I'm a researcher in materials informatics, with a focus in applied machine learning. Also, I am a strong believer in open science and a supporter of science outreach efforts.
I enjoy cooking, martial arts (Taekwondo), listening to and playing music, reading sci-fi/fantasy novels, and playing video games. I also love dogs and exploring the outdoors. I received my BSc in Nanoscience from the University of Guelph, and I received my PhD in Materials Science from MIT, where I worked in the Olivetti Group, as a part of the Synthesis Project. Currently, I'm a data scientist at Citrine Informatics, where I work on a variety of materials development efforts and AI research projects.
Most of my time is spent working on various materials informatics research projects. These projects include industrial R&D for novel materials development, as well as research into new AI algorithms for materials discovery.
My PhD thesis was titled "Data-Mining Natural Language Materials Syntheses," and included research on learned data representations, physically-meaningful and interpretable model predictions, robustly evaluating generative models, and adapting NLP algorithms to domain-specific text.
Over the past several years, I've worked on a variety of projects spanning the fields of experimental physics, computational materials science, materials informatics, Python modules, machine learning consulting, and battery electrode design.