Summary
Fabian Sinz is a professor and machine learning researcher with 14+ years of experience building NeuroAI methods and data-driven “digital twins” for biological systems, currently holding the W3 chair of Machine Learning at the University of Göttingen. His work bridges computational neuroscience and ML to create models that generate testable biological insights, with publications in Nature, Science, NeurIPS and ICLR and over 4,000 citations (h-index >28). He leads multiple large-scale, funded collaborations—including two DFG SFBs, an RTG he helps coordinate, and international BMBF/NSF projects—demonstrating deep experience in both academic leadership and cross-sector partnerships. Trained summa cum laude in computational neuroscience and with stints at Baylor and the Max Planck Institute, he combines rigorous theoretical grounding with practical experimental validation. An underappreciated strength is his focus on transferring properties of biological systems into ML models, turning complex experimental constraints into scalable computational tools.
14 years of coding experience
11 years of employment as a software developer
Diploma in Computer Science (Dipl. Inform.), Bioinformatics, Diploma in Computer Science (Dipl. Inform.), Bioinformatics at University of Tuebingen