Tanu Malik

Assistant Professor // Databases, High Performance and Scientific Computing, Operating Systems
School of Computing
Tanu Malik


Advising Hours for the week of
9/3/2017 - 9/9/2017
W 10:00AM - 1:00PM at CDM 836
9/10/2017 - 9/16/2017
W 10:00AM - 1:00PM at CDM 836
9/17/2017 - 9/23/2017
W 10:00AM - 1:00PM at CDM 836
9/24/2017 - 9/30/2017
W 10:00AM - 1:00PM at CDM 836
10/1/2017 - 10/7/2017
W 12:00PM - 3:00PM at CDM 836
10/8/2017 - 10/14/2017
W 12:00PM - 3:00PM at CDM 836
10/15/2017 - 10/21/2017
W 12:00PM - 3:00PM at CDM 836
10/22/2017 - 10/28/2017
W 12:00PM - 3:00PM at CDM 836
10/29/2017 - 11/4/2017
W 12:00PM - 3:00PM at CDM 836
11/5/2017 - 11/11/2017
W 12:00PM - 3:00PM at CDM 836
(No advising hours available this week)


Office Hours for the week of
9/3/2017 - 9/9/2017
W 4:45PM - 6:15PM at CDM 836
9/10/2017 - 9/16/2017
Tu 4:30PM - 5:15PM at CDM 836
W 4:45PM - 6:15PM at CDM 836
9/17/2017 - 9/23/2017
Tu 4:30PM - 5:15PM at CDM 836
W 4:45PM - 6:15PM at CDM 836
9/24/2017 - 9/30/2017
Tu 4:30PM - 5:15PM at CDM 836
W 4:45PM - 6:15PM at CDM 836
10/1/2017 - 10/7/2017
M 9:00PM - 9:45PM at CDM 836
W 10:00AM - 10:45AM at CDM 836
W 5:00PM - 5:45PM at CDM 836
10/8/2017 - 10/14/2017
M 9:00PM - 9:45PM at CDM 836
W 10:00AM - 10:45AM at CDM 836
W 5:00PM - 5:45PM at CDM 836
10/15/2017 - 10/21/2017
M 9:00PM - 9:45PM at CDM 836
W 10:00AM - 10:45AM at CDM 836
W 5:00PM - 5:45PM at CDM 836
10/22/2017 - 10/28/2017
M 9:00PM - 9:45PM at CDM 836
W 10:00AM - 10:45AM at CDM 836
W 5:00PM - 5:45PM at CDM 836
10/29/2017 - 11/4/2017
M 9:00PM - 9:45PM at CDM 836
W 10:00AM - 10:45AM at CDM 836
W 5:00PM - 5:45PM at CDM 836
11/5/2017 - 11/11/2017
M 9:00PM - 9:45PM at CDM 836
W 10:00AM - 10:45AM at CDM 836
W 5:00PM - 5:45PM at CDM 836
11/12/2017 - 11/18/2017
M 9:00PM - 9:45PM at CDM 836
W 10:00AM - 10:45AM at CDM 836
W 5:00PM - 5:45PM at CDM 836
11/19/2017 - 11/25/2017
M 9:00PM - 9:45PM at CDM 836

Bio and Research Information

Tanu Malik is an Assistant Professor at the College of Computing and Digital Media and the co-Director of the Data Systems and Optimization Lab at DePaul. Her research is in broad area of scientific data management, and currently spans topics such as efficient databases for scientific research, data provenance management, and data virtualization techniques for reproducible science. Tanu has actively collaborated with astronomers, geoscientists, and urban scientists across several institutions. Her research is funded by the National Science Foundation, the Department of Energy, and the Sloan Foundation. She has a doctorate from the Johns Hopkins University, and a bachelors from the Indian Institute of Technology, Kanpur.

Research Area

Databases, High Performance and Scientific Computing, Operating Systems

Specific Research Area

Big data systems for sciences, data provenance and reproducibility

Professional Associations

IEEE, ACM, SIGMOD

Schedule for Winter 2017-2018

Courses Taught at DePaul

Course Evaluations