Jerry Chan is currently an index arbitrage portfolio manager at Millennium. Previously, he held portfolio management positions at Squarepoint Capital and Nomura. Chan began his career working at a number of investment banks including Bank of America Merrill Lynch, J.P. Morgan, and UBS. His career in the financial markets has centered around using technology and quantitative methods to find inefficiencies. He obtained his bachelor’s degree in computer science from the Johns Hopkins University in 1997.
Jason Corso is a professor of robotics, electrical engineering, and computer science at the University of Michigan. He is also the chief science officer and co-founder of Voxel51, a computer vision tech startup building a state-of-the-art platform for video- and image-based applications. A member of the DARPA Computer Science Study Group, Corso has been recognized for his research on high-level computer vision with a Link Foundation Fellowship, an NSF CAREER Award, an Army Research Office Young Investigator Award, and a Google Research Award. He received his PhD in computer science at the Johns Hopkins University in 2006.
Nick Culbertson is the managing director of Techstars AI Health Baltimore, powered by the Johns Hopkins University and CareFirst BlueCross BlueShield. Prior to joining Techstars, Culbertson co-founded, led, and sold Protenus, a Baltimore-based AI company that brought automation and risk reduction to health care compliance. He is a former medical student and earned his bachelor’s degree at the Johns Hopkins University; he also served eight years as a U.S. Army Special Operations “Green Beret,” specializing in human intelligence network development and analysis.
Susan B. Davidson is the Weiss Professor of Computer and Information Science at the University of Pennsylvania, where she has been since 1982. Her research interests include database and web-based systems, scientific data management, provenance, crowdsourcing, and data citation. Davidson received a bachelor’s in mathematics from Cornell University in 1978 and a master’s and PhD in electrical engineering and computer science from Princeton University in 1980 and 1982, respectively.
Melanie Dorn is an executive director at Morgan Stanley Wealth Management, where she is also a manager in field management technology, currently focused on financial advisor compensation, and a solutions architect for investment solutions technology. Prior to joining Morgan Stanley in 2015, Dorn held several leadership positions in technology at UBS and Prudential Securities, designing and implementing new systems that allowed financial advisors to expand business for their firms. She won the FinTech Futures Tech Leadership Award at the 20th Annual Banking Technology Awards and was named a Transformation Leader of the Year Finalist at the 2019 Women in IT Awards. Dorn earned a bachelor’s in computer science from the Johns Hopkins University.
David B. Enabnit was formerly the technical director of the Office of Coast Survey in the National Oceanic and Atmospheric Administration, where he handled technical and management responsibilities for computer-assisted cartographic system development and deployment; managed technical and business responsibilities for print-on-demand development and commercialization; and served as the head of the U.S. delegation to the international standards-setting body for marine navigation data and systems. He was also a lieutenant colonel in the U.S. Army Reserve with a duty station as staff to the director of army research. Enabnit is now retired and exploring other interests. He received his bachelor’s and master’s degrees in physics from the Ohio State University and his master’s degrees in computer science and business from the Johns Hopkins University.
Le Lu has led global medical AI research and development efforts for Alibaba Group’s DAMO Academy since 2021. Previously, he worked at PAII Inc., the National Institutes of Health Clinical Center, NVIDIA’s AI infrastructure division—where he also founded its medical image deep learning group in 2017—and Siemens Corporate Research. Lu is a fellow of the Institute of Electrical and Electronics Engineers (IEEE), cited for his contributions to machine learning methods for cancer detection and diagnosis; a board member of the Medical Image Computing and Computer Assisted Intervention Society; and a former IEEE Signal Processing Society Distinguished Industrial Speaker. He also serves as an associate editor for several IEEE journals, is the co-inventor of more than 150 international patents, received several NIH awards of high distinction, and has published over 300 peer-reviewed articles and leading conference papers, with many winning Best Paper Awards at leading clinical conferences. Lu received his PhD degree in computer science from the Johns Hopkins University in 2007.
Colin McCarthy is the co-founder of Nebula Research & Development, a quantitative hedge fund, where he applies statistical models to financial markets looking for novel investment opportunities. Prior to his current role, McCarthy was a trader at Cubist Systematic Strategies for nine years, where he built out a statistical arbitrage and volatility trading business. During his career in the financial markets, McCarhty has also managed capital at several other firms, including Fortress Investment Group, Swiss Re Financial Products, and Tesseract Capital Group. He also worked in the technology sector for Warp Solutions, a startup focused on building distributed networking infrastructure software. McCarthy received a bachelor’s in computer science in 1998 from the Johns Hopkins University and received a master’s in computer science from Stanford University in 2000.
Cristina Nita-Rotaru is a professor in the Khoury College of Computer Science at Northeastern University, where she co-directs its Network and Distributed Systems Security Lab and is a founding member of the its Cybersecurity and Privacy Institute. Prior to joining Northeastern in 2015, she was a faculty member at Purdue University, which she joined in 2003. Nita-Rotaru is the recipient of several awards for her work in dependable and secure network protocols in distributed systems. She is also a member of the International Federation for Information Processing’s Working Group on Dependable Computing and Fault Tolerance and on the steering committee of the ACM Symposium on Access Control Models and Technologies. She is additionally the vice-chair of the Institute of Electrical and Electronics Engineers Technical Community on Dependable Computing and Fault Tolerance and is the chair of the steering committee of the Internet Society’s Network and Distributed System Security Symposium. Nita-Rotaru earned a PhD from the Johns Hopkins University in 2003.
Cleve Pasarell, Engr ’04, is the vice president of engineering at 6sense, a business-to-business marketing and sales technology company based in San Francisco. At 6sense, he manages advertising technology, works with the Interactive Advertising Bureau, and helps coordinate engineering strategy, process, and security. Prior to joining 6sense, Pasarell founded and served as the chief technology officer of Granite Media, a marketing and advertising platform dedicated to generating new readership and revenue for publishers. Pasarell is also a founder and board member of Big Edition, a publishing company, and is a serial angel investor.
Joe Pistritto is an active consultant on data center and site reliability engineering (SRE) topics. He previously served as the SRE director and site lead at Google’s San Francisco office, where he managed teams running base infrastructure for services including networking, financial transactions, and setup/teardown of data center compute environments. Before that, he worked in global infrastructure capacity planning at Google, was the vice president of engineering at several Bay Area startups, and was the vice president of internet products at Oracle. Pistritto graduated from the Johns Hopkins University with both a BS and MS in electrical engineering.
Kumar Ramaiyer is the chief technical officer of Workday’s Planning Business Unit. Based in Cupertino, California, he has focused on planning and analytical problems for the last 20 years at Workday, Oracle, and a startup company later acquired by Oracle. His recent interests include using machine learning and data science to create intelligent plans for different domains and the use of conversational and generative artificial intelligence to improve the overall planning experience. Ramaiyer received his PhD in computer science from the Johns Hopkins University in 1996.
Gary Siegel is currently a senior services executive at World Wide Technology, where he works with clients to create and deliver technology solutions to “make a new world happen.” Prior to this, he held various senior leadership roles at Accenture, NTT Data, and FAST Technologies. A hands‐on leader, Siegel holds a patent and has won a number of Quality Innovation Awards. He holds a master’s degree in computer science and a bachelor’s in computer engineering from the Johns Hopkins University.
Sandeep Singhal is the vice president of engineering at LinkedIn, focusing on storage and databases, data movement and processing, and AI enablement. He was formerly senior director for AI systems at Meta, where he led shared training, model processing, inferencing, and serving infrastructure, as well as the company’s areas of storage infrastructure, powering product, analytics, and machine learning. Singhal has held leadership roles at Google (leading Cloud Storage), Microsoft (general manager for Bing Maps and Local Search, Internet Explorer, and Windows networking), and IBM (chief architect for its pervasive computing division). Singhal also co-founded ReefEdge Networks, a pioneer in wireless LAN security, mobility, and management products. He has served on advisory panels supporting the Defense Advanced Research Projects Agency, the National Research Council, and the European Commission. His credits include 78 issued patents and dozens of publications, including three books. Singhal holds MS and PhD degrees in computer science from Stanford University, as well as bachelor’s degrees in computer science, mathematical sciences, and mathematics from the Johns Hopkins University.