Alex Papanicolaou completed his Ph.D. from the Institute for Computational and Mathematical Engineering at Stanford University in 2013 and obtained a B.Sc. in Applied Mathematics and B.A. in Economics from UCLA in 2007. At Stanford, Alex developed statistical testing methods for volatility models under Kay Giesecke, Professor in Management Science and Engineering. From 2013 to 2016, Alex was a Senior Data Scientist at Integral Development Corporation working on applied statistical and machine learning problems for electronic trading and market microstructure in OTC FX. His current research interests include OTC FX market microstructure, pattern recognition for electronic markets, and computational and statistical methods for diffusion processes.