Human-centered data science
03 Mar 2023

Seminar: Human-Centered Data Science for Healthcare


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Abstract: There are major bottlenecks to healthcare, including in Hawaii, which have resulted in a massive shortage of clinicians for diagnosis and treatment. These gaps in healthcare access disproportionately affect under-served and marginalized populations. Digital devices provide an opportunity to provide objective diagnostics and remote care in a scalable and accessible manner. Throughout my talk, I will summarize my work in diagnostics and therapeutics for autism which I conducted during my PhD thesis as well as new projects which I am starting in my lab at UH, each of which follow the “digital phenotyping” paradigm I outlined in my thesis. I will highlight several possibilities for MS and PhD thesis research projects within the broad field of “digital health”.

Speaker Biography:

Peter Washington

Dr. Washington is an Assistant Professor in the Information & Computer Sciences (ICS) department at the University of Hawaiʻi at Mānoa. Dr. Washington leads the Hawaii Digital Health Lab, a research group which focuses on the development of data science methods to support machine learning for health and wellbeing, crowdsourcing for precision healthcare, and the development of precision digital diagnostics, interventions, and therapeutics using methods from human-computer interaction. Prior to this role, Dr. Washington completed his PhD in Bioengineering at Stanford University, MS in Computer Science at Stanford University, and BA in Computer Science at Rice University. More details about the Hawaii Digital Health Lab can be found here:


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