Publications
See Google Scholar profile for latest.
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Compound Screening with Deep Learning for Neglected Diseases: Leishmaniasis
Jonathan Smith*, Hao Xu*, Xinran Li*, Laurence Yang, Jahir M. Gutierrez.
Machine Learning in Computational Biology. PMLR, 2022 Jan 7.
[paper] [conference] -
Characterizing early Canadian federal, provincial, territorial and municipal nonpharmaceutical interventions in response to COVID-19: a descriptive analysis
Liam G. McCoy*, Jonathan Smith*, Kavya Anchuri, Isha Berry, Joanna Pineda, Vinyas Harish, Andrew T. Lam, Seung Eun Yi, Sophie Hu, COVID-19 Canada Open Data Working Group: Non-Pharmaceutical Interventions, Laura Rosella, Benjamin Fine
CMAJ Open. 2020 Aug 31;8(3):E545-E553. doi: 10.9778/cmajo.20200100. PMID: 32873583.
[paper] -
Non-Pharmaceutical Intervention Discovery with Topic Modeling
Jonathan Smith, Borna Ghotbi, Seungeun Yi, Mah Parsa
ICML 2020: Workshop on Machine Learning for Global Health
[paper] [workshop]
* equal contribution
Projects
- #HowsMyFlattening. A centralized data analytics and visualization hub monitoring Ontario’s response to COVID-19.
- Mobius Ray Tracer. Computer graphics engine from scratch with raytracing.
- Awkward Moving Robots. Laser-mapping, planning, and mobility framework for a two-wheeled robot running ROS.
- Votesavvy. Canadian civic engagement platform for 2015 federal election.
- Film Portfolio. Short films and documentaries from around the world.
Awards
- Kaggle COVID-19 Dataset Award. (2020) For open and curated datasets from Canada’s response to COVID-19 in the HowsMyFlattening COVID-19 Challenges.
- CBC Digital Products Award. (2019) For a prototype recommender system using contextual bandits to avoid filter bubbles.