CV

Education

• Visiting Ph.D. Scholar in Statistics and Operational Research,
  Columbia University (New York City, USA, 2024)
• Ph.D. in Statistics,
  University of Geneva (Switzerland, 2020–2025)
• Supplementary Minor in Computational Science and Engineering,
  EPFL (Lausanne, Switzerland, 2018–2019)
• M.Sc. in Applied Mathematics,
  EPFL (Lausanne, Switzerland, 2017–2020)
• B.Sc. in Mathematics,
  EPFL (Lausanne, Switzerland, 2014–2017)

Work experience

Lecturer in Statistics & Postdoctoral Researcher at University of Geneva (Switzerland, Feb 2026–ongoing)

Research And Teaching Assistant at University of Geneva (Switzerland, Oct 2020–Jan 2026)

• Teaching
• Co-created the master programme course "Advanced Topics in Machine Learning and Artificial Intelligence" and taught its practical classes about natural language processing (GPT) and reinforcement learning (autonomous robots).
• Managing teaching assistant for B.Sc. Probability class (~400 students per semester, team of 4 assistants, for 5 semesters).
• Assisted in reworking the "Machine Learning" master programme course with modern tools, and taught practical lectures and tutorials (4 semesters).
• Research
• Successful research project management, from brainstorming stage to final execution, for all undertaken projects.
• Effective long-term collaboration with leading and junior scientists from various institutions and countries.

Data Science Consultant for Services Industriels de Genève (SIG) (Geneva, Switzerland, Aug–Dec 2019)

• Project management, needs analysis and concrete solution proposals for better data use and analysis procedures leading to a significantly better use of resources in finances, marketing and business intelligence.
• Predictive analysis for customer satisfaction enabling a better understanding of the market, and reduced churn probabilities.

Junior Data Scientist at Qim info SA (Geneva, Switzerland, Jul–Dec 2019)

• Development of an AI mobile app for predicting the risk of heart diseases.
• Conception of a chat bot solution for administrative and HR requests.
• Development of a reinforcement learning framework for future consultants.
• Introductory training talks on the topics of data science, mathematics, ML and AI.

Publications

Teaching

Talks