Academic web page

Anna Timonina-Farkas

PhD · Research Professor · IMD Lausanne · FindeX Founder

Scientific researcher in Operations Research and Extreme-Value Statistics, combining theory and data-driven methods in multi-stage optimization under model and decision-dependent uncertainties. Founder of FindeX.

Anna Timonina-Farkas
+41.76.817.22.88
Lausanne, Switzerland
About

Research overview

My name is Anna Timonina-Farkas and I am a Research Professor at the International Institute for Management Development (IMD) in Lausanne, Switzerland, and the founder of FindeX. My research focuses on theory and data-driven solution methods in multi-stage optimization under model and decision-dependent uncertainties. Application areas include financial planning, inventory control, energy production and trading, pension fund management, supply chain resilience, and high-dimensional information retrieval.

I earned my PhD degree (with honors) in Statistics and Operations Research at the University of Vienna in April 2014, with a dissertation devoted to theoretical and practical aspects of multi-stage stochastic optimization. Before joining Vienna, I received my BSc and MSc in Applied Mathematics and Physics at the Moscow Institute of Physics and Technology (MIPT), where I first pursued research on regularizations and simulation models for the PageRank problem under the supervision of Prof. Boris Polyak.

As for my professional experience, I served as a Research Scholar at the Risk, Policy and Vulnerability program at IIASA (Vienna, Austria), pursuing research on natural disaster risk management. As recipient of a Schrödinger Fellowship of the Austrian Science Fund, I subsequently conducted research at EPFL's Risk, Analytics and Optimization Department and at the University of Vienna. From 2018 to 2024 I was a Scientific Researcher at EPFL's Chair of Technology and Operations Management (TOM), and in April 2024 I joined IMD as Research Professor.

I received several awards for the quality of my research: Enable Grant (2023), E4S Grant (2022), University of Vienna Publication Award (2017), Schrödinger Fellowship (2015), Best Student Paper Prize at CMS (2013), and IIASA's Mikhalevich Award (2011).

My goal is to work on both interesting and challenging projects, and I am always looking for new ways to become a better scientist.

Current position

Academic positions

Research Professor
04/2024 – present
International Institute for Management Development (IMD) · Lausanne, Switzerland
Research on AI methods enhancing reliability of the Internet — combining optimization under uncertainty and machine learning for distinguishing AI-generated content from human-written text. Research on AI methods mitigating societal risks (natural disaster relief, CO₂ reduction). Robust optimization under multi-stage and decision-dependent uncertainty.
Scientific Researcher
09/2015 – 03/2024
EPFL · TOM and RAO Departments · Lausanne, Switzerland
Research on robust Internet ranking under network uncertainty (published in Operations Research). Risk management of natural disasters. ENABLE grantee, E4S grantee, ThinkSport 2022 winner. Supervised master theses at CERN, EyeOn, Roger Dubuis. Co-supervised 3 PhD theses.
Research Scholar
10/2012 – 08/2015
International Institute for Applied Systems Analysis (IIASA) · Vienna, Austria
Data-driven research on natural disaster risks via heavy-tail distributions. Developed a structured coupling approach for joint probability loss distributions in high dimensions. Analysed flood risk across 796 river basins in the EU.
Research Assistant
09/2010 – 12/2013
University of Vienna · Department of Statistics and Operations Research · Vienna, Austria
Numerical methods for signal cleaning and optimal distribution quantization. Developed methods for multi-stage stochastic programs. Defended PhD thesis with honors.
Teaching

Lecturing

EPFL
02/2025 – present
Supply Chain Management (master level)
EM Lyon
09/2024 – present
Operations, Data and AI · Risk Management in Disrupted Times · Business Analytics · Data Visualization
Swiss School for International Relations (SSIR)
09/2024 – present
Risk Management and Insurance · World Economy
University of Vienna
2012 – 2018
Classification, Clustering & Discrimination · Econometric Software · Business Statistics · Business Mathematics