Professor Maura Grossman’s expertise in legal search sought to assist in privilege review of documents in US v. Cohen case


Professor Tamer Özsu of the Data Systems Group, along with Professor Ed Lank of the Human-Computer Interation Group, have been named 2018 David R. Cheriton Faculty Fellows, positions they will hold until 2021. These prestigious three-year fellowships support the work of leading faculty members in the School of Computer Science and are made possible through the David R. Cheriton Endowment for Excellence in Computer Science.


Amol Deshpande, Department of Computer Science
University of Maryland
Rumi Chunara, Computer Science and in Global Public Health
New York University
Aditya Parameswaran, Department of Computer Science
University of Illinois-Urbana Champaign
Heng Ji, Rensselaer Polytechnic Institute
Kareem El Gebaly, PhD candidate
David R. Cheriton School of Computer Science
The process of analyzing relational data typically involves tasks facilitating gaining familiarity or insights and coming up with findings or conclusions based on the data. This process is usually practiced by data experts (data scientists) that share their output with potentially less data expert audience (everyone).
Amira Ghenai, PhD candidate
David R. Cheriton School of Computer Science
People regularly use web search engines to investigate the efficacy of medical treatments. Search results can contain documents that present incorrect information that contradicts current established medical understanding on whether a treatment is helpful or not for a health issue. If people are influenced by the incorrect information found in search results, they can make harmful decisions about the appropriate treatment.