Summary
Yamaç Işık is a founding staff engineer and CTO-level builder with 8 years of experience applying ML and AI to high-stakes operational problems, currently leading Noam’s effort to bring AI into aviation safety and operations. He has co-founded and shipped forecasting and probabilistic systems at Aerology and Aimiable, improving prediction accuracy and extending horizons using transformers, boosted trees, and custom probabilistic networks. Comfortable across the stack, he designs end-to-end pipelines and MLOps on AWS and GCP, instrumentation with Grafana/InfluxDB, and model experimentation with W&B to turn forecasts into actionable staffing and routing decisions. His research background at Duke in temporal point processes and Hawkes-process innovations informs practical, interpretable models for healthcare and travel disruptions. A multilingual economist-turned-engineer, he blends rigorous causal inference and time-series expertise with production engineering chops to solve real-world operational risk. Based in Durham with a global education pedigree, he quietly combines academic depth with founder grit to deliver measurable operational gains.
8 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Computer Science & Economics, Master of Science - MS, Computer Science & Economics at Duke University
Master of Science - MS, Economics, Master of Science - MS, Economics at Barcelona Graduate School of Economics
Postgradute Diploma, Economics, First-class honours, Postgradute Diploma, Economics, First-class honours at University of Warwick
Undergraduate, Civil Engineering, Honor's Degree, Undergraduate, Civil Engineering, Honor's Degree at Boğaziçi University
English, Turkish, German, French, Spanish