Tianyi Shan
PhD candidate in Computer Security and Systems at UC San Diego, advised by Kristen Vaccaro and Earlence Fernandes.
My research focuses on building secure and reliable systems, with current work on confidential computing for ML model auditing. I have experience in authentication security, access control diagnostics, and cloud infrastructure.
- Education
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University of California San Diego
PhD, Computer Science
2019 - present -
University of Wisconsin-Madison
BS, Computer Science
2019 - Experience
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Amazon Web Services
Applied Scientist Intern, Automated Reasoning Group
Summer 2023VMware
vSAN Performance Engineer Intern
Summer 2020 - Teaching
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Teaching Assistant, UC San Diego
Operating Systems (CSE 120, CSE 221), Computer Security (CSE 227), Human-Computer Interaction (CSE 170)
2020 - present - Skills
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Areas: Confidential Computing (AMD SEV-SNP), System Security, Cloud Infrastructure, Distributed Systems
Technologies: AWS, LLVM, Docker, CloudLab
Languages: Python, C/C++, Rust, Java