Summary
Andre Scholich is an Expert in Risk Solutions with 12 years of experience bridging theoretical physics, data science, and software engineering to solve complex, data-driven problems. Trained as a PhD in Biological Physics, he translates rigorous modeling and pattern-finding skills into production systems across startups, research institutions, and regulated financial markets. He has led backend and data teams to build scalable analytics — from UXCam’s SaaS dashboards to cloud-native validation pipelines for autonomous driving at Torc and counterparty risk tooling for EEX/ECC. Language-agnostic and tooling-pragmatic, Andre favors Python today but designs systems to use the best tool for the job. Colleagues know him for turning deep scientific curiosity into practical, auditable solutions that improve both model quality and operational reliability.
12 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Biological Physics, Doctor of Philosophy - PhD Biological Physics at Technische Universität Dresden