I am currently an Assistant Professor HES in Business Analytics at the Haute École de Gestion de Genève (HEG Geneva), part of the University of Applied Sciences, Western Switzerland. I teach various topics around data science, information systems and business analytics, conduct research in artificial intelligence, theoretical and applied machine learning and statistics, as well as write open source software. I am also pleased to offer my expertise for consulting and implementation services in public-private collaborations.

Short Bio

In 2010, I earned a BSc in Physics, followed by an MSc in Physics/Financial Engineering in 2012 at the Swiss Federal Institute of Technology in Lausanne (EPFL). Subsequently, I obtained a PhD in Statistics from HEC Lausanne in 2016, focusing on generalized additive models for conditional dependence structures among random variables.

Following my doctoral studies, in 2017, I then received a Swiss National Science Foundation fellowship and moved to New York to join the Statistics Department of Columbia University as a postdoctoral researcher. Within a year, in 2018, I was promoted to Assistant Professor to teach as well as keep pursuing my research in artificial intelligence, theoretical and applied machine learning and statistics, contributing to top-tier journals and conferences.

In January 2022, I then left academia for the tech industry, joining Meta (Facebook) as a senior Research Data Scientist. Partnering with multiple infrastructure teams, I developed data-driven solutions for large scale video infrastructure challenges.

Notably, I also had two experiences as a Quant in the finance industry:

  • Between my MSc and PhD (2012), I have interned at Swissquote Bank Ltd, implementing methods to blend subjective investor’s views in quantitative portfolio allocations.
  • Between my PhD and Postdoc (2016), I have worked at swissQuant Group AG to develop risk model for large portfolio of financial derivatives on energy commodities.

In the Fall of 2023, I returned to Geneva to join the University of Applied Sciences, Western Switzerland, as an Assistant Professor HES in Business Analytics.

Interests
  • Methodology Artificial Intelligence, Machine Learning, Computational Statistics, Multivariate Analysis, Time-Series
  • Programming
    Python/SQL/C++/R/MATLAB
  • Applications
    Financial Econometrics, Business Analytics, Operations Research
Education
  • PhD in Statistics, 2016

    HEC Lausanne

  • MSc in Physics, 2012

    Swiss Federal Institute of Technology, Lausanne

  • BSc in Physics, 2010

    Swiss Federal Institute of Technology, Lausanne