2024 AIChE Annual Meeting

(4z) Computational Catalyst Design and Discovery for Green Chemistry and Renewable Energy Technologies

Climate change stands as a critical global issue, with the energy sector being a major contributor. Catalysis science and technology offer promising solutions, particularly in developing green chemistry and renewable energy technologies. These advancements could significantly impact our approach to sustainable energy and industrial processes. Computational catalysis enables atomistic insights into catalyst materials, makes predictions for catalyst performance, and saves time on experimental testing.

My Research Interests are in the field of catalyst design and discovery for energy challenges using computational methods towards a comprehensive understanding of catalytic systems to guide new catalyst design and accelerate material development.

Teaching Interests: Having a great passion to inspire the next generations of engineers, I will use active learning methods and effective communication skills to create a safe and inclusive learning environment. With my background in chemical engineering, I am prepared to teach any core chemical engineering courses at the undergraduate and graduate levels.

Overall, my career goal is to build a strong and reputable group in computational catalyst discovery to accelerate energy solutions. I hope to continue encouraging next generations to contribute to engineering technologies and help build a diverse and inclusive community.