Mark Zhao is an Assistant Professor of Computer Science at the University of Colorado Boulder and founder of the Boulder AI and Systems Infrastructure Lab (BASIL), focusing on systems that make large-scale machine learning pipelines practical and reliable. With a decade of experience spanning Stanford PhD research, industry collaborations at Meta and Intel, and prior work in hardware security at Cornell, he blends deep systems and hardware expertise to optimize ML training and deployment. His research background includes building data and inference infrastructure—work that has informed both academic contributions and applied projects with industry partners. Based in Boulder, he is known for translating rigorous research into deployable systems and for exploring less obvious crossovers between hardware-level optimizations and cloud-scale ML workflows.
10 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree, Electrical and Computer Engineering, Bachelor’s Degree, Electrical and Computer Engineering at Cornell University
Doctor of Philosophy - PhD, Electrical Engineering, Doctor of Philosophy - PhD, Electrical Engineering at Stanford University
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