A graduate of the State University of New York at Albany, Pradeep Albert, MD, obtained his bachelor of science, graduating magna cum laude, before attending SUNY at Syracuse Health Science Center, earning his doctor of medicine degree in 1997.

Dr. Albert completed his internship in internal medicine at Baylor College of Medicine in Houston, TX and his residency in radiology at St. Vincent's Hospital, New York, NY. He completed a fellowship in musculoskeletal radiology at the University of California at San Diego in 2003. In 2002, Dr. Albert was the recipient of the RSNA National Research Award.

Dr. Albert is board certified by the American Board of Radiology.

He maintains memberships in numerous professional societies, including:

• American Medical Association
• American College of Radiology
• Medical Society State of New York



Dr. Wang has been doing quantitative research and software development in the financial service industry for more than 10 years. He applied Machine Learning and other mathematical tools to identify investment opportunities and implement trading strategies. He is currently working at Bank of America Merrill Lynch (BAML).

Prior to BAML, Dr. Wang worked at Martin Fund Management (MFM) as Director of Research. He worked on portfolio management, quantitative research and risk management. He was responsible for expanding existing trading programs and developing new investment ideas.

Prior to MFM, Dr. Wang worked at Clinton Group, a multi-strategy hedge fund. At Clinton Group, he initiated a futures research and trading program. The portfolio he managed covered four different asset classes, including commodities, equity indices, fixed income, and currencies.

Prior to Clinton, Dr. Wang worked at Gresham Investment Management, a multi-billion dollar commodity focused asset management firm. At Gresham, he researched and implemented a broad range of commodity trading strategies. He was the head of research for one of the two Gresham trading groups and was responsible for developing strategies and risk management for that group.

Prior to Gresham, Dr. Wang did research in theoretical physics at the University of Michigan and Florida State University. He holds a PH.D. in Physics from the University of Michigan.



Xia Xiao is a 5th year Ph.D. candidate in the Department of Computer Science & Engineering at the University of Connecticut. He received his BSc degree in Electrical Engineering from Huazhong University of Science and Technology in 2011 and his MS degree in Computer Science from Institute of Micro-Electronics, University of Chinese Academy of Sciences in 2014.  His research interests are in machine learning and deep neural networks. Currently, researches focus on graph convolution, data-driven material discovery, model compression, and generative adversarial networks.