Ulrich Schaechtle is Head of Data Science with 11 years’ experience building probabilistic and generative ML systems, currently leading data science at a stealth AI startup in New York. He transitioned academic breakthroughs into product as co-founder and research lead on the InferenceQL/GenSQL project, helping commercialize six years of MIT research into a core startup product. His background includes hands-on development of JAX-based probabilistic programming and a stint leading a state-of-the-art generative foundation model at an MIT-affiliated lab, evidencing strength across research and production. A PhD in Machine Learning and prior roles as MIT research scientist and postdoc underscore his ability to bridge rigorous research with pragmatic engineering. He’s known for probabilistic programming leadership (Probabilistic Programming Lead @InferenceQL) and for turning complex, sparsely overlapping tabular and database datasets into high-performing models.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Machine Learning, Doctor of Philosophy (Ph.D.), Machine Learning at Royal Holloway, University of London
MSc, Computing (Artificial Intelligence), MSc, Computing (Artificial Intelligence) at Imperial College London
BSc, Applied Cognitive and Media Science, BSc, Applied Cognitive and Media Science at University of Duisburg-Essen
Contributions:7 reviews, 2 PRs, 4 pushes in 2 years
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