CV
Curriculum Vitae and professional background
Industrial Experience
π’ 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.
π Orbital Materials (Summer '23)
ML Research Intern - Early-stage startup
Generative foundation model for material design focusing on porous materials applications.
π€ Meta AI (Summer '22)
Research Intern - AI Research
Atomic foundation model across molecules, materials, and proteins. Contributed to OC22 dataset and SCN model.
Academic Research Experience
π Carnegie Mellon University
PhD Student (2020-2024)
Machine learning for materials discovery under Prof. John Kitchin and Prof. Zachary Ulissi.
π Columbia University
Research Intern (2019)
Air quality modeling with Prof. Faye McNeill using machine learning methods.
πΈπ¬ National University of Singapore
Research Intern (2018)
Protein motif identification with Prof. Duane Loh using deep learning approaches.
Skills & Technologies
π€ Machine Learning
PyTorch, Graph Neural Networks, Diffusion Models, Multi-task Learning, Transfer Learning
βοΈ Materials Science
DFT, Molecular Dynamics, Catalysis, Battery Materials, Computational Chemistry
π» Programming
Python, CUDA, High-Performance Computing, Data Analysis, Scientific Computing
π§ Contact for Opportunities
For detailed CV, references, or collaboration opportunities, please reach out via email.