update member list and website url

Author: erachelson

_config.yml

@@ -2,7 +2,7 @@ theme: jekyll-theme-minimal
 title: SuReLI
 description: Supaero Reinforcement Learning Initiative
 show_downloads: false
-url: "https://sureli.github.io"
+url: "https://sureli.isae-supaero.fr"
 logo: assets/images/LogoSureli-black.png
 blog_url: "https://sureli.isae-supaero.fr/blog"
 surelib_url: "https://github.com/SuReLI/surelib"

former-members.md

@@ -1,15 +1,18 @@
 ## Former members
 
+- [Giorgio Angelotti](https://scholar.google.com/citations?user=3ypB4l8AAAAJ&hl=it) (PhD 2020-2023, N. Drougard, C. Chanel) — Offline Learning for Planning 
+- [Kaitlin Maile](https://k8lion.github.io/) (PhD 2020-2023, D. Wilson, H. Luga) — Neural Architecture Search
+- [David Bertoin](https://davidbert.github.io/) (PhD 2019-2023, S. Gerchinovitz, E. Rachelson) — Generalization in RL  
 - Valentin Guillet (PhD 2019-2022, C. Aguilar, E. Rachelson) — Neural network distillation for generalization and transfer in Reinforcement Learning
 - Sandrine Berger (Post-doc 2019-2021, M. Bauerheim, T. Jardin, E. Rachelson) — Fluid flow control with RL  
-- Erwan Lecarpentier (Post-doc 2021-2022, D. Wilson) — Image-based CGP for Atari  
+- [Erwan Lecarpentier](https://erwanlecarpentier.github.io/) (Post-doc 2021-2022, D. Wilson) — Image-based CGP for Atari  
 - Antoine Stevan (PhD track student 2020-2021, E. Rachelson) — Emergence of communication for RL coordination  
 - Mathis Clautrier (PhD track student 2019-2021, D. Wilson) — Eye-tracking and RL saliency maps  
 - Thibault Lahire (PhD track student 2020-2021, M. Geist, E. Rachelson) — Importance sampling in Reinforcement Learning
 - Ilyass Haloui (PhD 2019-2021, C. Chanel, A. Haït) — Predictive Maintenance via Sequential Decision Making
 - François Lamothe (PhD 2018-2021, A. Haït, E. Rachelson) — Unsplittable Multicommodity flows
 - Sana Ikli (PhD 2017-2021, C. Mancel, M. Mongeau, X. Olive, E. Rachelson) —  Coupling OR and ML methods for Aircraft Landing Scheduling
-- Erwan Lecarpentier (PhD 2016-2020, C. Lesire-Cabaniols, G. Infantes, E. Rachelson) — Reinforcement learning in non-stationary environments
+- [Erwan Lecarpentier](https://erwanlecarpentier.github.io/) (PhD 2016-2020, C. Lesire-Cabaniols, G. Infantes, E. Rachelson) — Reinforcement learning in non-stationary environments
 - Luca Mossina (PhD 2016-2020, D. Delahaye, E. Rachelson) — Applications of Machine Learning to the Resolution of Recurrent Combinatorial Optimization Problems
 - Ankit Chiplunkar (PhD 2015-2017, J. Morlier, E. Rachelson) — Incorporating Prior Information from Engineering Design into Gaussian Process Regression, applications to Aeronautical Engineering
 - 2020-2021 interns: C. Cuny, E. Chigot  (Evolutionary RL), H. Sanchez (RL saliency maps), R. Garsuault (Robustness to model uncertainties)

index.md

@@ -16,6 +16,7 @@ Autonomous vehicles, control of optimization processes, rehabilitation exoskelet
 
 SuReLI is led by [Emmanuel Rachelson](https://personnel.isae-supaero.fr/emmanuel-rachelson/), with the collaboration of  
 [Dennis Wilson](https://people.isae-supaero.fr/dennis-wilson?lang=en) — ISAE-SUPAERO associate professor — Evolutionary Computation, Machine Learning  
+[David Bertoin](https://davidbert.github.io/) — IRT Saint Exupery researcher — Deep Learning    
 Giuseppe Ferraro — ISAE-SUPAERO lab engineer
 
 <details>
@@ -41,19 +42,19 @@ Industrial Eng., Constraint Programming  <br />
 <a href="https://cerco.cnrs.fr/pagesp/tim/">Timothée Masquelier</a> — CNRS CerCo senior researcher — Computational neuroscience  <br />
 <a href="https://cedric.cnam.fr/~kedadsis/">Safia Kedad-Sidhoum</a> — CNAM professor — Operations Research <br />
 <a href="https://sites.google.com/site/zacharieales/">Zacharie Ales</a> — ENSTA associate professor — Operations Research <br />
+<a href="https://www.crct-inserm.fr/annuaire/vera-pancaldi/">Vera Pancaldi</a> — INSERM researcher — Network Biology for Immuno-oncology <br />
 </details> 
 <br />
 Current Post-docs, PhD students and interns:  
+[Thomas Delliaux]() (PhD 2023-, E. Rachelson) — Representations in RL  
+[Alexandre Bertin]() (PhD 2023-, V. Pancaldi) — Dynamic treatment regimes for tumor micro-environments  
 [Paul Strang](https://www.linkedin.com/in/paul-strang-362754150/) (PhD 2022-, S. Kedad-Sidhoum, Z. Ales, E. Rachelson) — Solving repeated combinatorial optimization problems with machine learning  
 [Hedwin Bonnavaud](https://personnel.isae-supaero.fr/hedwin-bonnavaud/) (PhD 2021-, C. Chanel, C. Lesire, A. Albore, E. Rachelson) — Planning and RL for robot tasks  
 [Paul-Antoine Le Tolguenec](https://www.linkedin.com/in/paul-antoine-le-tolguenec-128b4018a) (PhD 2021-, D. Wilson, E. Rachelson) — Autopilot testing with RL  
 [Adil Zoutine](https://boring-guy.sh/) (PhD 2021-, E. Rachelson) — Robustness to model uncertainties in RL  
 [Mehdi Zouitine](https://mehdi-zouitine.netlify.app/) (PhD 2021-,  A. Lagnoux, C. Pellegrini, E. Rachelson), RL for heterogeneous space observation missions planning  
-[Giorgio Angelotti](https://scholar.google.com/citations?user=3ypB4l8AAAAJ&hl=it) (PhD 2020-, N. Drougard, C. Chanel) — Offline Learning for Planning  
-[Kaitlin Maile](https://k8lion.github.io/) (PhD 2020-, D. Wilson, H. Luga) — Neural Architecture Search  
 [Paul Templier](https://templierpaul.github.io/) (intern 2020, PhD 2020-, D. Wilson, E. Rachelson) — Bio-inspired Learning for Artificial Neural Networks  
-[Brice Martin](https://www.linkedin.com/in/brice-martin-b4b0a8155) (PhD 2020-, M. Bauerheim, T. Jardin, E. Rachelson) — Aircraft control with RL  
-[David Bertoin](https://davidbert.github.io/) (PhD 2019-, S. Gerchinovitz, E. Rachelson) — Generalization in RL  
+[Brice Martin](https://www.linkedin.com/in/brice-martin-b4b0a8155) (PhD 2020-, M. Bauerheim, T. Jardin, E. Rachelson) — Fluid flow control with RL  
 
 The "former members" list has grown quite long over time and can be found [here](former-members.html).