Eric J. Daza

STATEMENT OF PURPOSE

To develop practical causal-inference methods for personalized health interventions, self-experimentation, n-of-1 trials, precision medicine, Asian-American health (focusing on Filipinos), and gut-microbiome research; to develop longitudinal missing-data methods; and to promote the design of reproducible or replicable studies. Areas of particular interest include iterative causal discovery/induction (e.g., mobile health apps, wearable devices, just-in-time adaptive interventions, micro-randomized trials, ecological momentary assessment, quantified-self data, and A/B testing), GEE, inverse-probability weighting, Bayesian methods, and meta-analysis.

GENERAL SUMMARY

I am professionally drawn to the promise of mobile health (mhealth), micro-randomized trials (e.g. just-in-time adaptive interventions), experience sampling or ecological momentary assessment, and wearable tech to provide personalized advice, coaching, therapy, or treatment by using your own historical data to help you live a more fulfilling life. More philosophically, I'm interested in how we define and notice patterns of association, thereby to make appropriately constrained causal inferences---some of which we can hopefully test by experiment.

My academic training is in doctoral-level biostatistical and causal inference, along with undergraduate neurobiology and cognitive psychology---but really, I love learning from many activities, including rock climbing, martial arts, and creating/performing music. My moral and spiritual training emerges from Jesuit thought and tradition, and has guided me as a well-considered agnostic Ignatian humanist. I'm a critical-minded world citizen who is broadly interested in the history of interaction between individuals and institutions, how personal and societal consciousness emerges and changes, the role of empathy in establishing trust and communication, and how a person's daily health, attitudes, and behaviors relate to these constructs.