CV
Education
PhD in Computer Science, Institute for Informatics and Automation Problems, NAS RA — 2024 Thesis: Statistical and Computational Complexity of the Feature Matching Map Detection Problem. Advisor: A. S. Dalalyan.
MSc in Discrete Mathematics and Theoretical Informatics, Yerevan State University — 2020 GPA 19/20.
BSc in Computer Science and Applied Mathematics, Yerevan State University — 2018 GPA 19/20.
Physical and Mathematical Specialized School, Yerevan — 2014 Valedictorian (top of 140 students), GPA 9/10.
Experience
Postdoctoral Researcher — L2S, CentraleSupélec (CNRS / Université Paris-Saclay) 2024 – Present, Paris, France
- Developing theoretical foundations for machine learning methods at the intersection of statistical learning, optimization, and computer vision.
Machine Learning Researcher — YerevaNN Research Lab 2016 – Present, Yerevan, Armenia
- Aerial Vision-and-Language Navigation for UAVs using multimodal models (LLaVA, Qwen).
- Statistical theory and algorithms for feature matching map recovery (paper, code).
- Domain generalization and invariant representation learning (code).
- BioRelEx biological relation extraction benchmark (paper, code).
- Sequence-to-sequence transliteration for Armenian (blog, code).
Adjunct Professor — American University of Armenia Sep – Dec 2021, Yerevan, Armenia
- Taught DS115 Data Structures and Algorithms to a class of 130 students, adapted from Stanford CS 161.
Software Engineering Intern — X, the Moonshot Factory (Google) Jun – Aug 2019, Munich, Germany
- Worked on bridging the simulation-to-reality gap for the Everyday Robot project.
Software Engineering Intern — Google Aug – Oct 2018, New York, USA
- Contextual biasing for the YouTube captioning system; named-entity transcription evaluation.
Research Intern — Google Jul – Sep 2017, Zurich, Switzerland
- Adversarial training techniques for handwriting recognition.
Machine Learning Intern — Teamable Software Jul – Sep 2016, Yerevan, Armenia
- Implemented and benchmarked word-embedding methods (Brown clustering, Word2Vec, FastText).
Selected Publications
A full list is available on the Publications page and on Google Scholar.
- Nurijanyan, N., Tamazyan, H., Galstyan, T. Teaching Visual Language Models to Navigate using Maps. 7th Robot Learning Workshop: Towards Robots with Human-Level Abilities, 2025.
- Vardanyan, E., Minasyan, A., Hunanyan, S., Galstyan, T., Dalalyan, A. Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution. ICML, 2024.
- Minasyan, A., Galstyan, T., Hunanyan, S., Dalalyan, A. Matching Map Recovery with an Unknown Number of Outliers. AISTATS, 2023.
- Galstyan, T., Minasyan, A., Dalalyan, A. Optimal detection of the feature matching map in presence of noise and outliers. Electronic Journal of Statistics, 2022.
- Galstyan, T., Harutyunyan, H., Khachatrian, H., Ver Steeg, G., Galstyan, A. Failure Modes of Domain Generalization Algorithms. CVPR, 2022.
Teaching
DS115 Data Structures and Algorithms — American University of Armenia, Fall 2021.
Armenian National Olympiad in Informatics — Jury member and tutor, 2014 – 2016. Trained high-school students for national and international programming competitions; co-prepared tasks for the national contest and IOI team selection.
Honors and Awards
- Bronze Medal, International Olympiad in Informatics (IOI), 2014, Taipei.
- Bronze Medal, International Zhautikov Olympiad in Informatics, 2014, Almaty.
- Finalist, Google Hash Code, 2017 (Paris) and 2018 (Dublin).
Skills
- Programming: Python, PyTorch, TensorFlow, NumPy, scikit-learn.
- Research: Statistical learning theory, optimization, computer vision, multimodal and vision-language models, domain generalization.
- Languages: Armenian (native), English (fluent), Russian (fluent).