Summary
Arvind Iyer is a computational biologist and data scientist with 11 years of experience applying machine learning and multi-omics analysis to cancer genomics and precision medicine. He earned a PhD in Quantitative Biology from the University of Lausanne, where his doctoral work focused on cancer evolutionary dependencies, and now conducts postdoctoral research at the Princess Margaret Cancer Research Centre (University Health Network) while collaborating as a guest researcher at the University of Toronto. Proficient in Python, R, and cloud-based bioinformatics workflows, he builds predictive models and optimizes high-throughput pipelines to accelerate drug discovery and biomarker identification. Comfortable bridging computational and experimental teams, he has a track record in both academic and industry settings and a habit of finishing PhD work independently for publication. Based in Toronto, he combines deep domain expertise with a fast-learning, nerdy curiosity that fuels rapid adoption of new AI tools in translational research.
11 years of coding experience
2 years of employment as a software developer
High School High School Certificate of Competence Program, High School High School Certificate of Competence Program at Sabari Vidhalaya
Doctor of Philosophy - PhD Computational Biology, Doctor of Philosophy - PhD Computational Biology at University of Lausanne - UNIL
Master of Technology (MTech) Computational Biology, Master of Technology (MTech) Computational Biology at Indraprastha Institute of Information Technology, Delhi
Bachelor of Engineering (BEng) Information Technology, Bachelor of Engineering (BEng) Information Technology at Birla Vishvakarma Mahavidyalaya
Gujarati, Hindi, Malayalam, Tamil, English