Cher-Tian Ser

PhD Student, Department of Chemistry, University of Toronto

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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.

selected publications

  1. Data-driven strategies for accelerated materials design
    Robert Pollice, Gabriel Passos Gomes, Matteo Aldeghi, Riley J Hickman, Mario Krenn, Cyrille Lavigne, Michael Lindner-D’Addario, AkshatKumar Nigam, Cher Tian Ser, Zhenpeng Yao, and  others
    Accounts of Chemical Research 2021
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  2. Designing piezoresistive materials from first-principles: Dopant effects on 3C-SiC
    Cher Tian Ser, Adrian Matthew Mak, Tomasz Wejrzanowski, and Teck Leong Tan
    Computational Materials Science 2021
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  3. Prediction of corrosion inhibition efficiency of pyridines and quinolines on an iron surface using machine learning-powered quantitative structure-property relationships
    Cher Tian Ser, Petar Žuvela, and Ming Wah Wong
    Applied Surface Science 2020
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  4. Iodoimidazolinium-catalyzed reduction of quinoline by Hantzsch ester: Halogen bond or Brønsted acid catalysis
    Cher Tian Ser, Hui Yang, and Ming Wah Wong
    The Journal of Organic Chemistry 2019
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