Arec Jamgochian
Research Scientist at Terra AI
Palo Alto, California, United States
Summary
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Senior🎓
Top SchoolArec Jamgochian is a research scientist based in Palo Alto with 10 years of experience applying planning, learning, and decision-making techniques to real-world systems. After completing a PhD at Stanford in 2024 on safe, data-driven decision-making under uncertainty, he now builds AI-driven decision support for sustainable carbon storage and mineral exploration at TerraAI. His work bridges autonomy, earth science, and engineering, with publications in top robotics and AI venues and hands-on experience deploying POMDP-based decision systems for autonomous vehicles. He has industrial research experience from BlackRock AI Labs and a track record of teaching and mentoring large university courses on sequential decision making and optimization. Arec’s background spans aerospace, simulation, photonics, and quantum theory, reflecting an unusually broad foundation that informs robust system design under uncertainty. Passionate about the environment, he focuses on translating advanced autonomy research into tools that support sustainable resource development.
10 years of coding experience
8 years of employment as a software developer
Universitat Politècnica de ValènciaThe University of Maryland, College ParkDoctor of Philosophy - PhD, Aeronautics/Astronautics, Minor in Computer Science, Doctor of Philosophy - PhD, Aeronautics/Astronautics, Minor in Computer Science at Stanford University
English, Armenian, Spanish
Github Skills (16)
simulation8
interaction8
simulator7
julia7
markov-decision-processes7
imitation-learning7
localization4
deep-reinforcement-learning3
gaussian-processes3
monte-carlo-tree-search3
value-iteration2
ocr2
keras2
mechanical-engineering1
grammars1
Programming languages (4)
Github contributions (5)
sisl/InteractionImitation
Jul 2021 - Aug 2022
Imitation Learning with the INTERACTION Dataset
Contributions:1 release, 126 commits, 3 pushes in 1 year 2 months
imitation-learning
jamgochiana/evMDP
Nov 2018 - Jul 2019
Repository for electric vehicle charge scheduling with a fully-observable Markov Decision Process
Contributions:40 commits, 29 pushes, 1 branch in 8 months
markov-decision-processes
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