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Resume (English only)
Academic Achievements
- Multiscale Perturbation Methods for Dynamic/Programmable Catalysis
- How Electrolyte pH Affects the Oxygen Reduction Reaction
- Uncertainty Quantification in Graph Neural Networks With Shallow Ensembles
- Towards Agentic Science for Advancing Scientific Discovery
- Mapping uncertainty using differentiable programming
Research Experience
- Member of the Chemical Engineering department at Carnegie Mellon University
- Research interests include developing machine learned potentials for molecular simulations, design of experiments for high-throughput experimentation, etc.
Background
An expert in the field of chemical engineering, focusing on utilizing data science and machine learning to solve problems in catalysis and engineering.