Peter Washington

Peter Washington is an Assistant Professor in the Department of Medicine at the University of California, San Francisco (UCSF), affiliated with the School of Medicine and the Division of Clinical Informatics and Digital Transformation (DoC-IT). He leads the UCSF TECH Lab (Technologies Empowering Consumer Health), focusing on human-centered AI for digital health applications.

Education:

• PhD in Bioengineering, Stanford University (2022)
• MS in Computer Science, Stanford University (2018)
• BA in Computer Science, Rice University (2015)

His research centers on consumer digital health informatics, leveraging data from wearables, smartphones, and specialized health devices to develop digital diagnostics, therapeutics, and monitoring tools. Key areas include autism and ADHD screening, mental health, substance use, chronic disease management, and global digital health. His work emphasizes ethical AI, crowdsourcing, and personalized machine learning.

The recent publications highlight a strong trend in applying AI to real-world health challenges, particularly through passive sensing, social media data, and multimodal inputs. His research spans digital phenotyping, remote monitoring, and bias mitigation in clinical AI, with a focus on implementation and equity.

Scientific Awards:

• NIH New Innovator Award (2023–2028)
• Stanford Interdisciplinary Graduate Fellowship (2020–2022)

Dr. Washington teaches Epi 233 – Introduction to Clinical Artificial Intelligence – and mentors UCSF students, staff, residents, and fellows in research projects. His lab is funded by the NIH and NSF, including as Principal Investigator on grants focused on personalized machine learning and crowd-powered diagnostics for neurodevelopmental conditions. He is actively involved in global health equity initiatives through the Institute for Global Health Sciences at UCSF.

Labs and Teams:

• UCSF TECH Lab (Technologies Empowering Consumer Health)
• Collaborator with Wall Lab and other interdisciplinary teams