Ph.D. in Blockchain Security
New York, NY, USA
Ph.D. at Syracuse University (GPA 3.93), specializing in blockchain security, smart contract vulnerability detection, and ML-based anomaly detection. Research covers Ethereum security, ZKP systems, and LLM applications. ML Engineer Intern at Meta (2025). Published in WWW, IEEE ICBC, and IEEE EuroS&P.
Salary
USD 80,000
Meta
May 2025 — Aug 2025
Developed unsupervised LSTM models in PyTorch to detect hacked-disabled accounts (>70% precision, +10% incremental recall). Collaborated with cross-functional teams to build multi-source time-series datasets. Integrated model into production systems for downstream routing decision-making.
The Hong Kong Polytechnic University
May 2024 — Aug 2024
Conducted empirical study on LLM-based smart contract vulnerability detection. Developed automated pipeline and benchmark for Ethereum smart contract vulnerability detectors.
Syracuse University
Aug 2023 — Present
TA for Cryptography, Operating Systems, Advanced Computer Architecture, and Network Programming. Taught lectures, facilitated discussions, and supported students through consultations.
ZTE - Central R&D Institute
May 2023 — Aug 2023
Researched and evaluated modern ZKP systems (SNARK, STARK) for integration into ZTE's zero-trust product architecture. Engineered a ZKP proof-of-concept for selective identity disclosure.
Syracuse University
Aug 2020 — Present
Explored Ethereum mem-pool protocols and patched DoS vulnerabilities (acknowledged by Ethereum Foundation). Developed on-chain anomaly detection for compromised accounts and a whitehat bot to secure decentralized assets. Discovered critical data leakage and Denial of Wallet vulnerabilities in CI vendors.
PhD · Computer and Information Science and Engineering
2021 – 2026
MSc · Computer Science
2019 – 2020
BSc · Software Engineering
2015 – 2019