Summary
Nil Mill is a machine learning and computational biology specialist with 11 years of cross-disciplinary experience, currently co-founding Decycle Bio and advising at Infinitopes. Trained at ETH Zurich and the University of Zurich, Nil has applied deep learning and graph representations to polymer discovery (IBM Research), drug formulation (Novartis), and neoantigen prediction for personalized cancer platforms, with patent and publication activity stemming from that work. He bridges academic rigor and product-focused ML—moving models from research prototypes to startup environments—and has practical expertise in GNNs, quantum chemistry-informed features, and privacy-preserving ML. An early iGEM founder and former lab intern on brain–machine interfaces, Nil brings a rare combination of wet-lab awareness and production ML engineering to healthcare-focused AI.
11 years of coding experience
6 years of employment as a software developer
Master of Science - MS Neural Systems and Computation, Master of Science - MS Neural Systems and Computation at University of Zurich
Bachelor's degree Bioengineering and Biomedical Engineering, Bachelor's degree Bioengineering and Biomedical Engineering at Universitat Pompeu Fabra
Master of Science - MS Neural Systems and Computation, Master of Science - MS Neural Systems and Computation at ETH Zürich
Spanish, Catalan, English, Japanese