Hung Q. Pham

Hung Q. Pham

AI × Quantum, for chemistry and beyond.

Science accelerates when AI meets deep domain expertise.

I'm a Research Scientist at ByteDance Seed. I earned my Ph.D. in quantum chemistry with Laura Gagliardi at the University of Minnesota, developing quantum embedding methods for materials, then did a postdoc with David Reichman at Columbia on auxiliary-field quantum Monte Carlo for periodic solids. Since joining ByteDance in 2022, I've worked on generative AI for reaction chemistry, high-throughput scientific data pipelines, and FEMION, a GPU-accelerated embedding framework for metals.

I build at the intersection of AI and science, combining modern deep learning and agentic AI with high-fidelity ab initio data from quantum chemistry to reveal hidden chemical transformations that drive progress in drug development, materials design, energy, and beyond. Outside fundamental research, I bring the same AI + Science mindset to real-world problems, creating systems that bring AI into new fields to boost productivity. From agentic workflows to intelligent tools, if AI can make something faster, smarter, or more impactful, I want to build it.

WorkWhat I work on

AI

Agentic AI

Workflows and tools that put AI into research and engineering work.

Quantum chemistry

Quantum many-body methods

Quantum embedding and quantum Monte Carlo for strongly correlated and metallic systems, at 1 kcal/mol accuracy.

Papers (13)

SoftwareThings I've built and shipped

PapersRecent papers

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Google Scholar

ExperienceAcademia and industry

2022–nowByteDance Research Scientist AI for science and quantum chemistry
2021–2022Columbia University Postdoctoral Research Scientist with David Reichman Auxiliary-field quantum Monte Carlo for periodic solids
2017–2021University of Minnesota, Twin Cities Research Assistant with Laura Gagliardi Electronic structure theory, quantum embedding, and materials design
2011–2015MANAR & ICST, Ho Chi Minh City Research Assistant with Nguyen-Nguyen Pham-Tran Periodic DFT, grand canonical Monte Carlo, and reticular chemistry for gas-storage materials

EducationAcademic background

2015–2021Ph.D. in Quantum ChemistryUniversity of Minnesota, Twin Cities
2007–2011B.S. in ChemistryVNUHCM - University of Science
Full CV (PDF)

Working on something useful?

I'd like to bring an AI + Science mindset to it.

pqh3.14@gmail.com

© 2026 Hung Q. Pham