Data Scientist
BD
Boulder, Colorado, United States
Walter Leo is a data scientist specializing in infectious disease ecology and health access analysis. Currently at BD, he designs data pipelines and predictive models to identify underserved communities and support targeted health interventions. Prior to this, he worked at the National Ecological Observatory Network, where he led the development of QAQC tools and Shiny applications for ecological data monitoring. Walter is passionate about using data science to bridge gaps in healthcare access and environmental health.
Walter holds an MRes in Quantitative Ecology from the University of Glasgow, and a B.S. in Biology from Eastern Connecticut State University. His work has contributed to publications on Lyme disease emergence and national ecological data products.
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Harnessing Machine Learning (ML) to Measure Access to Health Care
Thursday, October 23, 2025
1:45 PM - 2:30 PM CT