Detailed list of skills, education, and experiences.


PhD in Physical Chemistry

Department of Chemistry, University of Toronto
Supervisor: Alán Aspuru-Guzik

MSc in Physics

Department of Physics, University of British Columbia
Supervisor: Sarah A. Burke

BSc in Physics First-class Honours

Minor in Interdiscplinary Life Sciences
Department of Physics, McGill University
Supervisor: Peter Grütter



Machine Learning and Data Science


May 2020–present

PhD graduate researcher, Aspuru-Guzik Matter Lab
  • Creating a software package for probabilistic prediction and classification on small datasets of molecules using TensorFlow. Examining the calibration of uncertainty in deep learning models. Manuscript in preparation.
  • Implementing string-based generative models in PyTorch for a molecular design benchmarking project. Manuscript in preparation.
  • Developing variational autoencoders trained with Bayesian models for low-data inverse design of molecules.
  • Designing new molecular graph features based on electronic structures with the goal of improving performance of graph-based neural networks on chemical structures.

Aug 2017–Apr 2020

MSc graduate researcher, Laboratory for Atomic Imaging (LAIR)
  • Studied the luminescence of single organic photovoltaic molecules using scanning tunneling microscopy (STM). Presented findings as an invited speaker at IVC 2019.
  • Supervised and provided guidance to a summer student in classifying molecules in STM images using computer vision and neural networks.
  • Performed DFT (Gaussian16) and quantum chemistry calculations for comparison with experimental results.
  • Characterized novel organic deep-blue fluorescent molecules designed by the Hudson Group at UBC.
  • Developed MATLAB analysis script to study strain in graphene samples, characterized by STM.