2021

Olaf Hartig is an Associate Professor in Computer Science at Linköping University, Sweden. He is interested in problems related to the management of databases and knowledge. His focus in this broad context is on data on the Web (Semantic Web and Linked Data, in particular) and on graph data, as well as on problems in…

Sergio E. Baranzini is Distinguished Professor of Neurology at the University of California San Francisco (UCSF). He earned his Ph.D. in human molecular genetics (1997) from the University of Buenos Aires, Argentina. His lab at UCSF uses a multi-disciplinary approach to science and it is composed by experimental and computational researchers. Dr. Baranzini leads the…

Ryan Wisnesky obtained B.S. and M.S. degrees in mathematics and computer science from Stanford University and a Ph.D. in computer science from Harvard University, where he studied the design and implementation of provably correct software systems. Previously, he was a postdoctoral associate in the MIT department of mathematics, where he developed the CQL query language…

Xian Li is a Senior Applied Scientist at Amazon leading the science effort of building retail knowledge graphs. Before joining Amazon, she was a machine learning scientist at LinkedIn, where she was a major contributor to build LinkedIn’s knowledge base of business entities and filed 6 patents in three years. Her research interests include truth…

Peter is an ontologist in the Semantic Arts team. He has a diverse background with experience in medical research, government, and in standards development. He was a contributor to the W3C “Data on the Web Best Practices” recommendation and an editor of the W3C “Data Catalog” vocabulary recommendation. A former interoperability specialist with the UK…

Peter Hicks is a software engineer focused in graph visualizations. 2021 Talk: Visualizing Data Lineage Extracting metadata from data pipelines and building useful graphs for real production environments.

Mike Cafarella is a Principal Research Scientist at MIT CSAIL. His research interests include databases, information extraction, data integration, and knowledge graphs. He has published extensively in venues such as SIGMOD, VLDB, and elsewhere. In addition to his academic work, he co-started (with Doug Cutting) the widely-used Hadoop open-source project. He also co-founded (with Chris…

Matt Gee is an entrepreneur, data scientist, and researcher. He’s the co-founder and CEO of BrightHive, a public benefit corporation building data collaboratives, data trusts, and data cooperatives for networks of individuals and organizations to govern their combined data. He is also a Data and Society Fellow at the University of Chicago’s Knowledge Lab. He…