Michael Wang is a PhD student in MIT EECS with eight years of hands-on experience applying machine learning to program analysis and cybersecurity problems. He built malware analysis models and contributed to the initial PACT effort at MIT Lincoln Laboratory, and his background spans offensive security, full‑stack development, and applied research. Comfortable moving between research and engineering, he has shipped prototype defenses like client-side CSRF protection and production-oriented ML tooling for threat analysis. Based in Boston, he combines rigorous academic training with practical delivery in agile environments, and tends to favor solutions that bridge static program insights with ML-driven behavior modeling.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Massachusetts Institute of Technology
Computer Science with Math Minor, Computer Science with Math Minor at Northeastern University
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