Christoph Moehl is a data scientist and Python developer with 11 years of experience blending biophysics research and applied AI to deliver data-driven solutions across biotech, pharma, banking and wholesale. He holds a PhD in biophysics and led an image and data analysis facility where he built deep-learning pipelines for automated object detection and advised scientists on large-scale analytics. As a consultant and hands-on engineer he designs pragmatic ML and data engineering solutions—ranging from sensor analytics and drug-discovery workflows to pricing, forecasting and algorithmic trading—while keeping implementations aligned with mid-market budget constraints. Comfortable across the stack, his toolset includes TensorFlow, PyArrow and Pandas, and he has repeatedly translated complex scientific problems into production-ready software and BI dashboards. Notably, his background in live-cell and fluorescence microscopy gives him a rare edge in extracting signal from noisy, high-dimensional datasets.
11 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Biophysics, Doctor of Philosophy (Ph.D.) Biophysics at The University of Bonn
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