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2014 – 2023 · Nanjing
Materials engineering, then a PhD on fuel cells and electrolyzers: synthesis, electrochemical testing, characterization. I learned how expensive trial-and-error can be.
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2020 – 2023 · First ML work
ML papers on electrocatalysts and membrane assemblies. The hard part was never just the material. It was the whole system.
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2023 · Chicago & Argonne
Schmidt AI in Science Fellowship. I switched from running experiments to building AI that decides which experiments are worth running.
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2024 – 2026 · The stack
DToR for hypotheses, T3 for screening, RAPIDS for validation.
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2026 → · Co-scientist
The Seed Fund project runs the full loop on a real membrane problem.
University of Chicago & Argonne National Laboratory
Eric and Wendy Schmidt AI in Science Fellow | Resident Associate
Sept. 2023 – Present
Advisors: Prof. Junhong Chen (PME/Argonne) & Prof. Yuxin Chen (CS)
Ph.D. in Engineering
Nanjing University, China
Sept. 2018 – Jun. 2023
Visiting Internship
Hong Kong University of Science and Technology
Oct. 2022 – Apr. 2023
B.Eng.
Nanjing University, China
Sept. 2014 – Jun. 2018
ICML 2026 AI4Physics Workshop
Poster: Geometry, Not Energy Surface, Drives the Neutral MLIP–DFT Gap (RAPIDS)
July 2026 — upcoming
ICLR 2026 AI4Mat Workshop
Spotlight Oral: Text-Twin-Translation (T3)
Brazil — 2026
NeurIPS 2025 AI4Mat Workshop
Poster: Deep Research with Local-Web RAG
San Diego, CA — December 2025
NeurIPS 2025 ML4PS Workshop
Poster: Neuromorphic Random Walk for Phosphate Adsorption
San Diego, CA — December 2025
248th ECS Meeting
Chicago, IL — October 2025
Gordon Research Seminar on Nanomaterials for Energy Technology
Ventura, CA — February 2025
ACM ICONS: International Conference on Neuromorphic Systems
Seattle, WA — July 2025
Knowledge-Guided Machine Learning Workshop
University of Michigan — August 2025
Schmidt Sciences Entrepreneurship Retreat
Cold Spring Harbor Laboratory — September 2025
2026 Schmidt AI in Science Faculty Fellowship
Mentoring Omolola Ogbolumani (faculty, University of Lagos, Nigeria) — Human-in-the-Loop AI Design for Food, Energy, and Water Nexus (FEW-N) Optimization
University of Chicago, Jan.–Jun. 2026
2026 AI+Science Hackathon
Judge; source code & dataset provider for the multi-agent framework track
University of Chicago, April 2026
AI+Science Schmidt Fellows Speaker Series
Host Representative
University of Chicago, 2024–2026
2025 AI Presidential Challenge
Mentoring junior high school students on AI applications
2025
Research Experience for Nigerian Undergraduates (RENEU)
Mentee: Covenant Amoo — LLM for FET Sensor Knowledge Extraction
University of Chicago, 2025
Research Experience for Nigerian Undergraduates (RENEU), Cohort 2024
Assisted mentoring: Abdulafeez Olaitan — Dynamic Reshaping of Nanodroplets Under Electron Beam Radiation
University of Chicago, 2024
AI+Science Hackathon
Team of 4 undergraduates — AI for materials characterization
University of Chicago, 2025
LLM Hackathon for Materials Science & Chemistry
Project: V-RAPIDS
Argonne National Lab, 2025