Mark Zhao

Research Assistant at Stanford University

Mountain View, California, United States
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Summary

👤
Senior
🎓
Top School
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.
code10 years of coding experience
job5 years of employment as a software developer
bookBachelor’s Degree, Electrical and Computer Engineering, Bachelor’s Degree, Electrical and Computer Engineering at Cornell University
bookDoctor of Philosophy - PhD, Electrical Engineering, Doctor of Philosophy - PhD, Electrical Engineering at Stanford University
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Github Skills (15)

use-case6
imperative5
preprocessing5
api4
pytorch4
transformation4
python4
sql-like3
machine-learning3
dataframe3
pandas3
pythonic3
data-science2
sql2
data-preprocessing2

Programming languages (1)

Python

Github contributions (5)

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myzha0/personal-website

Oct 2022 - Feb 2025

Repository for my personal website, forked from academicpages/academicpages.github.io
Contributions:22 pushes in 2 years 3 months
stanford-mast/ShEF

Nov 2021 - Nov 2021

Contributions:21 commits in 2 days
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