(6cr) Data-Driven Modeling in Chemical Engineering and Molecular Science

Recent advances in data-driven modeling and deep machine learning have revolutionized the fields of computer vision, natural language processing, and game playing. Inspired by these recent success, I demonstrate the application of several methods from deep generative modeling and reinforcement learning on problems in molecular design and discovery, transport phenomena, and process control.

Research Interests: Data-Driven Modeling and Machine Learning, Molecular Design and Discovery, Artificial Intelligence in Chemical Process Design and Control

Teaching Interests: Thermodynamics, Transport Phenomena, Chemical Reaction Engineering & Kinetics, Data Science in Chemical Engineering