Welcome to my website! I am the Bernard T. Ferrari Professor at the Johns Hopkins University’s Carey Business School. My research spans healthcare analytics, human-AI interaction, global supply chains, and marketing-operations interfaces. As a founding member of the Leadership Team of the Hopkins Business of Health Initiative (HBHI), co-lead of the Bloomberg Distinguished Professorship Cluster on Global Advances in Medical Artificial Intelligence, and co-chair of the Johns Hopkins Workgroup on AI and Healthcare, my work focuses on incorporating artificial intelligence into clinical workflows and improving productivity, access, and equity in healthcare delivery.
At Johns Hopkins, I have developed and taught a first-of-its-kind MBA course, Data Science: Artificial Intelligence, which has been required for all full-time Hopkins MBA students since 2021. Poets & Quants named me one of the world’s best 40 business school professors under 40.
My recent writing and media appearances have focused on artificial intelligence, particularly its impact on health and society, as well as global supply chain issues such as vaccine rollouts, testing, and PPE arising from the COVID-19 pandemic. Additionally, I have addressed topics related to the geopolitical issues and the ESG movement. I have appeared on national and international TV such as BBC News, CNBC, PBS NewsHour, Sky News, and ZDF, and have been featured in ABC News, The Associated Press, Baltimore Banner, Baltimore Sun, Barron’s, Bloomberg, Business Insider, CBC, CBS News, Chicago Tribune, CNN, The Conversation, Fast Company, Financial Times, Forbes, Fortune, Globe and Mail, The Guardian, Harvard Business Review, The Hill, KHN, Les Echos, Marketplace, MarketWatch, MedPage Today, Modern Healthcare, NBC News, New York Times, Newsweek, Nikkei, NPR, Poets & Quants, Quartz, Slate, STAT, U.S. News & World Report, USA Today, Wall Street Journal, Washington Post, and Wired, among others.
My work has appeared in a variety of prestigious journals, including Management Science, Manufacturing & Service Operations Management, Marketing Science, Operations Research, NEJM AI, and npj Digital Medicine. I serve as an Associate Editor for Management Science, Manufacturing & Service Operations Management, npj Digital Medicine, Service Science, Naval Research Logistics, and Health Care Management Science, and as a Senior Editor for Production and Operations Management. I co-edited the Handbook of Healthcare Analytics: Theoretical Minimum for Conducting 21st Century Research on Healthcare Operations, which was published by John Wiley & Sons in 2018.
At Johns Hopkins, I teach two required core MBA courses — Operations Management and Artificial Intelligence — and have taught an elective course on Contracting: Incentive Design and Analytics. Since 2016, I have been organizing the Johns Hopkins Symposium on Healthcare Operations, an effort to bring together leading clinicians, health scholars, and policymakers.
I serve as Vice President of Marketing Communication and Outreach for INFORMS, the world’s largest association for the decision and data sciences. I am also an Associate Editor of Management Science, Manufacturing & Service Operations Management, Service Science, Health Care Management Science, and Naval Research Logistics, and a Senior Editor of Production and Operations Management and INFORMS Journal on Data Science. At Johns Hopkins, I serve on the Executive Committee of the Johns Hopkins Institute for Data Intensive Engineering and Science (IDIES) and hold joint faculty appointments at the Johns Hopkins School of Nursing and the Center for Digital Health and Artificial Intelligence (CDHAI).
Prior to joining Johns Hopkins in 2013, I earned a PhD (2013) and an MSIA (2009) in Operations Management and Robotics from Carnegie Mellon University’s Tepper School of Business and Robotics Institute. I also received an MPhil from the Department of Industrial Engineering and Decision Analytics at the Hong Kong University of Science & Technology (2006) and a BEng in Automation from Tongji University (2004).