Tigran Galstyan

🎓 PhD Candidate in Computer Science | 🧠 Machine Learning Researcher

📍 3/11 Avan-Ariuj, Yerevan, Armenia 0022
📱 +374 (91) 00-45-49 | 📧 galstyantik@gmail.com
🔗 LinkedIn | GitHub | Google Scholar

🎓 Education

PhD in Computer Science
Institute for Informatics and Automation Problems of NAS RA
📅 2020–2024 | Adviser: A. S. Dalalyan
📜 Thesis: “Statistical and Computational Complexity of the Feature Matching Map Detection Problem”

Master of Science in Discrete Mathematics & Theoretical Informatics
Bachelor of Science in Computer Science & Applied Mathematics
Yerevan State University
📅 2014–2020 | 🏅 GPA: 19/20 (Both Degrees)

Physical and Mathematical Specialized School
📅 Graduated 2014 | 🥇 Valedictorian (Top of 140 students) | GPA: 9/10

💼 Professional Experience

YerevanN Research Lab

🧠 Machine Learning Researcher | 📅 July 2016 – Present

📍 Yerevan, Armenia

• Led Aerial Vision-and-Language Navigation for UAVs using multimodal models (LLaVA, Chameleon)

• Developed statistical methods for feature matching map recovery (Paper

  Code)

• Pioneered work on domain generalization failures (Code)
• Built BioreIEx biological relation extraction system (ACL Paper)
• Created LSTM-based transliteration models (Blog)

American University of Armenia

👨🏫 Adjunct Professor | 📅 Sep–Dec 2021

• Taught DS115 Data Structures/Algorithms to 130 students
• Adapted Stanford’s CS 161 curriculum for Python-based competitive programming

🌟 Google Internships

X, the Moonshot Factory

🤖 Software Engineering Intern | 📅 Jun–Aug 2019 | 🇩🇪 Munich

• Bridged simulation-to-reality gaps for The Everyday Robot project

Google NYC

📹 Software Engineering Intern | 📅 Aug–Oct 2018 | 🇺🇸 New York

• Improved YouTube captioning with contextual biassing
• Designed named entity transcription evaluation metrics

Google Switzerland

✍️ Research Intern | 📅 Jul–Sep 2017 | 🇨🇭 Zurich

• Enhanced handwriting recognition via adversarial training

📚 Publications

1. Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution
   Vardanyan E., Hunanyan S., Galstyan T., et al. (2024). ICML
2. Matching Map Recovery with an Unknown Number of Outliers
   Minasyan A., Galstyan T., et al. (2023). AISTATS
3. Failure Modes of Domain Generalization Algorithms
   Galstyan T., Harutyunyan H., et al. (2022). CVPR
4. Biorelex 1.0: Biological Relation Extraction Benchmark
   Khachatrian H., Galstyan T., et al. (2019). ACL BioNLP Workshop

(10+ total publications in ICML, CVPR, EJS, and more)

🏆 Honors & Awards

• 🥉 Bronze Medal, International Olympiad in Informatics (IOI 2014)
• 🥉 Bronze Medal, Zhautikov Olympiad in Informatics (2014)
• 🏅 Finalist, Google Hashcode (2017, 2018)

🛠 Skills

| Category | Details | |———————|————————————————–| | Programming | Python (NumPy, PyTorch), LLMs, Neural Networks | | Machine Learning| Domain Generalization, Vision-Language Models | | Languages | Armenian (Native), English, Russian (Fluent) |

📜 References

1. Arnak Dalalyan
   Director at CREST, France | PhD Co-Advisor
2. Aram Galstyan
   Distinguished Principal Scientist, USC ISI | Research Mentor