Jignesh leads DataChat and is also a Professor in Computer Sciences at the U. of Wisconsin. His papers have been selected as the best papers in top database conferences, including SIGMOD and VLDB. He is a serial entrepreneur, and his past companies have been acquired by Teradata (1997), Twitter (2013) and Pivotal (2015). He is Fellow of the ACM and the IEEE, and an experienced board member having worked on both public and private company boards.
Rogers has an M.S. in Machine Learning from Columbia and is finishing his Ph.D. at Wisconsin. He is the holder of the prestigious Klug fellowship in Databases at Wisconsin. Rogers also has rich industry experience and has worked for Bank of America Merrill Lynch (Credit Risk Division), Netapp, and Citrix in the past. DataChat is based on Rogers’ Ph.D. thesis.
Robert has an M.S. in Computer Science from UW Madison and diverse experience in Healthcare Interoperability and Biochemical Engineering. He has worked on large international software implementations at Epic Systems, and has also built products from the ground up with small teams at startups. At DataChat he works on the full stack with a focus on the product as a whole.
Dylan is a software engineer at DataChat with a focus on SQL integration and natural language processing. He graduated with a B.S. in Applied Mathematics and Computer Science from UW Stout in 2016, and is currently working on a Ph.D. in CS at UW Madison. In his past life, he was a DBA for a big retailer.
Jiatong leads the statistical analysis components of the platform. She has an M.S. degree in Data Science from the Statistics department of UW-Madison. Her work also expands to backend product development, data mining and data wrangling methods.
Ushmal leads Machine Learning at DataChat. He has an M.S. in Computer Sciences from UW Madison, and also has 8 years of industry experience working at Hindustan Aeronautics, where he was pushing the boundaries of data analytics in the early days of data science.
Nate leads the technical communications effort at DataChat. He graduated from UW-Madison in 2017 with degrees in Journalism and International Studies, and the Professional Capstone Certificate in CS.
Ash is a full-stack developer, and is currently taking a year off from college. He plans to return back to complete a B.S. in Computer Sciences with a minor in Business.
Junda is an intern at DataChat and a PhD student at UW-Madison. He focuses on structured and unstructured data management components. He has a B.S. in Computer Science from UW-Madison (with Honors).
Sihan is an intern at DataChat and a senior at UW-madison. He is also the holder of the prestigious DeWitt undergraduate scholarship in the CS department. He works on algorithms across the entire stack including frontend and backend.
Jack is an intern at DataChat. He is a Junior at UW-Madison, studying Computer Science, with minors in Game Design and Art.
Chris is an associate professor in Computer Science at Stanford University. Research from his group has been incorporated into humanitarian efforts, such as the fight against human trafficking. He has also co-founded four companies: SambaNova and Snorkel, along with two companies that are now part of Apple, Lattice in 2017 and Inductiv in 2020. He has won several awards including the MacArthur Foundation Fellowship in 2015, and best paper awards in both database and machine learning conferences.
David has pioneered many of the parallel database technologies that power today’s parallel, distributed and cloud database platforms, while he was a professor at Wisconsin, where he also held the John P. Morgridge Chair. He was also a Technical Fellow at Microsoft, and is currently at MIT. He is a member of the National Academy of Engineering and Fellow of the ACM, and has won several awards including the ACM SIGMOD Edgar F. Codd Innovations Award, the AM ACM Software System Award, and the IEEE Emanuel R. Piore Award, all for his seminal contributions to the field of database systems.
Sam is a professor at MIT where he co-directs the Data Systems for AI Lab (DSAIL), an industry-backed initiative to unite researchers at MIT and leaders from industry to investigate the issues related to systems and algorithms for data that is high rate, massive, or very complex. He is the recipient of numerous awards including a Sloan Foundation Fellowship, best paper and test-of-time awards in premier database conferences including VLDB and SIGMOD.
Paris is an assistant professor in Computer Sciences at the University of Wisconsin-Madison. His research lies in the intersection of data management theory and practice with a focus on data processing for massively parallel systems, data markets, and uncertain data. He has won the SIGMOD Jim Gray Dissertation Award for his work on the foundations of parallel data processing.
Aws is an assistant professor of Computer Science at the University of Wisconsin–Madison. He studies automated synthesis and verification of programs, recently with a focus on data analytics. He received his PhD from the University of Toronto. He has received a number of best-paper awards for his work, an NSF CAREER award, a Google Faculty Research Award, and multiple Facebook Research Awards.