Peter Washington, PhD
Assistant Professor
Medicine
School of Medicine

I am a new assistant professor in the Division of Clinical Informatics and Digital Transformation (DoC-IT) in the Department of Medicine at UCSF. My research program focuses on computational and human-centered aspects of consumer digital health informatics, with an eventual goal of studying implementation aspects as well in order to translate these technologies into real-world practice.

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My group focused on building digital diagnostics, therapeutics, and monitoring tools using wearables, smartphones, websites, and specialized health hardware for a variety of health conditions that we are passionate about. I also teach Epi 233 - Introduction to Clinical Artificial Intelligence.

Awards

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• New Innovator Award, NIH, 2023-2028
• Stanford Interdisciplinary Graduate Fellowship, Stanford University, 2020-2022

Education & Training

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• PhD Bioengineering Stanford University 06/2022
• MS Computer Science Stanford University 06/2018
• BA Computer Science Rice University 05/2015

Interests

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• Global Health
• Digital Therapeutics
• Cardiovascular Disease
• Human-Centered AI
• Pediatric Development
• Remote Patient Monitoring
• Wearables
• Consumer Digital Health
• mHealth
• Digital Diagnostics
• Music Therapy
• Lifestyle and Behavior Change
• Artificial Intelligence / Machine Learning
• Digital Phenotyping
• Chronic Diseases
• Psychiatry and Behavioral Sciences
• Global Digital Health

Websites

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• Epi233 Course Webpage (epibiostat.ucsf.edu)
• Home Page (peterwashington.net)

Videos

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• Video (youtube.com)

Grants and Projects

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• Crowd-Powered Machine Learning to Diagnose ASD and ADHD in Adolescents from Digital Social Interactions, NIH, 2023-2028
• SCH: Personalized Machine Learning for Repeat Adverse Health Events using Novel Multimodal Self-Supervised Pretraining Methods, NSF, 2025-2028

Publications (64)

Top publication keywords:
Machine LearningCloud ComputingData CollectionMobile ApplicationsChild BehaviorAutism Spectrum DisorderBiosensing TechniquesBehavior Observation TechniquesAutistic DisorderCrowdsourcingComputational BiologyInformaticsDiagnostic Tests, RoutineArtificial IntelligenceUser-Computer Interface

• Analysis of Physical Activity Using Wearable Health Technology in US Adults Enrolled in the All of Us Research Program: Multiyear Observational Study.
  Journal of medical Internet research 2024 Singh R, Tetrick MK, Fisher JL, Washington P, Yu J, Paskett ED, Penedo FJ, Clinton SK, Benzo RM
• Design Guidelines for Improving Mobile Sensing Data Collection: Prospective Mixed Methods Study.
  Journal of medical Internet research 2024 Slade C, Benzo RM, Washington P
• Evaluating Multicultural Autism Screening for Toddlers Using Machine Learning on the QCHAT-10.
  medRxiv : the preprint server for health sciences 2024 Sollis LJ, Wall DP, Washington PY
• A mixed-method exploration of #vapingcessation videos on TikTok.
  Journal of addictive diseases 2024 Amin S, Chae SW, Washington PY, Okamoto SK, Youkey T, Pokhrel P
• Addendum: Using #ActuallyAutistic on Twitter for Precision Diagnosis of Autism Spectrum Disorder: Machine Learning Study.
  JMIR formative research 2024 Jaiswal A, Shah A, Harjadi C, Windgassen E, Washington P

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• Ethics of the Use of Social Media as Training Data for AI Models Used for Digital Phenotyping.
  JMIR formative research 2024 Jaiswal A, Shah A, Harjadi C, Windgassen E, Washington P
• Multimodal deep learning for dementia classification using text and audio.
  Scientific reports 2024 Lin K, Washington PY
• A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning Study.
  JMIR AI 2024 Li J, Washington P
• A Perspective on Crowdsourcing and Human-in-the-Loop Workflows in Precision Health.
  Journal of medical Internet research 2024 Washington P
• Non-Invasive Biosensing for Healthcare Using Artificial Intelligence: A Semi-Systematic Review.
  Biosensors 2024 Islam T, Washington P
• Challenges in Reducing Bias Using Post-Processing Fairness for Breast Cancer Stage Classification with Deep Learning.
  Algorithms 2024 Soltan A, Washington P
• Personalized AI-Driven Real-Time Models to Predict Stress-Induced Blood Pressure Spikes Using Wearable Devices: Proposal for a Prospective Cohort Study.
  JMIR research protocols 2024 Kargarandehkordi A, Slade C, Washington P
• Using #ActuallyAutistic on Twitter for Precision Diagnosis of Autism Spectrum Disorder: Machine Learning Study.
  JMIR formative research 2024 Jaiswal A, Washington P
• Digitally Diagnosing Multiple Developmental Delays Using Crowdsourcing Fused With Machine Learning: Protocol for a Human-in-the-Loop Machine Learning Study.
  JMIR research protocols 2024 Jaiswal A, Kruiper R, Rasool A, Nandkeolyar A, Wall DP, Washington P
• Personalized Deep Learning for Substance Use in Hawaii: Protocol for a Passive Sensing and Ecological Momentary Assessment Study.
  JMIR research protocols 2024 Sun Y, Kargarandehkordi A, Slade C, Jaiswal A, Busch G, Guerrero A, Phillips KT, Washington P
• Audio-Based Emotion Recognition Using Self-Supervised Learning on an Engineered Feature Space.
  AI (Basel, Switzerland) 2024 Nimitsurachat P, Washington P
• Individualized Stress Mobile Sensing Using Self-Supervised Pre-Training.
  Applied sciences (Basel, Switzerland) 2023 Islam T, Washington P
• Identifying crossovers and shared genetic material in whole genome sequencing data from families.
  Genome research 2023 Paskov K, Chrisman B, Stockham N, Washington PY, Dunlap K, Jung JY, Wall DP
• Localizing unmapped sequences with families to validate the Telomere-to-Telomere assembly and identify new hotspots for genetic diversity.
  Genome research 2023 Chrisman B, He C, Jung JY, Stockham N, Paskov K, Washington P, Petereit J, Wall DP
• Parkinson Disease Recognition Using a Gamified Website: Machine Learning Development and Usability Study.
  JMIR formative research 2023 Parab S, Boster J, Washington P
• Personalized Machine Learning using Passive Sensing and Ecological Momentary Assessments for Meth Users in Hawaii: A Research Protocol.
  medRxiv : the preprint server for health sciences 2023 Washington P
• Investigating #vapingcessation in Twitter.
  Research square 2023 Amin S, Jaiswal A, Washington PY, Pokhrel P
• A Review of and Roadmap for Data Science and Machine Learning for the Neuropsychiatric Phenotype of Autism.
  Annual review of biomedical data science 2023 Washington P, Wall DP
• Training and Profiling a Pediatric Facial Expression Classifier for Children on Mobile Devices: Machine Learning Study.
  JMIR formative research 2023 Banerjee A, Mutlu OC, Kline A, Surabhi S, Washington P, Wall DP
• Digitally Diagnosing Multiple Developmental Delays using Crowdsourcing fused with Machine Learning: A Research Protocol.
  medRxiv : the preprint server for health sciences 2023 Washington P
• Session Introduction: TOWARDS ETHICAL BIOMEDICAL INFORMATICS: LEARNING FROM OLELO NOEAU, HAWAIIAN PROVERBS.
  Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 2023 Washington PY, Puniwai N, Kamaka M, Gürsoy G, Tatonetti N, Brenner SE, Wall DP
• Machine learning models using mobile game play accurately classify children with autism.
  Intelligence-based medicine 2022 Deveau N, Washington P, Leblanc E, Husic A, Dunlap K, Penev Y, Kline A, Mutlu OC, Wall DP
• Causal Modeling to Mitigate Selection Bias and Unmeasured Confounding in Internet-Based Epidemiology of COVID-19: Model Development and Validation.
  JMIR public health and surveillance 2022 Stockham N, Washington P, Chrisman B, Paskov K, Jung JY, Wall DP
• The human "contaminome": bacterial, viral, and computational contamination in whole genome sequences from 1000 families.
  Scientific reports 2022 Chrisman B, He C, Jung JY, Stockham N, Paskov K, Washington P, Wall DP
• Classifying Autism From Crowdsourced Semistructured Speech Recordings: Machine Learning Model Comparison Study.
  JMIR pediatrics and parenting 2022 Chi NA, Washington P, Kline A, Husic A, Hou C, He C, Dunlap K, Wall DP
• Crowd annotations can approximate clinical autism impressions from short home videos with privacy protections.
  Intelligence-based medicine 2022 Washington P, Chrisman B, Leblanc E, Dunlap K, Kline A, Mutlu C, Stockham N, Paskov K, Wall DP
• Improved Digital Therapy for Developmental Pediatrics Using Domain-Specific Artificial Intelligence: Machine Learning Study.
  JMIR pediatrics and parenting 2022 Washington P, Kalantarian H, Kent J, Husic A, Kline A, Leblanc E, Hou C, Mutlu OC, Dunlap K, Penev Y, Varma M, Stockham NT, Chrisman B, Paskov K, Sun MW, Jung JY, Voss C, Haber N, Wall DP
• Identification of Social Engagement Indicators Associated With Autism Spectrum Disorder Using a Game-Based Mobile App: Comparative Study of Gaze Fixation and Visual Scanning Methods.
  Journal of medical Internet research 2022 Varma M, Washington P, Chrisman B, Kline A, Leblanc E, Paskov K, Stockham N, Jung JY, Sun MW, Wall DP
• A Method for Localizing Non-Reference Sequences to the Human Genome.
  Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 2022 Chrisman BS, Paskov KM, He C, Jung JY, Stockham N, Washington PY, Wall DP
• A Mobile Game Platform for Improving Social Communication in Children with Autism: A Feasibility Study.
  Applied clinical informatics 2021 Penev Y, Dunlap K, Husic A, Hou C, Washington P, Leblanc E, Kline A, Kent J, Ng-Thow-Hing A, Liu B, Harjadi C, Tsou M, Desai M, Wall DP
• A Local Community-Based Social Network for Mental Health and Well-being (Quokka): Exploratory Feasibility Study.
  JMIRx med 2021 Shih C, Pudipeddi R, Uthayakumar A, Washington P
• Improved detection of disease-associated gut microbes using 16S sequence-based biomarkers.
  BMC bioinformatics 2021 Chrisman BS, Paskov KM, Stockham N, Jung JY, Varma M, Washington PY, Tataru C, Iwai S, DeSantis TZ, David M, Wall DP
• Training Affective Computer Vision Models by Crowdsourcing Soft-Target Labels.
  Cognitive computation 2021 Washington P, Kalantarian H, Kent J, Husic A, Kline A, Leblanc E, Hou C, Mutlu C, Dunlap K, Penev Y, Stockham N, Chrisman B, Paskov K, Jung JY, Voss C, Haber N, Wall DP
• A maximum flow-based network approach for identification of stable noncoding biomarkers associated with the multigenic neurological condition, autism.
  BioData mining 2021 Varma M, Paskov KM, Chrisman BS, Sun MW, Jung JY, Stockham NT, Washington PY, Wall DP
• Estimating sequencing error rates using families.
  BioData mining 2021 Paskov K, Jung JY, Chrisman B, Stockham NT, Washington P, Varma M, Sun MW, Wall DP
• Crowdsourced privacy-preserved feature tagging of short home videos for machine learning ASD detection.
  Scientific reports 2021 Washington P, Tariq Q, Leblanc E, Chrisman B, Dunlap K, Kline A, Kalantarian H, Penev Y, Paskov K, Voss C, Stockham N, Varma M, Husic A, Kent J, Haber N, Winograd T, Wall DP
• Indels in SARS-CoV-2 occur at template-switching hotspots.
  BioData mining 2021 Chrisman BS, Paskov K, Stockham N, Tabatabaei K, Jung JY, Washington P, Varma M, Sun MW, Maleki S, Wall DP
• Selection of trustworthy crowd workers for telemedical diagnosis of pediatric autism spectrum disorder.
  Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 2021 Washington P, Leblanc E, Dunlap K, Penev Y, Varma M, Jung JY, Chrisman B, Sun MW, Stockham N, Paskov KM, Kalantarian H, Voss C, Haber N, Wall DP
• Feature replacement methods enable reliable home video analysis for machine learning detection of autism.
  Scientific reports 2020 Leblanc E, Washington P, Varma M, Dunlap K, Penev Y, Kline A, Wall DP
• Precision Telemedicine through Crowdsourced Machine Learning: Testing Variability of Crowd Workers for Video-Based Autism Feature Recognition.
  Journal of personalized medicine 2020 Washington P, Leblanc E, Dunlap K, Penev Y, Kline A, Paskov K, Sun MW, Chrisman B, Stockham N, Varma M, Voss C, Haber N, Wall DP
• Game theoretic centrality: a novel approach to prioritize disease candidate genes by combining biological networks with the Shapley value.
  BMC bioinformatics 2020 Sun MW, Moretti S, Paskov KM, Stockham NT, Varma M, Chrisman BS, Washington PY, Jung JY, Wall DP
• The Performance of Emotion Classifiers for Children With Parent-Reported Autism: Quantitative Feasibility Study.
  JMIR mental health 2020 Kalantarian H, Jedoui K, Dunlap K, Schwartz J, Washington P, Husic A, Tariq Q, Ning M, Kline A, Wall DP
• Feature Selection and Dimension Reduction of Social Autism Data.
  Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 2020 Washington P, Paskov KM, Kalantarian H, Stockham N, Voss C, Kline A, Patnaik R, Chrisman B, Varma M, Tariq Q, Dunlap K, Schwartz J, Haber N, Wall DP
• Data-Driven Diagnostics and the Potential of Mobile Artificial Intelligence for Digital Therapeutic Phenotyping in Computational Psychiatry.
  Biological psychiatry. Cognitive neuroscience and neuroimaging 2019 Washington P, Park N, Srivastava P, Voss C, Kline A, Varma M, Tariq Q, Kalantarian H, Schwartz J, Patnaik R, Chrisman B, Stockham N, Paskov K, Haber N, Wall DP
• Identification and Quantification of Gaps in Access to Autism Resources in the United States: An Infodemiological Study.
  Journal of medical Internet research 2019 Ning M, Daniels J, Schwartz J, Dunlap K, Washington P, Kalantarian H, Du M, Wall DP
• Labeling images with facial emotion and the potential for pediatric healthcare.
  Artificial intelligence in medicine 2019 Kalantarian H, Jedoui K, Washington P, Tariq Q, Dunlap K, Schwartz J, Wall DP
• Scientific Discovery Games for Biomedical Research.
  Annual review of biomedical data science 2019 Das R, Keep B, Washington P, Riedel-Kruse IH
• Addendum to the Acknowledgements: Validity of Online Screening for Autism: Crowdsourcing Study Comparing Paid and Unpaid Diagnostic Tasks.
  Journal of medical Internet research 2019 Washington P, Kalantarian H, Tariq Q, Schwartz J, Dunlap K, Chrisman B, Varma M, Ning M, Kline A, Stockham N, Paskov K, Voss C, Haber N, Wall DP
• Validity of Online Screening for Autism: Crowdsourcing Study Comparing Paid and Unpaid Diagnostic Tasks.
  Journal of medical Internet research 2019 Washington P, Kalantarian H, Tariq Q, Schwartz J, Dunlap K, Chrisman B, Varma M, Ning M, Kline A, Stockham N, Paskov K, Voss C, Haber N, Wall DP
• Effect of Wearable Digital Intervention for Improving Socialization in Children With Autism Spectrum Disorder: A Randomized Clinical Trial.
  JAMA pediatrics 2019 Voss C, Schwartz J, Daniels J, Kline A, Haber N, Washington P, Tariq Q, Robinson TN, Desai M, Phillips JM, Feinstein C, Winograd T, Wall DP
• Detecting Developmental Delay and Autism Through Machine Learning Models Using Home Videos of Bangladeshi Children: Development and Validation Study.
  Journal of medical Internet research 2019 Tariq Q, Fleming SL, Schwartz JN, Dunlap K, Corbin C, Washington P, Kalantarian H, Khan NZ, Darmstadt GL, Wall DP
• Interactive programming paradigm for real-time experimentation with remote living matter.
  Proceedings of the National Academy of Sciences of the United States of America 2019 Washington P, Samuel-Gama KG, Goyal S, Ramaswami A, Riedel-Kruse IH
• Outgroup Machine Learning Approach Identifies Single Nucleotide Variants in Noncoding DNA Associated with Autism Spectrum Disorder.
  Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 2019 Varma M, Paskov KM, Jung JY, Sierra Chrisman B, Stockham NT, Washington PY, Wall DP
• Mobile detection of autism through machine learning on home video: A development and prospective validation study.
  PLoS medicine 2018 Tariq Q, Daniels J, Schwartz JN, Washington P, Kalantarian H, Wall DP
• A Mobile Game for Automatic Emotion-Labeling of Images.
  IEEE transactions on games 2018 Kalantarian H, Jedoui K, Washington P, Wall DP
• Guess What?: Towards Understanding Autism from Structured Video Using Facial Affect.
  Journal of healthcare informatics research 2018 Kalantarian H, Washington P, Schwartz J, Daniels J, Haber N, Wall DP
• Exploratory study examining the at-home feasibility of a wearable tool for social-affective learning in children with autism.
  NPJ digital medicine 2018 Daniels J, Schwartz JN, Voss C, Haber N, Fazel A, Kline A, Washington P, Feinstein C, Winograd T, Wall DP
• Feasibility Testing of a Wearable Behavioral Aid for Social Learning in Children with Autism.
  Applied clinical informatics 2018 Daniels J, Haber N, Voss C, Schwartz J, Tamura S, Fazel A, Kline A, Washington P, Phillips J, Winograd T, Feinstein C, Wall DP
• Palliative and end-of-life care in the African American community.
  JAMA 2000 Crawley L, Payne R, Bolden J, Payne T, Washington P, Williams S, Initiative to Improve Palliative and End-of-Life Care in the African American Community