Summary
Robert Lass is a seasoned data science and machine learning leader with 13 years of experience building production ML systems, mentoring teams, and shaping product strategy from startup to boardroom. Currently a board member at TeraDact and active in Robin Hood Ventures, he blends technical depth—PhD-level research in multi-agent systems—with practical delivery, having designed and deployed dockerized ML APIs on Kubernetes for advertising automation. As former CTO of a safety-focused startup and Director of Data Science at Sidecar/Quartile, he’s driven OKRs, hiring, and cross-functional workflows while remaining hands-on in model development and deployment. He co-organizes DataPhilly, speaks regularly on topics like PCA and neural networks, and has a track record of academic-industry collaboration including publications and international research stints. Notably, his background includes building anti-abuse and churn-prediction systems and even spending time embedded with field research during his doctoral work—evidence of a pragmatic, curious engineer who follows problems into production and the field.
13 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy, Computer Science, Doctor of Philosophy, Computer Science at Drexel University