A curious guy excited to innovate solutions for a better world.

I am a master's student at the University of British Columbia (UBC) working on applications of deep learning in medicine. Specifically, I am developing novel techniques to make deep learning models more generalizable on pathology images and improve the process of cancer diagnosis. My research interests lie in deep learning, computer vision, and medical images.

Previously, I helped develop a medical device prototype for treating Peyronie's disease (patent application in progress) and worked in pharmaceutical research and production after my bachelor's degree in Chemical and Biological Engineering at UBC.

You can learn more about my career history on my resume.

Select Publications

Boschman, J, Farahani, H, et al. “The Utility of Color Normalization for AI-Based Diagnosis of Hematoxylin and Eosin-Stained Pathology Images.” The Journal of Pathology, Sept. 2021, doi:10.1002/PATH.5797.

Featured Projects

One Minute Machine Learning

I am the chief author and editor of a publication on Medium dedicated to short articles summarizing important concepts and papers related to machine learning.

RSNA-MICCAI Brain Tumor Radiogenomic Classification

I participated in a Kaggle competition involving predicting whether or not a glioblastoma patient has a certain genetic sequence in their tumor based on 3D MRI DICOM brain scans. This involved working with MRI data (like writing functions to resample data from the sagittal or coronal plane to the axial plane) and creating custom PyTorch models.

Get In Touch

Whether it's an inquiry, constructive feedback, or you just want to chat, I look forward to hearing from you. Please feel free to send an an email or connect with me on LinkedIn.