Thomas Mesnard

Graduate Student in Applied Mathematics and Machine Learning
Computer Science Department, École Normale Supérieure, Paris
Supervisor: Francis Bach

Education:
MSc in Applied Mathematics, Machine Learning, Computer Vision (a.k.a Master MVA).
École Normale Supérieure, Paris. Completed summa cum laude.

Work Experience:
Research Internship at the Laboratory of Computational Neuroscience, EPFL
Supervisors: Johanni Brea and Wulfram Gerstner
→ Exploring deep learning techniques with spiking neurons in energy based models
→ Investigating backpropagation with random feedback weights in deep neural networks

Research Internship at the Montreal Institute for Learning Algorithms, University of Montreal
Supervisor: Yoshua Bengio
→ Focusing on new biologically plausible deep learning algorithms
→ Exploring new versions of RNNs/Clockwork RNNs using LSTM and GRU

Research Internship at the Laboratory of Neuronal Circuit Development,Institut Curie
Supervisors: Christoph Gebhardt and Filippo Del Bene
→ ZebraFish visual system mapping using data-analysis and machine learning

Curriculum Vitae