Arjun Virk

About

Hey, I’m Arjun! I’m a 18 y/o from Toronto, Canada working at the intersection of AI x Cancer. Most of my previous work has been rooted in using AI to improve current cancer detection and treatment methods. Just last year, I built a few projects in detecting Melanoma and NSCLC and predicting their recurrence risk. Most notably, I developed a deep-learning system for predicting the most suitable immunotherapy (ICI therapy) treatment which was awarded a Silver Medal at the Canada-Wide Science Fair (CWSF). In my free time, you’ll find me watching AI lectures from MIT, reading philosophy books, playing tennis, or winning hackathons! Previously, I’ve worked at Triage Technologies as an AI Software Development Engineer and at UCLA’s Biomedical AI Research Lab (BAIR) as a scientific researcher. I have also presented my work and projects at the TKS Global Summit, to numerous researchers at Google and AI startups, along with various podcasts. Finally, I have also done consulting challenges with Google, Microsoft, and Interac Corp. Currently, I’m working on improving the results of a research paper published by Stanford Medical School that has developed a risk-stratification system for thyroi

Experience

Education