Nick Linck is a founder and AI-focused engineer with 12 years of experience building research-driven products at the intersection of machine learning, causal inference, and decision-making. He holds dual CS and Data Science degrees from the University of Michigan and contributed academic work on reinforcement learning for sports analytics before joining IBM as a machine learning research scientist, where he authored papers, filed patents, and explored metrics for machine intelligence and misinformation mitigation. Now leading The Residency in San Francisco, he focuses exclusively on leveraging AI to improve outcomes at scale and is particularly interested in architectures that advance safe, high-impact intelligence. Nick blends hands-on engineering—Kubernetes test frameworks, RCNNs, and production software—with statistical rigor in trial design, a combination that informs both his research and product decisions. A Midwest upbringing and ongoing curiosity about human cognition give him a practical, societally minded approach to making AI “100x better.”
12 years of coding experience
5 years of employment as a software developer
High School, High School at West Catholic High School
Double Bachelor's Degree Computer Science Engineering and Data Science Engineering, Double Bachelor's Degree Computer Science Engineering and Data Science Engineering at University of Michigan
Companion code for "Sample size considerations for comparing dynamic treatment regimens in a sequential multiple-assignment randomized trial with a continuous longitudinal outcome"
Contributions:1 release, 4 PRs, 41 pushes in 1 year 3 months
comparingrandomizedsample-sizeoutcomecontinuous
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