Naseer Hashim has been a globally-recognized innovator in healthcare for more than a decade. Naseer most recently founded and sold to KKR (with JP Morgan as banker) one of the largest radiology/ telemedicine companies in the US, Imaging Advantage, which was the early disrupter of the $100 billion imaging market. Following this, he launched a new company in 2018 (Singularity Healthcare) while serving as Senior Fellow and Lead Global Advisor for Artificial Intelligence, Innovation and New Sciences at the leading national security advisory firm, the Atlantic Council. In 2019, Naseer designed a graduate level Capstone program for the Heinz College at Carnegie Mellon University, which in 2019 US News ranked as #1 in the United States for Artificial Intelligence. Goldman Sachs (the lead investor in Imaging Advantage) named Naseer one of the "Most Intriguing Entrepreneurs in America" and the US Centers for Medicare and Medicaid (CMS) honored his company with a multi-million-dollar Innovation Award for developing software to manage utilization.
Prior to Imaging Advantage, Naseer helped develop the first BPO strategy in India for a US company - HealthScribe - which also disrupted US healthcare and grew to become one of the largest medical transcription companies in the world. A graduate of Cornell University, Naseer began his career as an attorney at the #1 ranked international law firm, Skadden, Arps, Slate, Meager & Flom.
Dr. Beibei Li currently holds the Anna Loomis McCandless Chair Professorship at Carnegie Mellon University. She is the winner of the Best Paper Award at the 20th International World Wide Web Conference, Best Theme Paper Award at the International Conference on Information Systems, a Google Faculty Research Award, an Adobe Faculty Research Award and a CAI Research Award from Wharton Customer Analytics Initiative. She is also the winner of the INFORMS ISS Nunamaker-Chen Dissertation Award, the ACM SIGMIS Best Doctoral Dissertation Award and the Herman E. Krooss Doctoral Dissertation Award. She received her PhD in Information Systems with distinction from Leonard N. Stern School of Business at New York University.
Beibei has extensive experience at leveraging large-scale observational data analytics and experimental analysis with a strong focus on modeling individual user behavior across online, offline and mobile channels for decision support. Her recent research has been published in Marketing Science, Management Science, ISR, MISQ and several top Data Science, Economics, Marketing and Computer Science conferences.
