Summary
Sazan Mahbub is a PhD candidate at Carnegie Mellon University's SAILING Lab, advised by Prof. Eric P. Xing, focused on building large-scale generative AI systems to accelerate biomedical and healthcare research. As a Graduate Research Assistant in CMU's School of Computer Science, he works at the intersection of GenAI, foundation models, and AI-for-science applications. His track record spans graduate research and teaching roles at the University of Maryland and research assistantships at BUET, including exposure to computational imaging and computer vision. With nine years of experience, he is expanding his practice as an AI Research Scientist Intern at GenBio AI. His publications (Google Scholar) attest to ongoing contributions toward translating foundational AI advances into practical biomedical knowledge discovery. Based in Pittsburgh, he brings academic rigor and industry-facing experience to drive AI-enabled discovery across biomedical domains.
9 years of coding experience
3 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