Jessica Walkenhorst is a Staff Research Data Scientist based in London with 16 years of experience bringing physics-grade rigor to real-world data products, from research-grade time-dependent simulations to production ML and MLOps. She blends deep domain expertise in optimization, time-series, NLP and computer vision with hands-on mastery of Python, PySpark, Kubernetes and cloud infrastructure to move models from prototype to deployed systems. Her background as a PhD physicist trained her in high-performance computing, grant-funded collaboration and clear scientific communication—skills she now applies to carbon removal and clean-tech work at Carbon Direct. Known for fast learning, effective cross-functional leadership and community engagement, she writes about data science publicly and maintains active GitHub projects that reflect a theoretical-to-applied trajectory. Quietly resilient and curious, she even carries first-aid certification for workplace safety, underscoring a practical, people-first approach to technical leadership.
16 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD) Physics, Doctor of Philosophy (PhD) Physics at Universidad del País Vasco/Euskal Herriko Unibertsitatea
Coursera
Big Data University
Udacity
A-Levels Physics Mathematics English Ethics, A-Levels Physics Mathematics English Ethics at Gustav-Stresemann Gymnasium
Stanford Online Lagunita
Dipl.-Phys. (MSc.) Experimental Physics Theoretical Physics Semiconductor Physics Optoelectronics, Dipl.-Phys. (MSc.) Experimental Physics Theoretical Physics Semiconductor Physics Optoelectronics at University of Kassel
Contributions:219 commits, 8 PRs, 223 pushes in 4 years 4 months
reactnextjs
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Jessica Walkenhorst - Staff Research Data Scientist