Our People

Dr. Conrard Tetsassi Feugmo

Group leader and Assistant Professor

The state of a really big system does not at all have to have the symmetry of the laws that govern it; in fact, it usually has less symmetry. An outstanding example of this is the crystal: Built from a substrate of atoms and space according to laws that express the perfect homogeneity of space, the crystal suddenly and unpredictably displays an entirely new and very beautiful symmetry.

Philip W. Anderson, More is Different Science 177, 393

Anupom is postdoctoral associate at Feugmo Group, specializing in integrating computational and machine-learning techniques to advance the understanding of molecular interactions. His research focuses on designing ophthalmic dyes for detecting intracellular inflammation using molecular docking, MD simulations, DFT, QM cluster calculations, QM/MM hybrids, and AI. Additionally, I predict gas adsorption in nanoporous materials by employing multiscale computational techniques and classical density functional theory to model adsorption isotherms.

Coming soon 

Venkatesh Sanjeevan Guruprasad is a PhD student at the University of Waterloo with a background in chemistry, nanoscale engineering. His research focuses on integrating artificial intelligence with computational modeling to advance lithium battery systems.

 !!!!

Agnes is a Chemistry MSc student focusing on investigating corrosion of high entropy alloys in molten salt using computational approaches, namely ab-initio molecular dynamics. Her ultimate goal is to better understand the mechanisms governing corrosion of alloys in salt and screen potential materials for corrosion resistance and the ability to withstand high temperatures for use in molten salt reactors. She holds a BSc in Honours Biochemistry from the University of Waterloo. 

Toby McConville is a master’s student at the University of Waterloo specializing in the development of physics-informed neural networks for electrochemical impedance spectroscopy. His research focuses on elucidating the activity and mechanisms of the oxygen evolution reaction on perovskite oxides in alkaline environments. He earned his Bachelor of Materials and Nanoscience in 2024 and is expected to complete his master’s degree in 2026.

David Pankaczy, a 2B undergraduate in Mathematical Physics, is working on a project that integrates advanced Point Defect Models (PDM) for corrosion kinetics with physics-informed neural networks (PINNs) using PhysicsNemo ecosystems. The task focuses on modeling oxide growth, porosity, and defect evolution to enhance understanding of nuclear-grade stainless steel safety and performance.

Advait Gore is a second-year undergraduate Nanotechnology Engineering student at the University of Waterloo. As part of the group, he is focusing on the application of generative diffusion models for learning stochastic dynamics in perovskite materials, focusing on oxygen atom diffusion. His interests include the intersection of molecular dynamics simulations and deep generative models.

Mohid Farooqi (Undergraduate Research Assistant)  is a second-year Mathematical Physics student at the University of Waterloo. His academic interests include quantum gravity, quantum information, information theory, and advanced machine learning techniques. As part of the group, He focuses on exploring the theoretical foundations of these fields, contributing to the team's efforts in developing mathematical frameworks to address challenges in these areas.