Tanzima Islam is an Associate Professor of Computer Science with 12 years of experience applying AI/ML to accelerate HPC system software and scientific codes, enabling large-scale simulations across domains like bioinformatics, earthquake engineering, and materials science. She holds a Ph.D. from Purdue and a postdoctoral fellowship at Lawrence Livermore National Laboratory, and her research has repeatedly translated into practical tools for checkpointing, fault tolerance, and performance modeling. A frequent visitor at national labs (LLNL, ORNL, BNL, LBNL), she has developed generative-AI methods to fingerprint applications from time-series logs to improve job scheduling for power and turnaround time. Known for bridging rigorous academic research with deployable solutions, she often focuses on system-level optimizations that let domain scientists leverage modern clusters more effectively.
12 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Engineering, Doctor of Philosophy (Ph.D.), Computer Engineering at Purdue University
Bachelor of Science - BS, Computer Science and Engineering, Bachelor of Science - BS, Computer Science and Engineering at Bangladesh University of Engineering and Technology
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