résumé
General information
| Name | Kai Chen |
| Label | Computational Neuroscientist | Ph.D in Mathematics |
| Url | https://neoneuron.github.io/ |
Education
-
2020.10 - Present Paris, France
-
2020.09 - 2025.09 Shanghai, China
Ph.D in Mathematics
Shanghai Jiao Tong University, Shanghai, China
- Scientific Computing
- High performance Computing in ODEs and PDEs
- Inverse Problems
-
2018.09 - 2020.06 Shanghai, China
Master in Physics
Shanghai Jiao Tong University, Shanghai, China
- Advanced Statistical Physics
- Biological Physics
- Advanced Electrodynamics and Analytical Mechanics
-
2013.09 - 2017.06 Shanghai, China
Bachelor in Physics
Shanghai Jiao Tong University, Shanghai, China
- Statistical Physics
- Computational Physics
- Biological Physics
- Electrodynamics
- Linear Algebra
- Calculus
- Partial Differential Equation
- Complex Variables
Awards
- 2025.01.24
Cosyne New Attendee Travel Grant
Computational and Systems Neuroscience (COSYNE) 2025
- 2024.01.24
Best Poster Award
The 3rd Chinese Computational and Cognitive Neuroscience Conference
- 2017.06
Outstanding Graduate Student
Shanghai Jiao Tong University
- 2016.10
National Scholarship for Undergraduate
The Chinese Ministry of Education
- 2016.04
Successful Participant in COMAP's Mathematical Contest in Modeling
Consortium for Mathematics and its Applications (COMAP)
- 2015.11
Second Prize in National Mathematical Contest in Modeling
China Society for Industrial and Applied Mathematics
- 2015.10
Champion in Shanghai Mathematical Contest in Modeling
China Society for Industrial and Applied Mathematics
- 2014.09
Liuyuan Scholarship
Shanghai Jiao Tong University
- 2014.06
Champion in Shanghai Undergraduate Physicists' Tournament
Chinese Physical Society
Talks
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Linking causal and structural connectivity in pulse-output nonlinear networks.
2024.11 -
Quantitative relations among causality measures with applications to pulse-output nonlinear network reconstruction.
2023.05SIAM Conference on Applications of Dynamical Systems (DS23)
Portland, Oregon, USA
-
Modeling attentional modulated spike count correlation in macaque V1.
Posters
-
Unveiling the cognitive computation using multi-area RNN with biological constraints.
2025.03The 22nd Annual Computational and Systems Neuroscience (COSYNE)
Montreal, Canada
-
Nonlinear network reconstruction using pairwise time-delayed transfer entropy.
2025.01The 4th Symposium on Neural Computation and Beyond (SYNCB)
Shanghai, China
2024.09 -
Quantitative relations among causality measures with applications to pulse-output nonlinear network reconstruction.
2023.08The 10th International Congress on Industrial and Applied Mathematics (ICIAM2023)
Waseda University, Tokyo, Japan
2023.08 -
Modeling Attentional Modulated Spike Count Correlation in Macaque V1.
Skills
| Python | |
| efficient RNN/ANN training and data analysis, experienced user of PyTorch, Jax/Flax, scikit-learn, neurogym, etc. |
| C/C++ | |
| fast simulator for spiking neuronal networks |
| Shell | |
| regular maintenance of high performance computing servers/clusters |
| MATLAB/Octave | |
| data analsis |
| LaTeX | |
| manuscript writing |
Languages
| Manadarin | |
| Native |
| English | |
| Fluent |
| French | |
| Beginner |
Interests
| Chinese Traditional Culture | |
| Chinese Calligraphy | |
| Chinese Flute |
| Sports | |
| Powerlifting | |
| Road Cycling |
Projects
- 2024.06 - Present
- 2021.09 - 2023.12
- 2022.12 - 2023.06
- 2021.01 - 2021.08
- 2019.12 - 2020.12
- 2016.02 - 2017.06
- 2014.09 - 2015.06
- 2016/08 - 2016/09
References
| Professor Douglas Zhou | |
| Professor Songting Li | |