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
I am looking for a motivated PhD candidate in statistics, machine learning and artificial intelligence to focus on the prediction of extreme climates and the evaluation and management of associated risks and impacts. If you are passionate about cutting-edge research in climate science, statistics, ML and AI, I encourage you to apply.
Official listing: PhD Position in Statistics, Machine Learning and Artificial Intelligence
The main mission will be to conduct innovative research aimed at high-level scientific publications within the framework of a doctoral thesis in the following fields: statistics, machine learning, and artificial intelligence, applied to the prediction of climatic extremes as well as the assessment and management of the risks and potential impacts of these extremes.
The selected candidate will enroll as a doctoral student in Business Analytics at HEC Lausanne, under the co-supervision of myself at HEG, Prof. Valérie Chavez (HEC Lausanne, Department of operations), and Dr. Erwan Koch at UNIL’s Expertise Center for Climate Extremes (ECCE).
Holder (or in the process of obtaining) a Master’s degree in statistics, computer science, applied mathematics, or a related field.
Strong interest in cutting-edge research, scientific writing and presentation, as well as the fields of machine learning, statistics, optimization, and mathematical modeling.
Solid programming skills, particularly in languages such as Python, R, etc.
Expertise with scientific computing, data processing and visualization, and machine learning libraries such as NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, PyTorch, etc.
Excellent command of English (for research) and French (for teaching).
Organizational skills, autonomy, flexibility, and team spirit.
Strong taste for interdisciplinarity and collaboration between different scientific disciplines.
Version control systems such as Git, writing in LaTeX, and SQL database management.
Low-level programming languages for performance optimization such as C/C++, CUDA.
Experience in climate modeling and/or simulation of extreme climatic phenomena.
I am pleased to offer my expertise for consulting and implementation services in public-private collaborations. With a robust background and significant experience in both academia and industry, I am uniquely positioned to bridge the gap between cutting-edge research and practical application in the business world. Services are available through direct contracting or via Innosuisse grants (see below). For inquiries, please contact me.
Engage in groundbreaking innovation projects by partnering with a research institution. As an industry partner, whether from the private or public sector, you have the opportunity to apply jointly for financial support. These projects are ideal if they hold the promise of commercial success or societal benefit. I can guide you through the process of application, development, and implementation, ensuring your innovative ideas reach their full potential.
For SMEs or organizations with fewer than 250 full-time equivalents, there is an opportunity to receive an Innovation Cheque worth up to 15,000 Swiss francs. This funding is designed to evaluate the feasibility of innovative concepts. My role involves aiding in preliminary studies, idea development and evaluation, and analyzing both innovation and market potentials.