Hi! I’m Joseph Szymborski. I’m a postdoctoral researcher at McGill University in Prof. Amin Emad’s COMBINE lab. I have a very interdisciplinary academic background, with a B.Sc. in Biochemistry, an M.Sc in Experimental Medicine, and most recently a Ph.D. in Electrical Engineering.

I study how deep learning can help us better understand molecular biology, focusing on making robust and accurate predictions of protein-protein interactions.

My Ph.D. thesis tackled the problem of how data leakage and brittle models plague deep learning models for computational biology, especially those focused on inferring interactions between proteins. You can learn more by reading the manuscripts I co-authored and my thesis.

In the past, I’ve worked as a Machine Learning Developer at Coveo Solutions, where I worked with the R&D team to implement machine learning algorithms at large scale to return search results for our clients. I also wrote a report comparing deep learning frameworks of the time that I’m rather proud of (although it’s showing it’s age).

Before that, I completed a Master’s of Science in Prof. Luke M. McCaffrey’s lab, where I studied machine learning approaches for the recognition of breast cancers from biopsy microscopy. You can read the thesis I submitted here.