Hello! I am broadly interested in using computational methods and machine learning techniques to help scientists design and develop new catalytic and energy materials more efficiently. I am currently supervised by Alan Aspuru-Guzik.
I was a Research Engineer at the Institute of High Performance Computing in the Agency for Science, Technology and Research (A*STAR) in Singapore. Before this, I graduated with a B.Sc (Hons) in Chemistry from the National University of Singapore. I was also part of the University Scholars Programme, a selective interdisciplinary and multidisciplinary academic program.
I currently volunteer with Pueblo Science, an organization based in Toronto that helps underprivileged communities have greater access to STEM education.
- Data-driven strategies for accelerated materials designAccounts of Chemical Research 2021
- Designing piezoresistive materials from first-principles: Dopant effects on 3C-SiCComputational Materials Science 2021
- Prediction of corrosion inhibition efficiency of pyridines and quinolines on an iron surface using machine learning-powered quantitative structure-property relationshipsApplied Surface Science 2020
- Iodoimidazolinium-catalyzed reduction of quinoline by Hantzsch ester: Halogen bond or Brønsted acid catalysisThe Journal of Organic Chemistry 2019