Curriculum Vitae
CV
PhD in Computer Science, Columbia University. Research on reliable and secure AI systems. See also Google Scholar.
Education
2025
Ph.D., Computer Science — Columbia University
Machine-learning systems. Co-advised by Asaf Cidon and Junfeng Yang.
New York
2019
B.S., Computer Science & Applied Mathematics — UW–Madison
Advised by Shivaram Venkataraman.
Madison
Experience
2024
Research Scientist
AI security in production.
Barracuda Networks
2022-2023
Research Scientist
ML model management system with Deepak Narayanan and Amar Phanishayee.
Microsoft Research (Systems Group)
2020
Research Intern
DNN serving system, with Jonathan Mace.
Max Planck Institute for Software Systems
2018
Research Intern
DNN for defect detection.
Citrine Informatics
Honors
2026
Given to a Computer Science PhD who combines excellence in research results with continued outstanding efforts to promote research collaboration.
Columbia CS
2023
Recognized among the field's emerging researchers at the intersection of machine learning and systems.
MLCommons
2020
For Clockwork — a distributed DNN serving system with predictable end-to-end performance.
USENIX
Skills
Languages & tools: C++, Python, CUDA, Linux.
Publications
All →
Nature
2026
IMC
2025
ACL
2025
NAACL
2025
ICLR
2025
Patent
2025
ASPLOS
2025
ICML
2024
Patent
2023
MLSys
2022
OSDI
2020
ISBI
2020
AISys @ SOSP
2019