Steph Eaneff

Steph Eaneff is an applied data scientist working at the intersection of healthcare, public policy, and technology. She’s passionate about conducting analyses that inform practical, real-world decisions. She has designed dashboards that drove natural disaster response strategy for the U.S. CDC and developed data and modeling inventories used by the White House to prepare for and respond to infectious disease outbreaks. She’s worked with ALS patients to improve the next-generation of power wheelchairs and collaborated with UNAIDS to build data systems that characterize the impact of HIV-related laws and policies.

Steph holds a master’s degree in statistical practice from Carnegie Mellon University and an undergraduate degree in biochemistry from UCLA. She was named a health innovation research fellow at UC Berkeley and UCSF. Her work has been published in JAMA and BMJ Global Health and featured in national and international venues like the US Department of Health and Human Services ‘Trustworthy AI Playbook’, the United Nations Biological Weapons Convention Meeting of Experts, and by a High-Level Independent Panel of the G20. She is a Lecturer in UC Berkeley's School of Information, a staff data scientist at Woebot Health, and also works as an independent data science consultant.