Education
University of Toronto (Toronto, Ontario, Canada)
Doctor of Philosophy
Medical Biophysics
2023 - 2028 (exp.)
I am a Ph.D. student at the Department of Medical Biophysics at University of Toronto
and a member of the Schwartz Lab at Princess Margaret Cancer Centre, University Health Network and Vector Institute for Artificial Intelligence.
My thesis involves designing computational machine learning models to understand cancer heterogeneity from live-cell microscopy images in order to achieve better radiation treatment results.
Courses taken
- MBP1200H: Scientific Exposition and Ethics
- MBP1201H: Introductory Biostatistics
- MBP1300H: Quantitative Cancer Genomics
- MBP1301H: Radiation Oncology: Clinical and Experimental Radiobiology
- MBP1404H: Basics of Cell and Molecular Biology
- MBP1413H: Biomedical Applications of Artificial Intelligence
- LMP1107H: Bioinformatics in LMP
- MBP1302H: Structural Biology and Proteomics
- MBP1304H: Predictive Oncology and Therapeutics
Awards
Conference Talks and Presentations
- UTDRO/STARS21 Research Day (2026)
- Title: PENNE Infers Whole Transcriptomic Profiles from Live-cell Phase Contrast Microscopy Images through Domain Adaptation and Gated Attention
- 2025 Conference on Intelligent Systems for Molecular Biology (ISMB2025)
- Title: SPAGHETTI enhances phase contrast microscopy quantitative analyses using large-scale H&E morphological models through a generative deep learning approach
- University of Toronto Medical Biophysics Graduate Student Seminar (2025)
- Title: SPAGHETTI enhances phase contrast microscopy quantitative analyses using large-scale H&E morphological models through a generative deep learning approach
- Temerty Faculty of Medicine Research Showcase (2024)
- Title: Deciphering the transcriptome of dying cells with machine learning
- University of Toronto Medical Biophysics Symposium (2024)
- Title: Deciphering the transcriptome of dying cells with machine learning (Top 10 Poster)
- University of Toronto Medical Biophysics Graduate Student Seminar (2024)
- Title: Deciphering the transcriptome of dying cells with machine learning
University of Waterloo (Waterloo, Ontario, Canada)
Bachelor of Science
Major in Co-op Life Physics (Medical Physics Specialization)
2018 - 2023
I completed my undergraduate studies with a cumulative GPA of 94% and received Dean’s Honour for all academic terms.
Main courses taken
- Basic Math: Calculus, Linear Algebra, Statistics
- Applied Math: Differential equations, Multivariable calculus, Dynamic systems, Mathematical biology
- Computer Science: Algorithms, Data structures
- Biology: Cell biology, Physiology, Genetics, Neurophysiology, Evolution
- Chemistry: General chemistry, Organic chemistry, Biochemistry
- Physics: Classical mechanics, Modern physics, Electricity and magnetism, Biophysics, Medical physics
- Bioinformatics: Genomics, Bioinformatics, Protein structures
- Music: Classical and popular music history, Music technology, Jazz history, Film music history
Awards
- Science Memorial Scholarship (2023)
- President’s Research Award (2022)
- Biology Upper Year Scholarship (2021)
- President’s International Experience Award (2021)
- J. Frank Brookfield Scholarship for Excellence in Biology (2019)
- President’s Scholarship of Distinction (2018)