Alex Beath

Analyst, CEM Benchmarking

Having joined CEM in 2010, Alex Beath is responsible for modeling and programming support to the business teams. Prior to joining CEM, he was engaged in post doctoral research at the Center for Biological Physics at University of California at San Diego. His work included unsupervised machine learning, Monte Carlo simulation, minimum entropy models, belief propagation, multiple sequence alignments, maximum likelihood solutions of evolution rates, paramagnetic data clustering, non-linear regression, finite sample size data correction and exact, computational and heuristic mathematical modeling.