Antoine Bodin

I am a third year PhD student in Computer Science Department at EPFL (Swiss Federal institute of Technology of Lausanne). My research revolves around machine learning theory, statistical physics, random matrix theory, optimisation problems and artificial intelligence.

I have a Master of Science in Computer Science from EPFL and a Master of Engineering in applied Mathematics and a Minor in Financial Engineering.


Work Experience

Data Scientist, Credit-Suisse (Lausanne and Zurich)

3 years, 6 months (Feb 2016 - July 2019)

  • Mathematical modelling, analysis and model development in transaction surveillance for fraud detection and monitoring money laundering activity

  • Design and implementation of a holistic client analysis framework

Software Engineer Intern, Google (Mountain View)

3 months (July 2015 - Sept. 2015)

  • Deep Learning and Natural Language Processing at Google News


  • (2019 - Today) PhD of Computer Science - EPFL, Lausanne, Switzerland

  • (2014 - 2016) Master of Computer Science - EPFL, Lausanne, Switzerland

  • (2012 - 2014) Master of Engineering in Applied Mathematics - Centrale Paris, Paris, France

  • (2015 - 2016) Minor of Financial Engineering - EPFL, Lausanne, Switzerland

  • (2010 - 2012) Preparatory Classes MPSI/MP* - Pasteur Neuilly sur Seine, Paris, France

Dev. Skills

  • Python (Expert, >10years) (Tensorflow, PyTorch, Matplotlib, Django, Pandas, Numpy, Scipy, Requests, Jupyter, etc)

  • OCaml (>10years, occasional) (yacc, lex)

  • C/C++ (>10years, occasional) (OpenCL, OpenGL, GTK)

  • Javascript, HTML, CSS (occasional) (React, MongoDB, SQL, etc)