I joined AUA as a lecturer in Fall 2021. I am currently doing my Ph.D. in the field of statistics and machine learning theory at RAU. I studied applied mathematics (BSc and Masters) at YSU. Since 2016 I've been working at YerevaNN Machine Learning Research Lab as a Researcher in the field of Machine Learning, Neural Networks, and Natural Language Processing. In that period I’ve worked as a Machine Learning intern at Google, X - the moonshot factory, and Teamable. My research interests are Applied Statistics, Machine Learning Theory, and the Robustness of Neural Networks.
Higher education
2023 (ongoing), Ph.D. in Mathematical Modeling and Numerical Methods, Russian-Armenian University
2020, Masters Degree in Discrete Mathematics and Theoretical Informatics, Yerevan State University
2018, BSc Degree in Informatics and Applied Mathematics, Yerevan State University
Publications:
Robust Classification under Class-Dependent Domain Shift, ICML Uncertainty and Robustness in Deep Learning Workshop, 2020
On a random weighted sum of positive semi-definite matrices, Proceedings of YSU, Physical and Mathematical Sciences, 2020, v. 54, #2, p. 96-100
ON THE TRADEOFF BETWEEN ACCURACY AND FAIRNESS IN REPRESENTATION LEARNING, Proceedings of Russian-Armenian University, 2020
BioRelEx 1.0: Biological Relation Extraction Benchmark, Proceedings of the 18th BioNLP Workshop and Shared Task, 2018
Research database IDs:
Google Scholar: https://scholar.google.com/citations?user=RqqMcAEAAAAJ&hl=en
Awards:
• International Olympiad in Informatics (IOI), Bronze Medal, Taipei, Taiwan, 2014
Office location: 317W