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About
About
I received my PhD from the University of Liverpool in the United Kingdom, supervised by Professor Matthew J Rosseinsky OBE FRS and Professor Laurence Hardwick, where I focused on the design and mechanistic study of next-generation electrode materials. In 2024 I joined the Materials Department at the University of California Santa Barbara where I work with Professor Ram Seshadri in the Materials Research Laboratory linking battery electrode science with correlated and quantum materials.
Research
Research
My research aims to connect the chemistry of energy materials with the physics of correlated and quantum systems, revealing new pathways for designing multifunctional materials. I utilize X-ray and neutron crystallography, pair distribution function analysis, and spectroscopy (NMR, Raman, IR, XAS, XPS) to uncover structure–property relationships which aid in the design of advanced functional materials. I am also interested in using electrochemistry to provide dynamic control over emergent electronic and magnetic behavior in solid materials.
Featured News
2025 Nobel Prize in Chemistry to Honor MOF Pioneers
Omar Yaghi (UC Berkeley), Susumu Kitagawa (Kyoto), and Richard Robson (Melbourne) have been awarded the 2025 Nobel Prize in Chemistry for developing metal-organic frameworks (MOFs)—porous molecular architectures with vast internal surface areas. These structures can absorb, store, and release gases, enabling breakthroughs in water harvesting, carbon capture, hydrogen storage, and pollutant removal.
UC Santa Barbara physicists Win 2025 Nobel Prize in Physics
UC Santa Barbara physicists John Martinis and Michel Devoret, alongside UC Berkeley’s John Clarke, have been awarded the 2025 Nobel Prize in Physics for pioneering experiments that revealed quantum tunneling and energy quantization in superconducting circuits. Their work with Josephson junctions in the 1980s laid the foundation for today’s digital technologies and future quantum computing. This marks UCSB’s eighth faculty Nobel. We celebrate their lasting impact on communication, computing, and sensing technologies.
UC awards $18 million to scale up the ambition and impact of AI in science
The University of California has awarded $6 million to our LEAP project (Language-model Enabled AI for Physics) through its new AI Science at Scale initiative. Led by Professor Ram Seshadri at UC Santa Barbara, LEAP aims to accelerate discovery of low-energy switching materials by training specialized large language models on theory, experimental data, and simulations. By focusing on topological materials with unconventional electron behavior, our team seeks to identify promising candidates for energy-efficient chip design. This award joins two other $6M grants in genomics and geothermal energy, funded via UC’s stewardship of Los Alamos and Lawrence Livermore National Labs.
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