![](https://www.epfl.ch/labs/lions/wp-content/uploads/2024/06/Aidan-Li.jpg)
Aidan Li (2024)
Causal inference Probabilistic machine learning Graph neural networks Cognitive science
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2024/09/Kaito-Fuiji_ctopped.jpg)
Kaito Fujii (2024)
Submodular Optimization, Online Learning, Game Theory
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2023/12/LIONS_photo_Xu-cropped.jpg)
Tian Xu (visiting PhD student – 2024)
Imitation Learning Theory, Reinforcement Learning.
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2024/03/Yihang-Chen-.jpg)
Yihang Chen (2024)
Large Language Models: Safety in LLMs Applied Probability: Stochastic Control, Optimal Transport, Generative Flow Networks AutoML: Pruning, Neural Architecture Search
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2023/11/Basile-Lewandowski-1093x1080.jpg)
Basile Lewandowski (2024)
Federated Learning Optimization Distributed Computing
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2023/09/artem-agafonov.jpg)
Artem Agafonov (visiting PhD student 2023)
Convex optimization Stochastic optimization High-order optimization Machine learning
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2023/06/Anh-Duc-Nguyen.jpg)
Anh Duc Nguyen (2023)
Convex Optimization Online Learning
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2022/09/Wanyun-Xie.-photo-cropped.jpg)
Wanyun Xie (2023)
Distributed machine learning, Optimization, Communication Systems
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2022/07/Mohammad-Sharifi_cropped.jpg)
Mohammadamin Sharifi (2022)
Machine learning, Optimization
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2022/07/Harfouche_ID_photo_cropped.jpg)
Rayan Harfouche (2022)
Statistical Physics, Optimization, Information theory
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2022/07/Yongtao-cropped.jpg)
Yongtao Wu (2022)
Deep learning, Over-parametrized models
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2022/06/photo-Artem_cropped.jpg)
Artem Zholus (2022)
Machine Learning
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2020/09/tsyntseh.jpg)
Hlib Tsyntseus (2021)
Mathematical optimization, Statistics and Applications
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2021/08/Prateek.jpg)
Prateek Varshney (2021)
Applied deep learning, Optimization techniques, Casual Inference, Computational Neuroscience, Language Representation, Statistical Sampling Techniques
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2021/08/photo_Daria_Kotova_squared.jpg)
Daria Kotova (2021)
Machine Learning, Gaussian Processes
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2020/09/Jonathan-Sauder.jpg)
Jonathan Sauder (2020)
Machine Learning, Compressive Sensing
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2020/10/zhaodong_sun--1480x1080.jpg)
Zhaodong Sun (2020)
Generative model, Deep learning, Inverse problem
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2019/11/Cheng-Shi-cropped-e1574157177664.png)
Cheng Shi (2020)
Statistical Physics and Electronic Information, Spin Glass Theory and Information Theory.
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2019/11/Pedro-Abranches_cropped-1223x1080.jpg)
Pedro Abranches (2020)
Bayesian optimization Machine Learning Causality Neuroscience
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2019/11/Lello_Dadi_cropped.jpg)
Dadi Leelo Tadesse (2020)
Research Interests: Optimization Algorithms and Randomness.
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2019/12/Bora-Dogan_cropped.jpg)
Bora Dogan (2019)
nternship project topic: Reinforcement Learning on Networks
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2019/11/Poan-Wang_cropped.jpg)
Pai-An Wang (2019)
Internship project topic:
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2019/11/Clement-Lalanne_-cropped.jpg)
Clément Lalanne (2018)
Internship project topic: Storage-optimal continuous optimization
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2019/11/Fatih-_Sahin-cropped-e1574157475176-1094x1080.jpg)
Mehmet Fatih Sahin (2018)
Internship project topic: Projection-Free Adaptive Convex Optimization
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2019/12/Tmas-Sanchez_cropped.jpg)
Thomas Sanchez (2018)
Internship project topic: Learning-based Compressive Sensing for dynamic MRI
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2019/11/Renbo-Zhao_cropped.jpg)
Renbo Zhao (2017)
Internship project topic: Stochastic three-operator splitting method via variance reduction.
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2019/11/Junyao-Zhao_cropped.jpg)
Junyao Zhao (2017)
Internship project topic: Robust submodular maximization, submodularity in non-convex optimization.
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2019/12/Alban-Pierre_cropped1.jpg)
Alban Pierre (2016)
Internship project topic: Molecular energy prediction using coulomb, wavelet and scattering representations. Spectral optimizers for gradient descent.
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2019/12/Behrooz-Azarkharlili_cropped1.jpg)
Behrooz Azarkharlili (2016)
Internship project topic: Bayesian Optimization
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2019/11/Ethan-Kao-cropped.jpg)
Yu-Chun Kao (2016)
Internship project topic: Alternating Minimisation
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2019/01/Greg-square.png)
Gergery Odor (2015)
Internship project topic: Theoretical guarantees for optimization algorithms Quantum tomography
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2019/12/Nissim-Zerbib_cropped.jpg)
Nissim Zerbib (2015)
Internship project topic: Theoretical guarantees for M-estimators in high dimension Matrix completion
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2019/01/satpathi_crop.png)
Siddhartha Satpathi (2015 & 2013)
Internship project topic: Group Sparse Models and Submodular function theory.
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2019/12/vipul_gupta_cropped.jpg)
Vipul Gupta (2015)
Internship project topic: Efficient sampling and compression of ensembles of intracortical EEG signals
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2019/11/amirhossein_cropped.jpg)
Amirhossein Hadavi (2014)
Internship project topic: Graphical modeling of brain connections and random matrix theory for applications in linear inverse problems.
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2019/12/raj-das_cropped.jpg)
Rajshekar Das (2014)
Internship project topic: Active sampling for digital confocal microscopy.
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2019/12/Prateek-Vashishtha_cropped.jpg)
Prateek Vashishtha (2014)
Internship project topic: Structured sparsity with shearlets as sparsifying basis for Compressive Sensing
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2019/12/Rouzbeh-Hasheminezhad_cropped.jpg)
Roozbeh Hasheminezhad (2014)
Internship project topic: Convex model-based signal recovery via expander matrices.
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2019/12/Ehsan-Abassi_cropped-1.jpg)
Ehsan Abbasi (2013)
Internship project topic: Matrix completion.
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2019/12/Rabeeh-Karimi_cropped.jpg)
Rabeeh Karimi Mahabadi (2013)
Internship project topic: Sparse Covariance Selection and Phase-retrieval.
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2019/12/Sajal-Jain_cropped.jpg)
Sajal Jain (2012)
Internship project topic: Analysis of structured sparse signals using Linear Programming.
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2019/12/hemant-tyagi_cropped.jpg)
Hemant Tyagi (2012)
Internship project topic: Low dimensional models for high dimensional data.
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2019/12/Nirav-Bhan_cropped.jpg)
Nirav Bhan (2012)
Internship project topic: Discrete Structured Sparsity Models and Dynamic Programming.
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2019/12/mohammad-hossein_cropped-1.jpg)
Mohammad Hossein Shafinia (2011)
Internship project topic: Synthesis and atomic norm formulation equivalence for sparse signal recovery.
![](https://www.epfl.ch/labs/lions/wp-content/uploads/2019/12/shayan-Dasmiz_cropped.jpg)
Shayan Dashmiz (2011)
Internship project topic: Sparse Data Analysis.