Jason A. Thomas
PhD
Medical Data & AI Scientist | Strategist | Informatician | Tech lead - Senior Data & AI Scientist - Philips
University of Washington
Biography
Accomplished business leader and innovator at the intersection of data science & artificial intelligence, medical informatics, and organizational data strategy. I have 12+ years experience in medicine ranging from non-profit executive leadership, frontline healthcare delivery, observational & interventional research, analysis/modeling of real-world data to new product introduction R&D. In just 2.5 years of work in the medical devices industry, I have driven innovation and led lean teams to generate outsized business value through the application of data science and AI methods, and have had a similarly outsized impact on shaping broader data strategy with senior management.
In my prior roles as a researcher before and during my PhD, I published 16 and 4 peer-reviewed journal articles and conference proceedings, respectively, over a six year time span. I wrote a $1.75 million R01 grant on EHR data quality based on 1/3 of my dissertation research with my PhD advisor, Adam Wilcox that was scored in the top 38th percentile. I previously maintained many academic affiliations prior to moving to industry. These included serving on the Journal of the American Medical Informatics Association (JAMIA) student editorial board (2019-2021) under the mentorship of NEI director Mike Chiang then full editorial board (2021-2023), the 2021 AMIA Annual Symposium Scientific Committee, National Covid Cohort Collaborative (N3C) Synthetic Data Validation Workstream, Cascadia Data Alliance, National Research Network for Audit Log Data and more.
My main foci at Philips currently are 1) building foundations (data, infrastructure, knowledge representation, talent, culture) to support biomedical data science & AI and 2) applying data science & AI methods on data to drive business value and improve patient outcomes.
Download Jason’s resumé.
- Artificial Intelligence
- Real world evidence
- Computable Phenotyping
- Synthetic & real data utility, privacy
- Data access, sharing, privacy
- Digital therapeutics, clinical trials
- Data models, annotation & curation
- High-performance team building and culture
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PhD Biomedical Informatics; Data Science Specialization
University of Washington - Seattle WA
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Bachelor of Science - Human Physiology | Biology (Chem minor)
University of Oregon - Eugene OR
Skills
Utility Analyses, generation, privacy-utility tradeoff
OMOP, FHIR, etc.
UMLS, ATHENA, LOINC, SNOMED, etc.
Clinical trials, ethics approvals, data stewardship
Journal articles, grants, editing others' writing
Hiring, Culture, Agile Management
Experience
- Lead team of 4 data Scientist to develop solutions that drive business value
- Lead & own IGTD’s Galileo iniative. Key advisor on projects involving data & AI
- Collaborate with senior management to define data & AI strategy and integrate data science insights, AI capabilities & SWE best practices into broader company strategies
- Awarded $400k (6 teams selected of >30 apps) for cross-deptartment Gen AI project
- Designed, launched, led program that achieved payback on $1million by generating evidence at scale from hospital admin data supporting NPIs, reg compliance, marketing
- Selected, influenced infra/vendor choices for multiple projects
- Conceived of, wrote data strategy proposals adopted by senior leadership.
- Product manager and lead data scientist on generative AI use cases.
- Operate at the intersection of clinical development & R&D, regulatory affairs, business development & marketing, architecture, strategy, software engineering, data science.
- IP Generation: 253 inner-source contributions 2023: 57% commits,9% pull requests
- Predicted dementia status from FramingHam Heart Study Cognitive Aging Cohort data using acoustic, linguistic and clinical data; identified data utility issues with recordings.
- Wrote, co-designed $1.75mill NIH grant on EHR data quality scored top 38 percentile
- Applied EHR data analytics, predictive modeling, OHDSI model-to-data studies
- Assessed fitness for use of synthetic and real EHR and log data for research & hospital operations using UW Medicine and National Covid Cohort Collaborative (N3C) data
- Contributed to ETL of an OMOP UW Medicine COVID-19 Research Data Warehouse
- Participated in the Medical Natural Language Inference subtask during MEDIQA 2019
- Improved state of the art on health questions answering for GARD dataset
- Data analysis with python, stata, excel; aid lab mission to predict sudden cardiac death
- Coordinated, helped annotate >100,000 electrocardiograms from ARIC & CHS cohorts
- Assessed human-computer Interaction, accessibility barriers to use of ECG patches in home monitoring & creation of patient-generated self-tracking data in clinical studies
- Translation of grants and research designs into IRB submissions; wrote study designs
- Recruited >350 patients; 50 in 3.5 days, an RCT, field research alone at US National Alpine Championships
- Predicted SICD eligibility; Published 3 equal-1st author peer-reviewed journal articles.
- Co-author on multiple retrospective, observational peer-reviewed studies & a RCT
- Data collection: ECGs, 6-minute walk, surveys, chart reviews, device interrogations & intracardiac EGMs (including during cath-lab procedures).
- Obtained >100k ECGs from IT; equal-1st-author retrospective observational study
- Cofounder 2013, Executive Director 2014+. 300-person race raising $ for rural health EMS
- Total responsibility for P&L, logistics, legal compliance, 5-10 person team
- Live radio interviews
- Worked at >15 different clinics performing electrocardiograms, blood draws, rapid tests, in-person scheduling & billing, training of >10 new employees and process improvements
- Conducted & recorded results of V02 max exercise tests and altitude chamber studies with human subjects, processed lab specimens, subject recruiting and scheduling, data analysis
- Managed ~10 direct reports per shift in a 250k ft2 facility, first responder & responsible for safety of all students & staff, developed new hiring process to screen 700 applicants
- Aided healthcare delivery to a mainly low-income and special needs population
- Assembled outgoing prescriptions for individual patients and kept track of inventory
- Assisted in clinic-wide conversion of paper medical records to digital files
