Experience

  • 2021 – present: Postdoctoral Scientist
    NSF BioPACIFIC-MIP (DMR-1933487)
    Applying simulation and ML to find novel polymers that can be made by biology instead of from petroleum.
  • 2019 – 2021: Postdoctoral Scientist
    University of California, Santa Barbara, CA, USA, Profs. Glenn Fredrickson and Scott Shell
    Worked with industrial partners (BASF, Dow) to develop novel simulations and analyses for formulation design.
  • 2012 – 2018: PhD Research Assistant
    California Institute of Technology, CA, USA, Prof. Zhen-Gang Wang
    Developed new theory of charged polymers for biological applications.
  • 2011 – 2012: Research assistant
    Academia Sinica, Taipei, Taiwan, Prof. Yeng-Long Chen

Skills

Technical
  • Programming: Python, C, Bash, HPC environments
  • Data science: NumPy, Pandas, Scipy, Scikit-Learn, PyTorch
  • Mathematics: Statistical learning
  • Simulations: molecular dynamics (OpenMM), continuum models (statistical field theories), coarse graining
  • Science: materials science, polymer science, chemical property prediction, statistical mechanics, thermodynamics, information theory
Other
  • Chinese: scientifically conversational
  • Grant/proposal writing
  • Editorial management

Education

  • 2018, PhD (Chemical Engineering)
    California Institute of Technology, Prof. Zhen-Gang Wang
  • 2011, B.S. (Chemical Engineering and Applied Mathematics)
    Yale University

Honors and Other Activities

  • 2022: Invited talk @ University of Duisburg-Essen
  • 2022: Instructor for Biopolymers course @ UCSB School for Scientific Thought
  • 2021: Invited talk @ AIChE annual meeting
  • 2018: Science for Public Good Grant from Union of Concerned Scientists
  • 2014-2018: NSF Graduate Research Fellowship
  • 2013, 2014: Two-time outstanding teaching award @ Caltech

Publications

Google scholar