Clean Energy Systems
Carnegie Postdoc at Stanford
Caltech PhD
Clean Energy Systems
Carnegie Postdoc at Stanford
Caltech PhD
Carnegie Postdoc at Stanford
Caltech PhD
Carnegie Postdoc at Stanford
Caltech PhD
I use weather data in macro-scale energy models to guide energy infrastructure plans and tech innovation. My PhD combined techno-economics and materials chemistry to assess and advance long-duration energy storage in reliable wind and solar systems. Postdoc advisors: Steve Davis at Stanford, Ken Caldeira at Carnegie.
Reliable and affordable electricity systems based on variable wind and solar generation resources may depend on the ability to store large quantities of low-cost energy over long time-scales.
I model energy storage technologies and study their roles in renewable electricity systems. Long-duration energy storage can reduce costs of wind-solar-battery systems with currently available technology.
I develop earth-abundant and acid-stable water splitting catalysts to improve hydrogen fuel production. Hydrogen fuel can be used for long-duration energy storage.
I am best known for my research on long-duration energy storage which has been cited 350+ times in Google Scholar. I am co-author of 12 peer-reviewed publications (four first author).
I have experience developing courses and mentoring Caltech undergrads in sustainable engineering. (See also: Energy system modeling graduate-level course by Tom Brown - 800 slides and 18 hours of videos.)
I participated in the 2024 Energy and Climate-Tech Innovation Policy “Boot Camp” for Early Career Researchers in Washington D.C. Our cohort is developing a climate-energy research brief web-platform bringing academic research to policymakers.
(See also: policy citations.)