Hello and welcome to my website! I am currently a staff researcher at the National Renewable Energy Laboratory where I work with engineers and industrial partners to develop and evaluate vehicle thermal systems, advanced powertrains, and vehicle decarbonization technologies. Previously, I was a Postdoctoral Research Fellow at Polytechnique Montreal where I worked with Charles Audet and Bruno Blais on topological optimization of thermo-mechanical systems for innovative industrial manufacturing processes. I did my Ph.D. at McGill University, where I was supervised by  Agus Sasmito. My research is focused on developing multi-scale and multi-physics frameworks to model industrial problems involving fluid mechanics, chemical reactions, heat transfer, and mass transport. I use a combination of asymptotic analysis and numerical methods to solve the governing PDEs. Furthermore, I also frequently incorporate supervised machine learning methods to conduct sensitivity and optimization analyses of the fundamental models that I build.

Some of the mathematical and numerical tools that I have used for my projects are as follows:

To implement the numerical schemes and the mathematical methods enumerated above, I have utilized commercial, academic, and open-source software tools extensively for my research. Prominent examples include MATLAB, Simulink, Python (NumPy, Pandas, SciPy, Scikit-learn, TensorFlow, Keras), GitHub, and ANSYS Fluent. My work benefits from the experimental and field data for validation so I work in close collaboration with other experimentalists and field engineers from the industry.

Outside of work, I enjoy playing music, singing, team sports (Cricket in particular), and exploring the outdoors through hiking, bike touring, mountain biking, and adventure climbing. The cover photo of my website shows the glorious, spire-shaped rock formations of the Bryce Canyon, taken during a climbing/hiking trip to Colorado/Utah (Christmas break 2020).