--- name: James Weatherhead title: MD/PhD/MPH Candidate, UTMB John Sealy School of Medicine email: jamescharlweatherhead@gmail.com email_academic: jacweath@utmb.edu github: https://github.com/JamesWeatherhead linkedin: https://www.linkedin.com/in/james-weatherhead-7ab4b9321/ canonical: https://james.jcweatherhead.com/resume/ pdf: https://james.jcweatherhead.com/resume/James_Weatherhead_CV_2026-06-25.pdf updated: 2026-06-25 --- # James Weatherhead — Curriculum Vitae MD/PhD/MPH candidate at UTMB building clinical AI. Physician-scientist focused on privacy-preserving deployment of large language models in real hospital workflows. - **Email:** jamescharlweatherhead@gmail.com · jacweath@utmb.edu - **GitHub:** https://github.com/JamesWeatherhead - **LinkedIn:** https://www.linkedin.com/in/james-weatherhead-7ab4b9321/ - **PDF:** [James_Weatherhead_CV_2026-06-25.pdf](https://james.jcweatherhead.com/resume/James_Weatherhead_CV_2026-06-25.pdf) ## Education **UTMB John Sealy School of Medicine — MD/PhD/MPH** · Galveston, Texas · *Expected MD graduation: 2029* Doctoral advisor: Peter McCaffrey, MD, MS, FCAP (Chief AI Officer, UTMB). PhD candidate; on track to defend dissertation by December 2026, then returning to MS3 clinical rotations. - USMLE Step 1 (Passed) - PhD Qualifying Examination (Passed) - Advanced to PhD Candidacy (Application Approved) **St. Mary's University — BS Biology, Minor in Chemistry** · San Antonio, Texas · *Graduated: 2021* - NCAA Tennis Student-Athlete ## Doctoral Research **Dissertation focus: Privacy-preserving deployment of large language models in clinical workflows.** Healthcare AI systems can operate under HIPAA Business Associate Agreements (BAAs), but most external tools — including web search and current-literature retrieval — are not BAA-covered. Any query containing protected health information (PHI) must therefore be reliably de-identified before it leaves a secure environment. Insufficient de-identification forces a tradeoff between PHI exposure risk and restricted external-tool access, a primary driver of unsanctioned "shadow AI" usage in healthcare. The dissertation evaluates and improves this boundary through three contributions: - **ASQ-PHI:** an adversarial synthetic-data benchmark for clinical PHI de-identification, evaluating rule-based, cloud-based, vector-based, and on-device (Ollama) approaches (peer-reviewed; AMIA 2026 Amplify poster). - **K-anonymity decay analysis** quantifying identifiability erosion across multi-turn clinical LLM conversations (peer-reviewed). - **Local PHI Scrubber:** a Chrome extension performing on-device, human-in-the-loop PHI redaction using small language models (3–4B parameters), enabling zero data transmission while preserving access to external tools (AMIA 2026 Amplify oral presentation, Session CI25). ## Research & Clinical Experience **UTMB / Microsoft AI Hackathon Participant — Medical Imaging Cohort Creation with Natural Language** · *September 2025 – Present* - Selected for a collaboration between UTMB and Microsoft Research. - Contributed to an NLP-based cohort-discovery platform addressing a critical bottleneck: traditional imaging cohort creation requires weeks of coordination between PACS administrators, data-warehouse teams, and radiologists. - Participated in a semantic-search architecture using medical image embeddings and radiology report indexing on Azure. - Collaborated with Microsoft engineers on a multimodal pipeline combining DICOM metadata, HL7 clinical data, and unstructured imaging reports. **Research Assistant to Peter McCaffrey, MD, MS, FCAP (Chief AI Officer, UTMB)** · UTMB John Sealy School of Medicine, Galveston, TX · *June 2024 – Present* - Co-developed **AutoTox**, an AI-powered toxicology interpretation system deployed in UTMB clinical pathology workflow (featured in a Retool case study, September 2024). - Develop HIPAA-compliant semantic search and AI-agent infrastructure for clinical content discovery in governed environments. - First author on two peer-reviewed 2026 publications (PHI de-identification benchmarking; multi-turn clinical LLM privacy) and co-author on a third (LLM evaluation on neurology board-style questions). **AI Researcher, Thrive AI Health (OpenAI Startup Fund-backed)** · San Francisco, CA · *July 2025 – October 2025* - Built biological-age prediction models from wearable-sensor and biomarker data. - Designed AI agents with LangGraph to analyze wearable health data and recommend personalized interventions. - Integrated wearable data from Junction into AI analysis pipelines; deployed Python code to iOS and Android app stores; debugged agent interactions with LangSmith tracing. **Research Assistant to Stephen Molldrem, PhD** · UTMB, Galveston, TX · *October 2022 – January 2024* - Analyzed effectiveness of the Community Health Integrated Response Portal (CHIRP) digital health platform. - Integrated vaccination rates, community-partner data, and CDC Social Vulnerability Index (SVI) metrics. Presented at the National Student Research Forum 2023 and IPEP Symposium 2023. **Research Assistant to Amina El Ayadi, PhD** · UTMB, Galveston, TX · *October 2022 – January 2024* - Investigated lipid biomarkers in neuroinflammation using murine burn-injury models; systematic reviews and statistics in R and SPSS. **Research Assistant to Terry Shackleford, PhD** · St. Mary's University, San Antonio, TX · *August 2019 – April 2022* - Laboratory testing of anti-cancer drugs on pediatric sarcoma cell lines; dose-response and IC50 analysis. **Research Internship — ELM Lab, UT Dell Medical School** · Austin, TX · *June – August 2019* - Meta-analysis of memory enhancement in treatment-resistant epilepsy patients with deep brain stimulation (DBS); authored a case report on DBS outcomes in a patient with comorbid OCD and autism spectrum disorder. ## Publications 1. Weatherhead J, Hasan A, Weatherhead J, Golovko G, Grant B, Garcia JD, Certuche HS, Powell RP, Abril JM, McCaffrey P. **K-anonymity decay in multi-turn clinical large language model conversations.** *Frontiers in Digital Health.* 2026;8:1832168. doi:[10.3389/fdgth.2026.1832168](https://doi.org/10.3389/fdgth.2026.1832168) 2. Weatherhead J, Golovko G, McCaffrey P. **ASQ-PHI: An adversarial synthetic data benchmark for clinical de-identification and search utility.** *Data in Brief.* 2026;65:112586. doi:[10.1016/j.dib.2026.112586](https://doi.org/10.1016/j.dib.2026.112586) 3. Almomani M, Valaparla V, Weatherhead J, Fang X, Dabi A, Li C-Y, McCaffrey P, Hier D, Rodríguez-Fernández JM. **Evaluation of multiple generative large language models on neurology board-style questions.** *Frontiers in Digital Health.* 2026;7:1737882. doi:[10.3389/fdgth.2025.1737882](https://doi.org/10.3389/fdgth.2025.1737882) ## Presentations and Invited Talks - **2026 AMIA Amplify Conference** (Denver, CO · May 19, 2026) — Oral: "Local PHI Scrubber: A Chrome Extension for On-Device PHI Redaction in Clinical LLM Workflows" (Session CI25). Poster: "ASQ-PHI: An Adversarial Synthetic Benchmark for Clinical PHI De-Identification." - **Digital Pathology Association Conference** (October 2025) — "Beyond Digital Pathology: Leveraging AI to Improve Cancer Detection and LLMs to Personalize Care." - **Retool Summit** (2024) — "How UTMB Improved Diagnostic Testing for Thousands of Patients Using AI." - **Perplexity AI HQ, San Francisco** (2024, invited) — HIPAA-compliant semantic search for clinical content discovery. - **2026 AI in Health Conference (AIHC), Rice University** (Houston, TX · Sept 15–17, 2026) — Poster: "Agentic AI-Assisted Real-World Evidence Analysis Identifies EBV-Specific Neurovascular Risk after Corticosteroid Exposure in Older Adults." ## Honors and Awards - **Winner, Google DeepMind Gemini 3 Pro Vibe Coding Hackathon (Kaggle)** — March 2026. One of 50 winners from 4,096 global submissions (UTMB affiliation). Built **VibeRad**, a next-generation DICOM viewer in which AI agents educate, explain, and guide students through medical images. Cited by UTMB President and CEO Jochen Reiser, MD, PhD in his June 2026 communication on UTMB's enterprise AI initiative. ## Selected Press and Media - **UTMB News** — "UTMB AI Innovators Win International Hackathon with Radiology Viewer and Teaching Tool" (June 26, 2026). - **Microsoft Healthcare and Life Sciences Blog** — "Using Natural Language to Build Healthcare Imaging Cohorts for Research" (December 2025). Named as a contributor on the UTMB / Microsoft Research collaboration. - **Retool Case Study** — "How UTMB Improved Diagnostic Testing for Thousands of Patients Using AI" (September 2024). Co-credited as lead engineer on AutoTox; reduced toxicology sign-out time by 66% and increased pathology review throughput tenfold. ## Teaching - **Guest Lecturer, NTD 6088: Independent Study on AI Agent Systems for Biomedical Research** (UTMB Graduate School of Biomedical Sciences, Spring 2026) — delivered "Agentic Coding with Claude Code" on agentic coding workflows using the Claude Code CLI. ## Leadership and Service - **Co-President and Co-Founder, AI in Medicine Student Organization, UTMB** (Aug 2022 – Dec 2024) — bi-weekly meetings on AI in healthcare; coding camps for K-12 students. - TMA Delegate and Co-Chair, Texas Medical Association Leadership Committee (2023–2024). - Committee Member, AMA Committee on Health Information Technology (2023–2024). - Student Ambassador, UTMB School of Medicine (2022–2024). - Clinical volunteering: St. Vincent's Hope Clinic, Luke Society Clinic, Street Medicine Student Organization. - Co-President and Co-Founder, STEM Outreach RSO, St. Mary's University (2019–2021); COVID-19 outreach, San Antonio Food Bank (2020–2021). ## Professional Memberships and Competitions - **OpenAI Forum, Member** (June 2026 – Present). - **Kaggle, Competitions Participant** (June 2024 – Present): NVIDIA Nemotron Model Reasoning Challenge (LoRA fine-tuning of Nemotron-3-Nano-30B via Hugging Face, Unsloth, TRL); Google DeepMind Vibe Code with Gemini 3 Pro (Winner); OpenAI AI Agent Security Multi-Step Tool Attacks (LLM agent red-teaming, adversarial prompt injection). ## Skills, Certifications, and Training - **Languages:** Python, SQL, R. - **AI/ML:** LangGraph, LangChain, LangSmith, multi-agent orchestration, LLM API integration, vector databases, embedding models, on-device LLMs (Ollama). 4+ years applied AI/NLP; 3+ years with PubMed NCBI APIs. - **LangChain Academy:** Monitoring Production Agents (Apr 2026); Ambient Agents with LangGraph (Feb 2026); Deep Research with LangGraph (Feb 2026); Deep Agents (Feb 2026); Agent Observability & Evaluations (Jan 2026); LangGraph Essentials (Jan 2026); Introduction to LangChain (Dec 2025). - **Emerald Cloud Lab, Level 1 Certification** (Nov 2024) — robotic laboratory automation.