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 clinical state from medical images, fine-tuning Vision Transformer backbones across more than 25 prediction targets — laboratory analytes, vital signs, patient-reported outcomes, biological age, and mortality risk — on cohorts of up to 38,000+patients.

  • Designed the evaluation methodology for those models, covering patient-level data splits, confounder and covariate adjustment, external-cohort replication, subgroup fairness analysis, calibration, and survival analysis in R.

  • Built and maintain the group’s clinical research data infrastructure — a shared-library pipeline family that turns research patient registry extracts and EHR data into analysis-ready cohorts through automated clinical phenotyping, temporal alignment of laboratory and clinical events, and automated quality control on tables of tens of millions of records.

  • Delivered cohort construction, phenotyping, and statistical analysis for more than a dozen investigator-led studies in radiation and medical oncology — spanning cardiac toxicity, pneumonitis, small-cell and non-small-cell lung cancer, thymic health, and pulmonary hypertension — contributing to 7 published papers, preprints, and conference abstracts.

  • Validated an automated phenotyping algorithm for major adverse cardiac events against manual chart review, and curated the diagnosis and procedure code sets reused across multiple studies.

  • Extended biological-age estimation from facial photographs to laboratory-derived biological age and mortality risk through transfer learning.

  • Launched and now operate the FaceAge platform, the data-collection and inference system for 2 IRB-approved studies, enrolling 3,600+ participants and 30,000+ photographs to date, and while running IRB and IT approval in parallel.

  • Rebuilt that platform as a self-hosted application (FastAPI, PostgreSQL, React) with row-level security, encrypted storage of protected health information, queued model inference, and automated testing and deployment across three environments.

  • Kept 7 IRB-approved protocols active across MGB and the Dana-Farber/Harvard Cancer Center with zero deficiencies by independently authoring and revising protocols, consent forms, and operational documentation.

  • Opened enrollment for the interventional Lung-GAP trial (DFHCC 25-009, NCT06987890) and consented [[N]] geriatric lung cancer patients in [[N]] months by initiating the recruitment workflow and administering the screening and geriatric assessment battery.

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

  • Maintained protocol-adherent collection across [[N]] biospecimen collections from Cross-Sectional Interventional Radiology with [[N]] protocol deviations, by directing study teams on optimal collection methods and enforcing IRB requirements at the point of care.

  • Standardized sample inventory across 7 CCG projects — [[reducing intake time from N to N / resolving N unaccessioned samples]] — by driving committee discussions to consensus and writing the resulting standard operating procedures.

  • Opened [[N]] specimens and hundreds of data fields to collaborator query, enabling [[N analyses / N publications]], by designing and managing the CCG specimen databases.

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

  • Supported 100+ students in an introductory neuroscience course, by leading 10 lab sessions, running exam review sessions, and grading assignments and participation for cohorts of up to 18 across 1.5-hour labs.

  • Built lab curriculum for all 10 sessions in collaboration with the lead instructor and TA team.

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, initiating a company-wide biospecimen data merge across all major U.S.sites, by cleaning, mapping, and reformatting legacy sample metadata.

  • Supported Companion Diagnostic Assay development for high-stakes AbbVie therapeutics as part of a 4-scientist team.

  • Presented internship results to the full AbbVie 2022 intern class (20+ attendees) in a 10-minute talk.

  • Shadowed a board-certified pathologist through QC of hundreds of tissue slides and the College of American Pathologists Surgical Pathology Performance Improvement Program (CAP P.I.P.).

Skills

  • Programming & Data Analysis: Python (pandas, NumPy), R (survival, tidyverse, ggplot2), SQL, TypeScript, Rust, Bash, Git/GitHub, Linux

  • Machine Learning: PyTorch, Vision Transformers, transfer learning from foundation models, multi-task and class-imbalanced modelling, model evaluation and calibration

  • Statistics: survival analysis (Cox regression, Kaplan-Meier, log-rank, concordance index), confounder adjustment and partial correlation, bootstrap and permutation inference, multiple-testing correction, model calibration and discrimination

  • Web & Systems: FastAPI, Flask/Gunicorn, PostgreSQL, SQLAlchemy/Alembic, React, Redis/RQ, Nginx, Docker and Docker Compose, CI/CD with GitHub Actions

  • Security: row-level security, encryption of protected health information, authentication and session management, CSRF and CSP/HSTS, rate limiting, dependency and container scanning

  • Clinical & Research Data: REDCap and RPDR integration, ICD and NLP phenotyping, temporal alignment of labs and clinical events, radiation dose (EQD2) harmonization, reproducible analysis pipelines

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

  • 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)

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)