Gaurav S. Deshmukh

I’m currently working as a postdoctoral researcher under Prof. Linda Broadbelt in the Chemical and Biological Engineering Department at Northwestern University. My research is focused on the modelling of catalytic processes involved in the chemical recycling of plastics using Density Functional Theory (DFT) and population balance models.

I received my bachelor’s in chemical engineering from the Institute of Chemical Technology (formerly, UDCT) in Mumbai. Following my period of undergraduate study, I proceeded to Purdue University in the United States to pursue a doctorate in chemical engineering under the guidance of Prof. Jeffrey Greeley. My doctoral thesis focused on the study and design of high-entropy alloy catalysts for thermal and electrocatalytic applications, such as fuel cells, using computational methods, including DFT and deep learning. Read my publications here.

I’m interested in the applications of computational modelling and machine learning towards the solution of problems in the sustainable generation of energy and production of fuels and chemicals. I am also interested in technical writing and science communication, and to that end, I have written several articles in the Medium publication Towards Data Science on mathematical modeling, chemical engineering, physics, and programming over the past six years. Read my articles here.