Summary
Stanley Wu is a PhD student in Computer Science at the University of Chicago specializing in trustworthy machine learning, bringing a decade of hands-on experience across data science and software engineering roles. He has applied privacy and ML research in academic settings and industry, including work on differential privacy, membership inference, and building PyTorch/AWS pipelines for phishing detection at Proofpoint. Prior roles at Klaviyo, MORSE Corp, and multiple internships demonstrate his ability to move models from research to production and to evaluate diverse approaches from pretrained nets to object detection. A strong academic performer (BS CS, 3.96 GPA from Northeastern), he blends rigorous research instincts with practical engineering—an asset when translating ML privacy insights into deployable systems.
10 years of coding experience
4 years of employment as a software developer
Lexington High School
Bachelor of Science - BS, Computer Science, 3.96/4.00, Bachelor of Science - BS, Computer Science, 3.96/4.00 at Northeastern University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Chicago