(2me) Utilizing Computational Methods for the Design and Enhancement of Energy Storage Systems

My primary research interest revolves around energy storage systems, encompassing various aspects such as the application of nano-separators in Li⁺ commodity mining, the development of polarizable forcefields for high-ionic systems, and the design of electrolytes for Li⁺ batteries through a polarizable forcefield approach. I am keen on delving into the fundamental mechanisms and theoretical principles that inform the design and optimization of energy storage systems using molecular simulations, with the potential integration of machine learning techniques.

My doctoral research predominantly focused on the exploration of energy recovery and storage systems through the utilization of molecular dynamics (MD) simulations. This research spanned a broad spectrum of topics, including the study of fluid distribution and transport within nano-porous materials, the characterization of properties at multiphase interfaces, the formulation of electrolytes for lithium-ion batteries, and investigations into CO2 geo-sequestration and its practical applications.

Through these endeavors, especially in the realm of electrolyte design, I came to recognize the pivotal role of polarized forces in high ionic systems. Notably, there was a gap in transferable forcefields for such systems. This propelled me to seek my current postdoctoral position, where I could learn and be trained in polarizable forcefield development. My current work focuses lies in enhancing the precision of interactions between mono-atomic ions (Li⁺, Na⁺, K⁺, and more) and prevalent polar functional groups in biomolecules in the classical Drude oscillator model.

Prior to my immersion into computational research, I also assumed the role of an experimentalist during my master's studies. During this phase, I made contributions towards the advancement of mechanically resilient self-healing supra-molecular polymers. I gained foundational expertise in material sciences, polymer physics, chemical synthesis, and analysis. This experience notably expanded my outlook, a revelation that crystallized during engagements with experimentalists and computational chemists.

Teaching Interests

During my Ph.D. program, I had the privilege of serving as a teaching assistant (TA) for the course CIV E 395 - Civil Engineering Analysis on two separate occasions. These experiences not only allowed me to gain valuable insights into the role of a teaching assistant but also provided an opportunity to refine my teaching skills. I actively improved my teaching abilities by participating in seminars like the Graduate Teaching and Learning Program at the University of Alberta. I also enhanced my skills through courses at UMB, specifically in inclusive education like "Leader camp on-demand: Inclusive Leadership." Additionally, I mentored a diverse group of students, including high school, undergraduate, master's, and Ph.D. students, in collaboration with my academic advisors.

Looking ahead to my teaching interests, at the undergraduate level, I am enthusiastic about instructing introductory chemical engineering courses, such as Introduction to Chemical Engineering, Transport Phenomena, and Thermodynamics. I am also well-equipped to teach foundational courses like Mathematics for Chemical Engineers. As for the graduate level, I have a strong interest in teaching advanced courses centered around computational chemistry, such as an in-depth offering on Statistical Mechanics and Advanced Thermodynamics.