Summary
Timothy Gebhard is a technical lead and Ph.D. researcher specializing in machine learning for astrophysics, with 11 years of professional experience bridging academic research and applied software engineering. He completed advanced studies at KIT and ETH Zürich and spent seven years as a doctoral student at the Max Planck ETH Center for Learning Systems, focusing on ML methods tailored to astrophysical data. Timothy has hands-on experience moving research into practice through roles at the Max Planck Institute and a software engineering internship at Bosch Digital, and he now leads technical efforts at calliora. His work blends deep theoretical understanding with production-minded engineering, enabling robust ML pipelines for scientific problems. Based in Tübingen, Germany, he brings a collaborative, research-driven approach to building scalable ML systems and enjoys translating complex astrophysical questions into deployable models. A detail that sets him apart is his sustained commitment to both long-term doctoral research and rapid industry delivery, demonstrating rare breadth across fundamental research and product engineering.
11 years of coding experience
Master of Science - MS, Physik, Master of Science - MS, Physik at Karlsruhe Institute of Technology (KIT)
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at ETH Zürich
Linköping University
English, Swedish, German