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**