I'm a Materials Science and Engineering graduate from the University of Toronto, specializing in the intersection of Density Functional Theory (DFT)/first principle calculations and machine learning to tackle complex material science challenges. My research, spanning four years, focuses on catalytic structure optimization for sustainable energy, utilizing DFT simulations and machine learning for accelerated discovery. I also have experience simulating other materials systems such as High Entropy Alloys (HEA), Metal-Organic Frameworks (MOF), and Transition Metal Dichalcogenide (TMD) bilayers. I'm keen to connect with peers and professionals who are passionate about leveraging computational approaches for material innovation. Let’s explore collaborative opportunities to advance the field of materials science.