Abhay Goyal
Data Scientist
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolAbhay Goyal is a data scientist and PhD physicist with 12 years of experience applying statistical physics, simulation, and machine learning to real-world problems across startups, national labs, and academia. He builds end-to-end solutions—from foundational research and prototype design to production-ready tools—specializing in agent-based and discrete-event simulation, data valuation, and crypto-economic modeling. At Valence he develops data-valuation algorithms grounded in network science and game theory, and previously led simulation-driven product work for decentralized exchanges at Sifchain. His academic work produced scalable numerical methods for suspensions and a highly cited Science Advances paper on cement cohesion, demonstrating a rare ability to translate deep theory into actionable models. Comfortable communicating complex ideas to nontechnical stakeholders, he also mentors and collaborates across disciplines, blending rapid cross-domain learning (NLP, cryptography, economics) with rigorous research practice. Based in Washington, DC, he pairs quantitative depth with a pragmatic focus on shipping tools that inform decisions and policy.
12 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at Georgetown UniversityBachelor of Science (BS), Mathematics, Physics, Bachelor of Science (BS), Mathematics, Physics at New York University
English, French, Hindi
Github Skills (16)
flower7
python5
android5
federated-learning5
ios5
cpp5
raspberry-pi5
artificial-intelligence4
machine-learning4
deep-learning4
pytorch4
grpc4
tensorflow4
ai4
scikit-learn3
Programming languages (1)
Github contributions (5)
Abhaygoya/relativisticEuler
Dec 2013 - Jul 2022
Contributions:9 commits in 8 years 8 months
Abhaygoya/arxivAnalysis
Jun 2023 - Jul 2023
Contributions:10 pushes in 26 days
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