Aaron Goodman

Aaron Goodman is a highly skilled computational ecologist with a recently completed PhD from Stanford University. His expertise includes Bayesian models, stochastic volatility, options, and portfolio construction, with a keen interest in pursuing opportunities in quantitative finance.

Aaron's educational background is extensive, with a Master's degree in Statistics and a B.S.E. in Computer and Information Science from Stanford University, along with studies at the University of Oxford and Lakeside Upper School. He also holds a Certificate in Innovation and Entrepreneurship from the Stanford University Graduate School of Business.

Throughout his career, Aaron has held various roles, including Quantitative Strategist at Virtu Financial, Lead Data Scientist at Custora, and Research Assistant at Saarland University. He has also interned at DNV Global Energy Concepts, Inc. and has experience in private wealth management and family office environments.

Aaron's research experience spans across different academic institutions, including Stanford University and the University of Pennsylvania, where he worked as a Research Specialist. His background showcases a strong blend of academic rigor and practical industry experience.