Summary
Daniel Kats is a CTO and machine learning researcher with 13 years of experience building ML-driven products that intersect security, HCI, and PropTech. He led and invented BotSight at NortonLifeLock, authored multiple patents and peer-reviewed publications, and now runs the engineering stack at an ML/PropTech startup, Reffie. His background spans productionizing detectors for disinformation, threat discovery, and privacy leaks—combining research rigor with C-suite-facing technical communication. A University of Toronto M.Sc. and B.Sc. alumnus, he has practical experience across startups and large vendors (Yelp, IBM, Symantec/Norton) and a track record of shipping impactful research into product. Outside of work he balances hands-on tinkering—documented on his blog and GitHub—with rock climbing, judo, and elaborate coffee setups, reflecting a hands-on maker ethos that informs his leadership.
13 years of coding experience
11 years of employment as a software developer
Bachelor of Science (B.Sc.), Computer Science, High Distinction, Bachelor of Science (B.Sc.), Computer Science, High Distinction at University of Toronto
Ontario Scholar, Ontario Scholar at Northview Heights Secondary School