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Hello!
Thank you for taking the time to explore my E-Portfolio. I am a mechanical engineer turned chemist working at the intersection of Chemistry, Mechanical Engineering, Software Engineering and Artificial Intelligence developing tools and algorithms to accelerate materials discovery. I am currently an Eric and Wendy Schmidt AI in Science Postdoctoral Fellow at Imperial College London. Prior to this, I received my PhD under the advisement of Prof. Christopher Hendon in 2021. Here, I focused on developing open source postprocessing software to enhance data analysis of solid-state and molecular calculations and modelling defects in MOFs. I then joined the Jelfs Group at Imperial College London as a postdoctoral researcher, where I increased my focus on porous materials design and discovery – specifically developing methods and algorithms to realize novel porous liquids. During this time, I also led (under the supervision of Prof. Kim Jelfs) an industry collaboration, where the team demonstrated a fully closed-loop materaisl discovery workflow driven by Bayesian optimization. Inspired by this industry collaboration, and as an AI in Science Postdoctoral Fellow, I am now focusing on developing the framework and algorithms that facilitate and underpin closed-loop, autonomous materials discovery initiatives. My research interests include, materials discovery methods and algorithms, generative AI, symbolic ML, and data-driven optimization. Check out my LinkedIn and GitHub profiles! |
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