ERIC J. DAZA

Biostatistician +

Health Data Scientist +
Digital Health Researcher

  • I strengthen statistical estimation and causal inference using machine learning techniques.

  • I build data-analytic methods for personal digital health using an n-of-1 / single-case framework.

(photo by Adam Chapin Photography)

(Barong Tagalog by Nostalgia Barong at Saya)

 

Bio

"Uncertain times call for certain measurements." (Science, Apr 2017)

Dr. Daza is a biostatistician and data scientist at Evidation Health on the Digital Health Outcomes team. He's also a member of the DrPH Coalition. Previously, he was a research statistician and data scientist at Clarify Health, a healthcare tech company, after training as a postdoctoral research fellow at the Stanford Prevention Research Center.

He created and edits Stats-of-1, a blog for personal digital health methodology. Dr. Daza calls the theory and application of statistics for studying one individual's recurrent characteristics and patterns esametry (pronounced "ee-sa-metry"), from isa (pronounced "ee-SA"), the Filipino/Tagalog word for "one".

He is also a General Member of the International Collaborative Network (ICN) for N-of-1 Clinical Trials and Single-Case Experimental Designs (SCEDs), chaired by Prof. Jane Nikles and Dr. Suzanne McDonald. In particular, Dr. Daza investigates individualized discovery of health-related causes and effects using machine learning and data from wearable devices, sensors, and apps. He calls this the CASIA Project.

With the privileges he was given as a Brown Asian middle-class immigrant, Eric Jay earned both his B.A. in Neurobiology / Cognitive Studies and M.P.S. in Applied Statistics at Cornell University, followed by his DrPH (Doctor of Public Health) in Biostatistics at the University of North Carolina at Chapel Hill. He is also lucky to have been trained by Jesuits — twice.

Over 17+ years, Dr. Daza's work in both industry and academia has spanned healthcare, pharmaceuticals, clinical trials, survey sampling, nutrition, maternal/child health, global/international health, and health promotion & disease prevention.

He's interested in causal inference, n-of-1/single-subject studies, Quantified Self, longitudinal analysis, population/public health, minority health (focusing on Asian Americans, in particular Filipinos), the microbiome, and gun violence.

Here's a fun video by Eric Jay's brilliantly witty UNC friends in which he plays a singing statistics professor: A Statistical New World (see Videos page for more clips)

(photo by Adam Chapin Photography)

(Barong Tagalog by Nostalgia Barong at Saya)

 

Get in Touch

San Francisco Bay Area, CA, USA

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