Will Stedden is a Senior Data Scientist based in Berkeley with 12 years of experience applying statistical modeling, ML, and end-to-end product development across geospatial, genomics, healthcare, and agricultural domains. He has led teams and built production ETL pipelines, dashboards, and model-serving infrastructure at companies from startups to large enterprises, and recently quantified satellite-based soil carbon at scale for over 5 million acres. Will’s work blends deep academic training (PhD in Biophysics) with practical engineering—deploying causal inference methods that were patented and integrating diverse data sources like Salesforce, S3/Athena/RDS into reliable pipelines. He’s comfortable moving fast in agile environments, selecting and optimizing generative AI models for media processing, and translating complex science into actionable product metrics. A detail that often surprises collaborators: he pairs experimental biophysics experience with production ML, enabling him to bridge lab-derived measurement rigor and scalable data products.
11 years of coding experience
11 years of employment as a software developer
Bachelor of Science (BS) Engineering Physics, Bachelor of Science (BS) Engineering Physics at The Grainger College of Engineering
Doctor of Philosophy (Ph.D.) Biophysics, Doctor of Philosophy (Ph.D.) Biophysics at University of Chicago
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