Professor Peter Washington from the Information & Computer Sciences Department at the University of Hawaiʻi at Mānoa gave a presentation on the topic “Human-Centered Data Science for Healthcare.”
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 describe 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 CIS thesis research projects within the broad field of “digital health”.
Peter Washington is an Assistant Professor in the Information & Computer Sciences department at the University of Hawaiʻi at Mānoa. Prior to this role, he completed his PhD in Bioengineering at Stanford University, MS in Computer Science at Stanford University, and BA in Computer Science at Rice University.
His research interests include developing data science methods to support machine learning for health and wellbeing, crowdsourcing for precision health, and precise digital diagnostics and interventions. Click here for more information.