Assistant Professor, Teaching Stream

Teaches: "Data-based Modelling for Prediction and Control (CHE507H)"

MEng projects:
Application of Machine Learning in Process Control
Predictive Analytics and Multi-objective Optimization in Process Engineering: A Case Study

Professor

"My research is focused on applying mathematical and numerical modeling in two broad areas: financial analysis and applied computational fluid dynamics (CFD). A key aspect of my research is the application of modeling to solve practical problems. My financial analysis research is primarily focused in the valuation of engineering projects with an emphasis on real options."

Assistant Professor

"We are developing high-throughput methods that integrate automation, synthetic biology, and machine learning to create engineered microbiomes that recover a broad range of bioproducts from waste streams at commercially viable titers, rates, and yields."

Professor

"We have developed accurate biosensors for small metabolites and are leveraging these sensors along with in house automation and collaboration with Joint Genome Institute (JGI) to generate data and are developing novel machine learning methods for protein language modeling using natural language processing algorithms."

Assistant Professor

"The Artificial Intelligence for Chemical Science (AI4ChemS) group is a highly interdisciplinary research unit working at the intersection of machine learning, computation, and their applications in innovation in accelerated materials design and discovery. We have strong expertise in developing machine learning and computational methods in the field of reticular chemistry and porous materials, including metal-organic frameworks, covalent organic frameworks, and zeolites."