Scholar
Tanu Malik
Google Scholar ID: ZvYwdsUAAAAJ
Associate Professor, University of Missouri, Columbia
Data Management Systems
Data Provenance
HPC systems
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
620
H-index
13
i10-index
18
Publications
20
Co-authors
40
list available
Contact
Email
tanu@missouri.edu
Twitter
Open ↗
Publications
5 items
Efficiently Reproducing Distributed Workflows in Notebook-based Systems
2026
Cited
0
Efficient Multi-Model Orchestration for Self-Hosted Large Language Models
2025
Cited
0
AI-Generated Code Is Not Reproducible (Yet): An Empirical Study of Dependency Gaps in LLM-Based Coding Agents
2025
Cited
0
Similarity-Based Assessment of Computational Reproducibility in Jupyter Notebooks
2025
Cited
0
Report on Challenges of Practical Reproducibility for Systems and HPC Computer Science
2025
Cited
0
Resume (English only)
Background
Associate Professor in the Department of Electrical Engineering and Computer Science at the University of Missouri
Research focuses on big data management, accountable and reproducible distributed and parallel systems, and trustworthy AI
Leads the RADIANT Lab at Mizzou, supported by funding from NSF, NASA, DoE, and the Bloomberg Foundation
Pioneered innovative solutions in reproducible and accountable systems for trustworthy AI, benefiting scientists across multiple domains
Active member of ACM and IEEE
Co-authors
40 total
Ian T. Foster
University of Chicago and Argonne National Laboratory
Co-author 2
Randal Burns
Professor of Computer Science, Johns Hopkins University
Ashish Gehani
SRI
Tamás Budavári
Dept. of Applied Mathematics and Statistics, Johns Hopkins University
Co-author 6
Co-author 7
Co-author 8
×
Welcome back
Sign in to Agora
Welcome back! Please sign in to continue.
Email address
Password
Forgot password?
Continue
Do not have an account?
Sign up