Summary
Nick Hoernle is a Data Scientist based in Zurich with a decade of experience building scalable machine learning pipelines and solving large-scale prediction problems such as demand forecasting and price optimisation. With a PhD in Artificial Intelligence from the University of Edinburgh, his research background spans deep generative models, Bayesian/probabilistic graphical models, time series, and neuro-symbolic AI—skills he applies to causal analysis and experimentation in production settings at QuantCo. He has practical industry experience from internships and consulting engagements, including prototyping search and transcription tools at Microsoft, and a history of founding and leading education-focused ventures. Comfortable bridging research and engineering, he brings both rigorous statistical inference and hands-on pipeline implementation to real-world business problems. Outside work he’s an avid mountain athlete and water-sports enthusiast, a combination that reflects a taste for technical challenge and adventurous problem solving.
10 years of coding experience
5 years of employment as a software developer
Matric, Matric at St Johns College
Bachelor of Engineering (BEng), Electronics and Computer Engineering, Bachelor of Engineering (BEng), Electronics and Computer Engineering at University of Cape Town
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at The University of Edinburgh
Artificial Intelligence, Artificial Intelligence at Ben-Gurion University of the Negev
Bayesian Inference, Bayesian Inference at Massachusetts Institute of Technology
Masters in Computational Science and Engineering, Masters in Computational Science and Engineering at Harvard University
Zulu