Summary
Shih-chieh Su is a data science leader with 10+ years of experience building production AI systems across security, personalization, and content domains, now heading Data Science at a stealth startup in San Diego. He has shepherded anomaly and behavioral analytics at Qualcomm, led fraud and claims modeling at FICO, advanced personalization and image-based model techniques at Microsoft (including work on a CNN-based "channel painter"), and protected customers at Amazon via voice/keystroke fingerprinting. His strengths lie at the intersection of generative AI, human-in-the-loop validation, and deployable ML—translating research techniques like LSTMs and CNNs into scalable products and interactive analyst tools. Trained as a Ph.D. in Electrical Engineering and Bioinformatics from USC, he pairs deep technical rigor with a proven track record of shipping low-latency, high-impact systems in both startups and large enterprises. An under-the-radar thread through his career is a knack for summarizing massive signals into intuitive UIs and decision-ready features that amplify human judgement.
10 years of coding experience
17 years of employment as a software developer
Ph.D. Electrical Engineering and Bioinformatics, Ph.D. Electrical Engineering and Bioinformatics at University of Southern California
BS Electrical Engineering, BS Electrical Engineering at National Taiwan University