Abhimanyu Nag

I have been a MITACS Fellow working with Dr. Michael Kouritzin at the Department of Mathematical and Statistical Sciences, University of Alberta to develop innovative technology for Muchlearning where I served concurrently as Engineering Manager since February 2026. I was also an advising Quantitative Research Scientist at Catalysis Labs to develop pricing algorithms for DeFi insurance.

Previously, I used to work in the industry in Financial Risk Management, particularly in Decentralized Finance (DeFi). I started my career at Nethermind as a Data Scientist and most recently I served as Chief Scientist at Chainrisk Labs (Antler-backed), where I led research and advised our clients on DeFi risk parameters, formal verification of DeFi protocols and economic attack prevention. Before coming back to UAlberta, I also had a brief stint at Pantera Capital's hedge fund TanX as Lead Risk Simulations where I was leading the development of quantitative risk models for trading decisions.

My industry research has focused on risk modelling, algorithmic game theory, and economic security in decentralized systems. My current work is in modelling Sybil attacks in competitive markets (see recent paper) and analyzing security properties of decentralized protocols, with a particular interest in consensus engineering and secure market design in blockchain transaction fee mechanisms, governance systems, and multi-agent coordination problems in AI.

See my Google Scholar for my research publications and my blog for some of my more informal perspectives related to my work.