Summary
Sazan Mahbub is a Ph.D. student and graduate research assistant at CMU’s SAILING Lab, where he develops generative AI and foundation-model methods to accelerate scientific discovery, with a focus on biomedical and healthcare applications. He holds an MS in Computer Science from the University of Maryland and a BSc in CSE from BUET, and has been working on AI-driven research problems since 2018. His work spans computational imaging, computer vision, and AI4Science, yielding first-authored publications in venues such as RECOMB and Bioinformatics. Sazan has collaborated with academic and industry leaders across CMU, MBZUAI, Intel AI, and UW–Madison, blending deep research rigor with cross-institutional partnerships. He brings roughly a decade of research experience, including teaching and lab leadership, and a practical bent toward building foundation models that translate into domain-specific scientific tools. Notably, his trajectory combines strong experimental sensing background with recent focus on generative models for life-science discovery.
10 years of coding experience
4 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Maryland
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Carnegie Mellon University School of Computer Science
Bachelor of Science - BS Computer Science and Engineering, Bachelor of Science - BS Computer Science and Engineering at Bangladesh University of Engineering and Technology