Tanu Malik is an Associate Professor in the School of Computing and directs the Data Systems and Optimization Lab. Her research interests span topics in database systems, data provenance, distributed systems, and cyber-infrastructure for scientific data management. Her group is currently developing methods and systems for improving conduct of reproducible science in computational and data science disciplines. Tanu received the 2019 NSF CAREER award for her work on computational reproducibility. She is also chosen as a 2019 Fellow for Better Scientific Software.
Tanu has actively collaborated with scientists across several institutions. Her research is funded by the National Science Foundation, the Department of Energy, the Sloan Foundation, and the Bloomberg Foundation. She can be reached at tanu at cdm dot depaul dot edu.
PhD (Computer Science), 2008
Johns Hopkins University
MS (Computer Science), 2003
Johns Hopkins University
B.Tech, 1999
Indian Institute of Technology, Kanpur
Sciunit: a system for easily containerizing, sharing, and tracking scientific applications