🏢 Samsung (Summer '24)

ML Research Scientist - Advanced Materials Lab

End-to-end discovery of solid-state battery electrolyte materials - from generative models to experimental validation.

🚀 Orbital Materials (Summer '23)

ML Research Intern - Early-stage startup

Generative foundation model for material design focusing on porous materials applications.

🤖 Meta AI (Summer '22)

Research Intern - AI Research

Atomic foundation model across molecules, materials, and proteins. Contributed to OC22 dataset and SCN model.

🎓 Carnegie Mellon University

PhD Student (2020-2024)

Machine learning for materials discovery under Prof. John Kitchin and Prof. Zachary Ulissi.

🌍 Columbia University

Research Intern (2019)

Air quality modeling with Prof. Faye McNeill using machine learning methods.

🇸🇬 National University of Singapore

Research Intern (2018)

Protein motif identification with Prof. Duane Loh using deep learning approaches.

🤖 Machine Learning

PyTorch, Graph Neural Networks, Diffusion Models, Multi-task Learning, Transfer Learning

⚗️ Materials Science

DFT, Molecular Dynamics, Catalysis, Battery Materials, Computational Chemistry

💻 Programming

Python, CUDA, High-Performance Computing, Data Analysis, Scientific Computing