Tom Mellan | Protocol Labs Research

Tom Mellan

Research Scientist/ CryptoEconLab

Education

PhD Computational Chemistry, 2015
UCL

MSc Theoretical Physics, 2011
UCL

Tom is passionate about Bayesian statistics, interdisciplinary collaboration, and using math and computers to study humanity’s most interesting questions.

Tom’s academic background is in theoretical physics and computational chemistry. He applied insights from these fields to his work at Imperial College modeling infectious diseases, merging the policy-decision perspective with the fundamental questions of understanding stochastic processes with competitively-interacting dynamics.

Areas of Expertise

• Complexity and emergence
• Competition and cooperation dynamics
• Bayesian inference
• Quantification of uncertainty and decision theory
• MCMC methods
• Renewal/point/Gaussian processes
• ODEs
• Earth observation/deep learning
• Time-series nowcasting/forecasting