{"$schema":"https://raw.githubusercontent.com/jsonresume/resume-schema/v1.0.0/schema.json","basics":{"name":"Casey St. Luce, MD","label":"AI Engineer, Clinical Informatics","image":"https://saywise-production-profilepicturestoragebucket-kbfooccc.s3.amazonaws.com/profile-pictures/7891a60a-38f5-4f37-96de-b68097dfee0c/linkedin-1791255004140.jpg","summary":"Physician-trained AI engineer building EHR data pipelines and clinical AI workflows, bridging healthcare domain expertise with software development.","location":{"city":"San Francisco, CA, United States"},"profiles":[{"network":"LinkedIn","username":"caseystluce","url":"https://linkedin.com/in/caseystluce"}]},"meta":{"canonical":"https://saywise.com/member7734","version":"v1.0.0","lastModified":"2026-10-06T03:12:35.935Z"},"x_saywise":{"handle":"member7734","pronouns":null,"availability":null,"oneLiner":"Physician-trained AI engineer building EHR data pipelines and clinical AI workflows, bridging healthcare domain expertise with software development.","profileUrl":"https://saywise.com/member7734","markdownUrl":"https://saywise.com/member7734/profile.md","pdfUrl":"https://saywise.com/member7734/resume.pdf","archetype":{"code":"HS-MG","name":"Launchpad Trailblazer","url":"https://saywise.com/sca/12d1efb374a5","rarity":"One of the first Launchpad Trailblazers on Saywise"}},"work":[{"name":"Atropos Health","position":"Medical Innovation — Specialist","location":"San Francisco, CA","url":"https://atroposhealth.com","startDate":"2024-08-01","endDate":"2025-05-01","summary":"Authored 150+ observational studies on real-world EHR data using TQL, translating clinical hypotheses into queries across ICD-9, ICD-10, CPT, SNOMED, and LOINC terminologies. Reviewed peer analysts' queries for clinical accuracy and data integrity, contributed to an internal clinical definitions library. Worked with health-system investigators and life-sciences companies to refine research questions and communicate evidence limitations. Diagnosed platform and data-pipeline issues by tracing query outputs to source records."},{"name":"Whisper Health","position":"Solo Founder","location":"Philadelphia, PA","startDate":"2023-06-01","endDate":"2024-03-01","summary":"Designed, built, and launched an iOS application for anonymous peer-to-peer communication among healthcare professionals. Built a SwiftUI frontend and FastAPI backend with client-side encryption to keep user email addresses off the backend. Gathered user feedback, conducted outreach, and secured grant funding through pitches to venture-support programs."},{"name":"Center for Health Care Transformation and Innovation @ Penn Medicine","position":"Digital Health Scholar","location":"Greater Philadelphia Area","startDate":"2019-04-01","endDate":"2019-08-01","summary":"Supported development and launch of a HIPAA-compliant mobile data-collection application for clinical research, including GPS and heart-rate collection for an Urban Health Lab study of environmental stress. Generated synthetic data for an NLP chatbot pilot focused on radiation-oncology aftercare. Supported patient consent and data collection; collaborated on planning a noise-pollution health study with Philadelphia city officials."},{"name":"Lumos MD","position":"Medical Student Representative","location":"Remote","startDate":"2019-02-01","endDate":"2020-02-01","summary":"Coordinated outreach for digital medical education tools among Penn medical students, achieving a reported 20% increase in user participation. Collected user feedback to inform product improvements, proposed a flashcard-generation feature, and supported educational-module development."},{"name":"Penn HealthX","position":"Vice President of Entrepreneurship","location":"Greater Philadelphia Area","url":"https://pennhealthx.com","startDate":"2019-01-01","endDate":"2020-01-01"}],"education":[{"institution":"University of Pennsylvania School of Medicine","studyType":"Doctor of Medicine - MD","startDate":"2020-09-01","endDate":"2024-06-01"},{"institution":"Temple University","studyType":"Bachelor’s Degree in Biochemistry","startDate":"2014-09-01","endDate":"2018-06-01"}],"projects":[{"name":"VS Code Extension for TQL","description":"Built an internal VS Code extension using Claude Code to streamline authoring of observational-study queries in Atropos's proprietary query language. The tool achieved adoption across the analyst team and received recognition as the company's most impactful innovation."},{"name":"EHR-to-Narrative Pipeline","description":"Designed and built an end-to-end Python pipeline converting structured EHR records into patient narratives for experimental language-model training with Meta. Implemented record ingestion, data transformation, and LLM-based narrative generation, translating coded clinical events into coherent patient timelines organized around clinical index events."},{"name":"Conversational Query Refinement Prototype","description":"Designed and iterated prompts for an early internal multi-turn AI prototype helping users express research questions in natural language and refine study requirements. Owned prompt iteration for question clarification and TQL generation within a proposed self-service workflow for case series, cohort studies, and attrition diagrams."},{"name":"SHARP — Safe Haircuts as We Reopen Philadelphia","description":"Directed logistics for PPE distribution to more than 30 hair salons in underserved Philadelphia neighborhoods during the COVID-19 reopening. Coordinated with a team of 15+ members and organized weekly planning meetings. The project received institutional recognition and funding."},{"name":"Whisper Health","description":"Designed and launched an iOS application enabling anonymous peer-to-peer communication among healthcare professionals. Built a SwiftUI frontend and FastAPI backend with client-side encryption. Gathered user feedback and conducted outreach to inform product development."},{"name":"Mobile Clinical Data-Collection Application","description":"Supported development and launch of a HIPAA-compliant mobile application for clinical research data collection. Featured GPS and heart-rate monitoring for an Urban Health Lab study examining environmental conditions and physiological stress in Philadelphia."}],"skills":[{"name":"Artificial Intelligence (AI)"},{"name":"Real World Evidence (RWE)"},{"name":"Python (Programming Language)"},{"name":"Research"},{"name":"Teaching"},{"name":"SQL"},{"name":"TQL"},{"name":"JavaScript"},{"name":"R"},{"name":"SwiftUI"},{"name":"FastAPI"},{"name":"Jupyter notebooks"},{"name":"GitHub"},{"name":"VS Code"},{"name":"Claude Code"},{"name":"EHR data transformation"},{"name":"LLM-based narrative generation"},{"name":"Prompt design and iteration"},{"name":"Conversational AI"},{"name":"Text-to-TQL generation"},{"name":"Real-world EHR analysis"},{"name":"Observational-study queries"},{"name":"Clinical phenotype definitions"},{"name":"OMOP CDM"},{"name":"ICD-9/10"},{"name":"CPT"},{"name":"SNOMED"},{"name":"LOINC"},{"name":"RxNorm"},{"name":"FHIR"},{"name":"HL7"},{"name":"Pandas"},{"name":"NumPy"},{"name":"FlutterFlow"},{"name":"Figma"},{"name":"Excel"},{"name":"PowerPoint"},{"name":"Epic"},{"name":"CRISPR/Cas9"},{"name":"PCR"},{"name":"Gel electrophoresis"},{"name":"Immunohistochemistry"},{"name":"Zebrafish husbandry"},{"name":"Clinical research"},{"name":"Healthcare AI"},{"name":"Healthcare informatics"},{"name":"Product design"},{"name":"App deployment"}],"certificates":[{"name":"EMT-B","issuer":"National Registry of Emergency Medical Technicians"}]}