Max Horn
Senior Machine Learning Engineer at Apple
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolMax Horn is a Senior Machine Learning Engineer with 11 years of experience blending deep learning, causality and computational biology to build robust, transferable models. He holds a PhD from ETH Zürich and has driven research and production work at AWS, GSK and Apple, with a focus on causal representation learning, object-centric vision and intelligent assistants. His PhD work tackled clinically relevant time-series anomaly detection and topology-preserving representation learning, and he has applied probabilistic modeling and uncertainty quantification across biology and healthcare. Comfortable shipping mid-to-large scale ML codebases, he also administers large compute clusters and understands low-level Linux intricacies—skills that let him bridge research prototypes and production systems. Notably, he has experience mentoring PhD interns and shaping long-term research agendas in industrial research settings.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.Sc.) Molecular Biotechnology: Bioinformatics, Bachelor of Science (B.Sc.) Molecular Biotechnology: Bioinformatics at Heidelberg UniversityDoctor of Science Machine Learning, Doctor of Science Machine Learning at ETH Zürich
Stackoverflow
1reputation
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Github Skills (124)
probabilistic-programming10
python10
topological-data-analysis10
mcmc10
deep-learning10
bayesian-inference10
autoencoder10
ml10
neural-network10
jax10
variational-inference10
data-science10
bayesian10
tensorflow10
pytorch10
Programming languages (11)
Github contributions (5)
ExpectationMax/sklearn-jax-kernels
Mar 2020 - Oct 2020
Composable kernels for scikit-learn implemented in JAX.
Contributions:49 commits, 4 pushes in 7 months
jaxscikit-learn
ExpectationMax/simple_gpu_scheduler
Oct 2019 - Oct 2020
Simple scheduler for running jobs on GPUs
Contributions:21 commits, 10 pushes, 1 branch in 1 year
schedulersimple-schedulerjobsgpus
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