Mickey Atwal is an associate professor at Cold Spring Harbor Laboratory where he undertakes machine learning research and builds tools to analyze vast datasets in cancer genomics and immunology. He was awarded the Winship Herr Award for Excellence in Teaching a record three times, developing courses at the interface of machine learning, molecular biology, and neuroscience. He has trained in theoretical physics from the University of Cambridge, Cornell University, and Princeton University.
Larry Rudolph is a researcher at the MIT Computer Science and Artificial Intelligence Laboratory. He received his PhD in Computer Science in 1981 from the Courant Institute at NYU. Larry was on the faculty at University of Toronto, Carnegie-Mellon University, and The Hebrew University, before joining MIT as a principal research scientist, in 1995. In 1978, he helped start the Ultracomputer, a high performance parallel computer architecture, many ideas of which can be found in current multi-core computer chips. Larry is currently a Vice President (Member of Labs) at Two Sigma Investments.
Matthew Dixon is a British Applied Mathematician, Assistant Professor of Applied Math at Illinois Tech. He has taught machine learning, computational finance, Bayesian econometrics and financial econometrics, and held visiting research appointments in CS/Math at Stanford University and UC Davis.
Matthew is the co-founder of the Thalesians, a quant educational company which is a member of Level39, Europe’s biggest financial technology Incubator. Prior to joining academia, he has held industry appointments as a quant at banks such as Lehman Brothers, the Bank for International Settlements and Barclays Capital. From 2010- 2015, He holds a MSc in Parallel and Scientific Computation (with distinction) from the University of Reading, and a PhD in Applied Math from Imperial College London.
Miquel Noguer is a financial markets practitioner with more than 20 years of experience in asset management, he is currently Head of Development at Global AI ( Big Data Artificial Intelligence in Finance company ) and Head on Innovation and Technology at IEF.
He worked for UBS AG (Switzerland) as Executive Director.for the last 10 years. He worked as a Chief Investment Office and CIO for Andbank from 2000 to 2006.
He is professor of Big Data in Finance at ESADE and Adjunct Professor at Columbia University teaching Asset Allocation, Big Data in Finance and Fintech. He received an MBA and a Degree in business administration and economics in ESADE in 1993. In 2010 he earned a PhD in quantitative finance with a Summa Cum Laude distinction (UNED – Madrid Spain).
Gordon Ritter completed his Ph.D. in mathematical physics at Harvard University in 2007, where he published in top international journals. Prior to that he earned his Bachelor's degree from the University of Chicago. Gordon is currently a senior portfolio manager at GSA. Prior to joining GSA, Gordon was a Vice President of Highbridge Capital Management and a core member of the firm's statistical arbitrage group. Concurrently with his positions in industry, Gordon teaches at three of the nation's leading MFE programs, including Baruch College and NYU. He has published articles, and is a speaker at the top industry conferences.
Petter Kolm is a Clinical Professor and the Director of the Mathematics in Finance Master’s Program at Courant Institute of Mathematical Sciences, NYU. Previously, Petter worked in the Quantitative Strategies Group at Goldman Sachs Asset Management. Petter has coauthored numerous academic articles and four books. He holds a Ph.D. in Mathematics from Yale, an M.Phil. in Applied Mathematics from the Royal Institute of Technology, and an M.S. in Mathematics from ETH Zurich. Petter is also on various Board of Directors, editorial and advisory boards.