My academic journey began at Trinity College, University of Cambridge, where I earned a BA Hons in Natural Science and an MSci. in Materials Science. I pursued my Ph.D. under Sir Anthony Cheetham in Cambridge, focusing on the materials chemistry and mechanical properties of hybrid perovskites for energy harvesting.

I undertook postdoctoral training as a MITei Energy Fellow at MIT's Department of Mechanical Engineering with Prof. Tonio Buonassisi, and later became a research scientist leading the Accelerated Materials Development Team. My research there was centered on building high-throughput platforms for thin-film solar cells and utilizing machine learning to drive experimentation.

Prior to joining UW, I served as a Senior Research Scientist at the Toyota Research Institute in Silicon Valley, exploring AI-accelerated materials discovery and design for electric vehicle batteries and fuel cells. I specialized in developing informatics tools for the health diagnostics of Li-ion batteries. I had the opportunity to act as an industry liaison for several academic-industry collaborations in the battery domain.

I'm passionate about materials informatics education and have instructed data science tutorials at MRS from 2021 to 2023. I'm a member of the MRS AI Staging Committee and serve as an associate editor for APL Machine Learning.

Outside of work, I took up bouldering and top rope climbing after relocating to the west coast. On rainy days, you might find me enjoying myself reading a clichéd novel over a cup of English breakfast tea.