{ post_summary | strip_html | normalize_whitespace }}]]>

{% endif %}{% assign post_image = post.image.path | default: post.image %}{% if post_image %}{% unless post_image contains "://" %}{% assign post_image = post_image | absolute_url %}{% endunless %}{% endif %}</entry>{% endfor %}</feed>