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.
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:
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.
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