Presenter’s Bios
Sanjiv Das, Santa Clara University, Moderator
Sanjiv Das is the William and Janice Terry Professor of Finance at Santa Clara University’s Leavey School of Business.
He previously held faculty appointments as Associate Professor at Harvard Business School and UC Berkeley. He holds post-graduate degrees in Finance (M.Phil and Ph.D. from New York University), Computer Science (M.S. from UC Berkeley), an MBA from the Indian Institute of Management, Ahmedabad, B.Com in Accounting and Economics (University of Bombay, Sydenham College), and is also a qualified Cost and Works Accountant. He is a senior editor of The Journal of Investment Management, co-editor of The Journal of Derivatives, and Associate Editor of other academic journals.
Prior to being an academic, he worked in the derivatives business in the Asia-Pacific region as a Vice-President at Citibank. His current research interests include: the modeling of default risk, machine learning, social networks, derivatives pricing models, portfolio theory, and venture capital. He has published over eighty articles in academic journals, and has won numerous awards for research and teaching. His recent book “Derivatives: Principles and Practice” was published in May 2010. He currently also serves as a Senior Fellow at the FDIC Center for Financial Research.
Read Professor Das’ expanded bio here »
Markus Pelger, Stanford University
Markus Pelger is an Associate Professor of Management Science & Engineering at Stanford University and a Chambers Faculty Scholar in the School of Engineering. He is also a Research Associate at the National Bureau of Economic Research.
His research focuses on understanding and managing financial risk. He develops mathematical financial models and statistical methods, analyzes financial data and engineers computational techniques. His research is divided into three streams: machine learning solutions to big-data problems in empirical asset pricing, statistical theory for high-dimensional data and stochastic financial modeling.
Markus’ work has appeared in the Journal of Finance, Review of Financial Studies, Journal of Financial Economics, Management Science, Journal of Econometrics and Journal of Applied Probability. He is an Associate Editor of Management Science, Operations Research, the Journal of Econometrics, Digital Finance and Data Science in Science. His research has been recognized with several awards, including the Utah Winter Finance Conference Best Paper Award, the Best Paper in Asset Pricing Award at the SFS Cavalcade, the Dennis Aigner Award of the Journal of Econometrics, the Bates-White Prize for the Best Paper at the Society for Financial Econometrics Conference, and the Crowell Memorial Prize. He has been invited to speak at hundreds of world-renowned universities, conferences and investment and technology firms. He has been a consultant or advisor to investment institutions, governmental agencies and supranational organizations.
Markus received his Ph.D. in Economics from the University of California, Berkeley. He has two Diplomas in Mathematics and in Economics, both with highest distinction, from the University of Bonn in Germany. Markus is a founding organizer of the Advanced Financial Technology Laboratories and the AI & Big Data in Finance Research Forum. He is affiliated with the National Bureau of Economic Research, Stanford Institute for Computational and Mathematical Engineering, the Stanford Institute for Human-Centered Artificial Intelligence, Stanford Data Science and the Stanford Woods Institute for the Environment.
Bratin Saha, DigitalOcean, Keynote Speaker
As Chief Product and Technology Officer, Bratin Saha drives the product and platform strategy, development, and security with a focus on making DOCN the simplest, most productive, and most cost-effective platform for the developer community. Bratin brings more than 20 years of experience across a wide range of domains, including GenAI, machine learning, cloud computing, data analytics, media processing, and hardware design.
Prior to DigitalOcean, Bratin was Vice President and General Manager of Artificial Intelligence (AI), Machine Learning (ML) and Data Infrastructure. He led the creation of one of the fastest growing businesses in AWS history and helped to build the multi-billion-dollar annual recurring revenue (ARR) generative AI business. Prior to his time at Amazon, Bratin was Vice President of Software Infrastructure at Nvidia, and prior to that in various leadership roles at Intel. He has a proven track record of leveraging cutting-edge technologies to solve complex problems and drive innovation across various sectors.
Bratin is an alumnus of Harvard Business School’s General Management Program and received a Ph.D. in Computer Science from Yale University and a B.S. in Computer Science from the Indian Institute of Technology. He has more than 70 patents granted, more than 30 conference/journal papers, and Harvard Business School has written three case studies on his work.