SoKat Consulting, LLC was founded by Susan An and Jim Liew in 2014. SoKat creates world-class Machine Learning / AI and Blockchain products and services primarily servicing government agencies, institutional investors, academic institutions, and select-startups.
Susan An, Esq. — Chief Executive Officer and co-Founder
Susan was the Chief Compliance Officer of Calypso Capital Management, LLC where she served as in-house counsel to the $1 billion long-short equity hedge fund, providing legal guidance to the investment manager, senior management, and employees on Federal securities regulation. She was successful in registering Calypso as an investment adviser with the SEC. She graduated with a JD at University of Maryland Francis King Carey School of Law where she served as President of the Asian American Law Students Association.
Dr. Jim Kyung-Soo Liew — Chief Operating Officer and co-Founder
Jim is an Associate Professor of Finance at Johns Hopkins Carey Business School and revels in pushing the boundaries of financial knowledge both as an academic and FinTech Entrepreneur. He has published pioneering research in the intersection of social media big data and financial markets. He currently teaches Blockchain, Big Data Machine Learning AI, and Leading Entrepreneurship Innovation. Additionally, he serves as the Chairman of the Johns Hopkins Innovation Factory and has received the Dean’s Award for Faculty Excellence in 2015-2018. He also serves on the Editorial Board of Journal of Portfolio Management. Previously, Jim has worked at the Carlyle Asset Management Group, Campbell and Company, and Morgan Stanley. He holds a BA in Mathematics from the University of Chicago and a Ph.D. in Finance from Columbia University. He currently lives just outside of Baltimore with his wife and two daughters, who he plans to raise as the next generation disruptors.
Dr. Alexander Szalay — Senior Scientific Advisor Chief Big Data Scientist
Dr. Alexander Szalay is a Bloomberg Distinguished Professor, the Alumni Centennial Professor of Astronomy, and Professor in the Department of Computer Science. He is the Director of the Institute for Data Intensive Science. He is a cosmologist, working on the statistical measures of the spatial distribution of galaxies and galaxy formation. He is a Corresponding Member of the Hungarian Academy of Sciences, and a Fellow of the American Academy of Arts and Sciences. In 2004 he received an Alexander Von Humboldt Award in Physical Sciences, in 2007 the Microsoft Jim Gray Award. In 2008 he became Doctor Honoris Causa of the Eotvos University, Budapest. He has written over 450 papers in various scientific journals, covering areas from theoretical cosmology to observational astronomy, spatial statistics and computer science.
Dr. Tamás Budavári — Scientific Advisor Chief Machine Learning Scientist
Dr. Tamas Budavari is Assistant Professor of Applied Mathematics & Statistics at The Johns Hopkins University, where he focuses on computational and mathematical aspects of Big Data analytics with applications in astronomy, materials research, urban planning and finance. He is a builder of the Sloan Digital Sky Survey and its data science solution as well as the Hubble Source Catalog: the ultimate legacy of NASA's Hubble Space Telescope. In addition to research, he currently teaches "Data Mining" in JHU's Whiting School of Engineering. Budavari is the Data Science PI in the Center for Materials in Extreme Dynamic Environments, affiliated with the Institute for Data Intensive Engineering & Science (IDIES), and is Steering Committee Member of the 21st Century Cities signature initiative (21CC) at Hopkins. He is founding Editor of the Journal Astronomy & Computing.
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