Jonathan Lacotte is Portfolio Advisor for the Blockchain Predictive Systematic Strategies.
Jonathan is currently a Ph.D student at Stanford University.
He is interested in developing mathematical frameworks and efficient algorithms for safe decision-making under uncertainty, with a primary focus on robotics. His work lies at the intersection of optimization, statistics and reinforcement learning.
Jonathan holds an MSc in Applied Mathematics from Cambridge University and a BSc from Ecole Polytechnique, Paris.