Andrew Warrington

Andrew Warrington

Boston, MA | Email | GitHub | LinkedIn | ORCID | Google Scholar

Education

  • Oakton Community College — A.S. Computer Science — In Progress
  • University of Virginia — B.S. Biology and Psychology — 2023

Work experience

Brigham and Women’s Hospital, Boston, MA — October 2024 - Present
Research Assistant II - Artificial Intelligence in Medicine (AIM) Lab

  • Trained deep-learning models that predict laboratory values, vital signs, biological age, mortality risk and patient-reported outcomes from a single face photograph, fine-tuning a Vision Transformer foundation model across 25+ prediction heads, and designed their evaluation: patient-level splits, confounder adjustment, calibration, survival analysis and replication in a prospective external cohort.

  • Built and maintain the lab’s clinical-data infrastructure as one cohort-keyed pipeline family that turns research patient registry extracts of tens of millions of records into analysis-ready cohorts through ICD/NLP phenotyping, temporal alignment of labs and clinical events, and outcome labeling

  • Completed 16 data requests for 13 collaborators across the instiutionalthoracic radiation database and the FaceAge cohorts (cardiac toxicity, radiation pneumonitis, small-cell lung cancer, thymic health, pulmonary hypertension, genomics and geographic), contributing to 9 outputs: 4 journal articles (Thorax, Annals of Oncology, Nature Communications, Journal of Geriatric Oncology), 2 conference abstracts (ASCO, ASTRO) and 3 preprints.

  • Validated an automated Major Adverse Cardiac Event (MACE) phenotyping algorithm against manual chart review and curated the diagnosis, procedure and NLP code sets now reused across the lab’s cardiotoxicity studies.

  • Launched and operate the FaceAge platform, the public data-collection and inference site for two IRB-approved studies: 3,962 consented participants and 35,182 photographs to date, recruited through organic search alone (17,500 visits from 462,000 Google impressions across 153 countries, March to August 2026, 81% on mobile). Built it on Flask/Gunicorn, REDCap and Dropbox with a Redis queue and Docker across dev, staging and production on three MGB servers, then rebuilt it as a self-hosted FastAPI/PostgreSQL/React application with row-level security, encrypted PHI storage, queued inference and automated testing and deployment.

  • Kept 7 IRB protocols active across MGB and the Dana-Farber/Harvard Cancer Center with zero deficiencies by authoring and revising protocols, consents, amendments and ClinicalTrials.gov records, and opened enrollment for the interventional Lung-GAP trial (DFHCC 25-009, NCT06987890) by initiating the recruitment workflow and administering the geriatric practical assessment.

Dana-Farber Cancer Institute, Boston, MA — July 2023 - October 2024
Biospecimen Coordinator - Center for Cancer Genomics (CCG)

  • Kept biospecimen collections from Cross-Sectional Interventional Radiology protocol-adherent by directing study teams on collection methods and enforcing IRB requirements at the point of care.

  • Standardized sample inventory across 7 CCG projects by driving committee discussions to consensus and writing the resulting standard operating procedures.

  • Designed and managed the CCG specimen databases that opened specimens and hundreds of data fields to collaborator query.

UVA Psychology Department, Charlottesville, VA — August 2022 - December 2022
Teaching Assistant - PSYC 2200: The Neural Basis of Behavior

  • Supported 100+ students by leading 10 lab sessions, running exam reviews and grading; co-built the curriculum for all 10 sessions.

AbbVie, South San Francisco, CA — May 2022 - August 2022
Experiential Intern - Precision Medicine Pathology

  • Migrated records for thousands of frozen biospecimens into AbbVie’s cross-site inventory by cleaning, mapping and reformatting legacy sample metadata, initiating a company-wide biospecimen data merge across the major U.S. sites; supported companion-diagnostic assay development in a 4-scientist team and presented results to the 2022 intern class.

Skills

  • Programming & data: Python (pandas, NumPy, PyArrow, SciPy, scikit-learn, statsmodels), R (survival, tidyverse, ggplot2), SQL, Bash, Git; TypeScript and Rust for the web stack

  • Machine learning: PyTorch, Hugging Face Transformers (ViT fine-tuning from foundation checkpoints), torchvision, InsightFace/RetinaFace detection and alignment, ONNX Runtime, multi-task and class-imbalanced heads, calibration, patient-level splits, external validation

  • Statistics & genomics: Cox regression, Kaplan-Meier, concordance index, confounder adjustment, bootstrap and permutation inference, multiple-testing correction; GWAS with PLINK and regenie, VEP annotation, polygenic-score anchoring

  • Clinical data engineering: RPDR, REDCap API, OncDRS/DNAnexus, ARIA/Eclipse DVH exports, Biobank metabolomics (Nightingale NMR) and WES linkage; ICD/NLP/code-list phenotyping, temporal alignment of labs and events, EQD2 dose harmonization, address validation (Geocodio), EXIF/HEIC photo provenance, rsync/rclone data migration with checksum verification

  • Web & systems: Flask/Gunicorn, FastAPI, PostgreSQL, SQLAlchemy/Alembic, React, Redis/RQ, Celery, Nginx, Docker Compose (dev/staging/prod), GitHub Actions; Dropbox and REDCap integrations

  • Security & compliance: row-level security, encrypted PHI storage, CSRF/CSP/HSTS (Flask-Talisman), rate limiting, dependency and container scanning; IRB protocol authorship across DF/HCC (iRIS, OnCore) and MGB (Insight), ClinicalTrials.gov PRS

Relevant Coursework

  • Oakton Community College: Computer Science I, Calculus II, Discrete Mathematics, Data Structures, Calculus III, Introduction to Linear Algebra, Ordinary Differential Equations, Objects and Algorithms
  • UVA: Machine Learning & Data Mining, Intro Data Science w/ R, Statistics for Biologists, Research Methods and Data Analysis I & II, Calculus I, Physics I & II w/ Lab, Genetics and Molecular Biology, Psychobiology Laboratory

Honors & Awards

  • Oakton Community College:
    • Joe and Mary Chandler Scholarship Fund 2024 Recipient

Selected Projects and Presentations

  • Websites
    • FaceAge — clinical research platform for two IRB-approved studies at Mass General Brigham

Publications

  • Association of pulmonary artery radiation with pulmonary hypertension after lung cancer radiotherapy — Thorax (Published)
  • Thymic radiation is associated with worse outcomes in patients with NSCLC — Annals of Oncology (Published)
  • Cardiac Risk, Outcomes, and Management Among Older Adults with Stage I-II NSCLC Undergoing Stereotactic Body Radiation Therapy — Journal of Geriatric Oncology (Published)
  • An agentic AI system enhances clinical detection of immunotherapy toxicities: a multi-phase validation study — medRxiv (Preprint)
  • Multimodal Modeling of CCI, FaceAge, Thymic Health, and OS Among Older Adults with Early-Stage NSCLC Undergoing SBRT — ASCO (Published)
  • Face Aging Rate: Artificial Intelligence-based Quantification of Temporal Changes in Biological Age as a Prognostic Biomarker in Cancer Patients — Nature Communications (Published)
  • Cardiac Risk, Outcomes, and Management among Older Adults with Stage I-II NSCLC Undergoing Stereotactic Body Radiation Therapy — International Journal of Radiation Oncology, Biology, Physics (ASTRO) (Published)
  • Foundation Artificial Intelligence Models for Health Recognition Using Face Photographs (FAHR-Face) — arXiv (Preprint)
  • Association of Pulmonary Artery Radiation with Pulmonary Hypertension after Lung Cancer Radiotherapy — SSRN (Preprint; published in Thorax, Aug 2026)

Teaching

  • Teaching Assistant - PSYC2200: The Neural Basis of Behavior
  • Discussion Facilitator - Effective Altruism @ UVA

Service and Leadership

  • Vice President of the Genomics Society @ UVA
    • Marketing and Outreach Officer 2020-2022; Vice President 2022-2023.
  • Director of Activism and Awareness, UAID @ UVA
    • Joined the UVA chapter in Fall 2020; became Director of Activism and Awareness in Fall 2021.
  • Philanthropy Chair for Sigma Nu Beta Chapter
    • Elected 2021 philanthropy chair for the Beta Chapter of Sigma Nu.
  • Effective Altruism @ UVA
    • Selected for a semester-long Effective Altruism Fellowship in Spring 2021; trained as a discussion facilitator for subsequent semesters.
  • Mental Health Crisis Line Volunteer
    • Volunteered at HELP Line, a 24/7 confidential telephone hotline serving Albemarle County and UVA students (open to callers nationwide).
    • Completed an intensive semester-long training program in crisis intervention and active listening.
    • Provided empathetic, non-judgmental support to callers on mental health, relationship, and related concerns, and connected them with long-term resources and professional services.
  • UVA Hospital Volunteer
    • Volunteered in the UVA hospital’s Interventional Cardiology recovery unit
  • Habitat for Humanity Charlottesville Volunteer
    • Volunteered with Habitat for Humanity Charlottesville building homes for families in need.

Language

  • Spanish
    • B1 (Intermediate)