Detailed CV (last update: October 2025).
Education
Ph.D. in Applied Mathematics
- Thesis title: Learning with system constraints: applications to fairness
- Supervisors: Mohamed Hebiri, Evgenii Chzhen, Jean-Michel Loubes
- Member of the LAMA, IMT, and CELESTE teams
Master’s Degree in Mathematics and Applications
- Program: Statistics and Machine Learning, M2 Mathematics of Randomness
Bachelor’s Degree (with Honour) in Mathematics
Experience
Postdoctoral Researcher
Doctoral Student / Study Engineer
- Employed as a study engineer within an extension contract for doctoral studies
Doctoral Student
- Employed as a doctoral student within the “confiance.ai” program, in collaboration with Gustave Eiffel University and University of Toulouse
Research Intern
- Topic: Fairness-Adjustment Methods for Regression
Machine Learning Engineer
- Data analysis and predictive modeling across data mining, image processing, NLP, and recommender systems projects; delivered models as APIs and Docker images
Machine Learning Lecturer
- Taught common machine learning algorithms and their implementation in Python on real datasets
Secondary School Teaching Assistant
- Algebra and geometry; mandatory internship for the Bachelor’s degree curriculum
Languages
- Armenian: native
- English: fluent
- Russian: fluent
- French: basic