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AI, Data Science and Engineering • Real World Evidence
🚀 Data Science Leader | AI/ML Builder | Healthcare Technology I build and lead teams developing AI/ML solutions that transform industries in both corporate and startup environments. Currently building AI-assisted products with human-in-the-loop to deliver high-quality, robust scientific evidence for pharmaceutical products at scale. 💡 Key Achievements * Scaled multiple startups to 500+ users with bootstrapped resources * Accelerated real-world evidence generation with custom AI framework, delivering on multiple multi-million-dollar impact use cases across various indications and stages of development * Built production AI systems handling terabyte-scale medical data * Led engineering and data science teams of 3-5 members in corporate and startup environments * Published first-author research used in Nobel Prize-winning gravitational wave detection 🔧 Core Expertise AI/ML Architecture | Team Leadership | Healthcare Tech | Product Strategy
Caltech
Doctor of Philosophy (Ph.D.), Physics (Gravitational Waves)
January 1, 2007 – January 1, 2014
University of Rochester
Bachelor of Science (BS), Mathematics, Physics
January 1, 2003 – January 1, 2007
GegLex
Co-founder / Tech Lead
September 1, 2025 – Present
Germany · Remote
Horsy.ai
Co-founder / Tech Lead
June 1, 2024 – July 1, 2025
Remote
Bayer
Lead Data Scientist
January 1, 2023 – Present
Berlin, Germany · Hybrid
Bayer
Data Scientist
August 1, 2020 – December 1, 2022
Berlin, Germany · Hybrid
Daimler Mobility Services GmbH
Data Scientist
February 1, 2019 – May 1, 2020
Berlin Area, Germany
So1 GmbH
Machine Learning Engineer
August 1, 2017 – December 1, 2018
Berlin Area, Germany
Max Planck Institute for Gravitational Physics
Research Scientist
September 1, 2014 – August 1, 2017
Potsdam, Germany
Caltech
Graduate Student Researcher
June 1, 2009 – June 1, 2014
Caltech
Resident Associate
January 1, 2009 – January 1, 2011
Caltech
Teaching Assistant
September 1, 2007 – January 1, 2012
Caltech
Graduate Student Researcher
July 1, 2007 – January 1, 2009
Udacity Deep Learning Nanodegree
November 1, 2019 – February 1, 2020
Backpropagation from scratch, image classification, generative adversarial networks, recurrent neural networks, convolutional neural networks, deployment of sentiment analysis model with AWS
Cultural Fit Analysis
The candidate's diverse experience, ranging from academic research at Caltech and Max Planck to industry roles at Bayer and Daimler, and entrepreneurial ventures, suggests adaptability and a broad perspective. Their involvement in two startups as a Co-founder/Tech Lead indicates a strong alignment with the innovative and high-ownership culture typically associated with a Co-Founder role. The breadth of skills from deep learning to web development and business strategy further supports a good cultural fit for a dynamic startup environment.
Soft Skills & Operational Fit
The candidate's experience as a Lead Data Scientist and Co-founder suggests strong leadership, problem-solving, and strategic thinking. Their academic background and research roles indicate a high capacity for independent work, critical analysis, and complex problem resolution. The descriptions of fostering community and conflict resolution as a Resident Associate also point to strong interpersonal and communication skills, crucial for a Co-Founder role.