Hi there!

I’m an incoming graduate student in the Department of Medical Biophysics at the University of Toronto. I completed my undergraduate degree at U of T, where I studied Computer Science (with a Focus in AI) and Biochemistry. I’ve taken advanced coursework in deep learning, computer vision, statistical learning, structural biology, bioinformatics, computational biology, and more.

Currently, I’m working on two projects at the Sunnybrook Research Institute. The first is developing a multi-omic model for predicting breast cancer subtypes and the second is predicting recurrence of bladder cancer using WSIs. I’m grateful to be supervised by Dr. Alison Cheung at the Biomarker Imaging Research Laboratory and Dr. Anne Martel.

A large research interest of mine during my undergraduate degree was the cryo-em problem. My senior thesis aimed to develop methodology to reconstruct membrane proteins embedded in their native lipid bilayer by using prior knowledge about their relative orientation. I was co-supervised by Dr. John L. Rubinstein at SickKids and Dr. David J. Fleet at Vector Institute.

I’ve also been trained as a wet-lab scientist, and have experience in confocal fluorescence microscopy, tissue culture, and protein purification, done under the supervision of Dr. Peter K. Kim at SickKids. In Dr. Kim’s lab, I completed a summer research project and my junior thesis, where I looked at looked at translocation patterns of mitochondrial and peroxisomal proteins; and studied the fission machinery of mitochondria.

I’m more broadly interested in computational imaging, bioinformatics, and computational neuroscience, and will be pursuing post-graduate studies in (more than one of?) these fields.

My hobbies include playing basketball, trying coffee shops around Toronto, and playing the official format of the Pokémon videogame, VGC.

Please feel free to contact through any of the channels to the left.