CV
Education
- B.S. in Electrical Engineering and Computer Science (Minor in Biomedical Engineering), Massachusetts Institute of Technology, 2016-2020
- M.Eng. in Electrical Engineering and Computer Science (AI Concentration), Massachusetts Institute of Technology, 2020-2021
Work Experience
- Winter 2023 - Present: Founder @ Stealth
- Working at the intersection of healthcare and AI
- Gained experience in business development, product design, web development, UI/UX, fundraising, and management. Founder in Residence at Antler (VC)
- Developed full-stack web applications with the MEVN stack (MongoDB, Express, Vue, Node.js) with retrieval-augmented generation and LLMs
- Summer 2021-Winter 2023: Data Scientist at Cellular Longevity, Inc. (dba Loyal)
- Contributed to the first-ever FDA-approved longevity clinical trial design and a variety of cross-functional research projects to bring longevity drugs to market
- Helped develop internal data science tools for use across the team
- Took leadership on the delivery of consumer-facing X-Thousand Dogs results, facilitating communication and rapid iteration between design, engineering, and user testing
- Winter 2019 - Summer 2021: Research Assistant @ MEDG Szolovits Lab
- Researched bias in medical algorithms and medical datasets
- Co-wrote a paper combining technical bias definitions and policy
- Researched pain metrics and bias in EHR data using NLP techniques in collaboration with physicians at Brigham and Woman’s Hospital (BWH)
- Spring 2018, Spring 2019, Fall 2020, and Spring 2021: Course Staff @ MIT Intro to ML (6.036)
- Lab Assistant in Spring 2018/2019, TA in Fall 2020-Spring 2021
- Helped answer student questions, give checkoffs, and simplify tricky ML topics
- Lead weekly problem-solving sections, supported students, and updated course content
- Summer 2020: Machine Learning Intern @ DeepHealth
- Worked on data visualization and experiments to increase accuracy
- Assisted with clinical trial documentation
- Summer 2019: Data Science Intern @ Centaur Labs (YC Startup)
- Analyzed user behavior with Python scripts
- Delivered insights for product improvements
- Helped start the company blog
- January 2019: Data Science Intern @ mDoc (South Africa)
- Analyzed social determinants of chronic disease from patient survey results
- Prototyped a dashboard to monitor participant compliance
- Summer 2018: Research Intern @ Philips Research North America
- Developed algorithms in MATLAB to process 3D camera data
- Created a MATLAB application to help monitor paralyzed patients
- Filed two invention disclosures and presented work at EMBC 2019
Skills
- Machine Learning
- Python
- Pandas
- Numpy
- SKLearn
- PyTorch
- Seaborn/Matplotlib
- LLMs
- Retrieval augemented generation (RAG)
- Prompt Engineering
- GitHub
- Probability & Statistics
- Inference
- SQL, MATLAB, Java, C, Linux
- Facilitation & Team Management
- Design Thinking
- Rapid Prototyping
- Writing & Teaching
- Web Development
Publications
J. Vaughn, M. Milosevic and S. Parvaneh, "Monitoring of Patient Blanket Coverage using 3D Camera Data," 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 2019, pp. 864-867, doi: 10.1109/EMBC.2019.8856522.
J. Vaughn, A. Baral, M. Vadari "Analyzing the Dangers of Dataset Bias in Diagnostic AI systems: Setting Guidelines for Dataset Collection and Usage", ACM Conference on Health, Inference and Learning, 2020 Workshop
Vaughn, J.R., 2021. Understanding Clinical Pain Management and Patient Experiences of Pain from Electronic Health Records (Master's thesis, Massachusetts Institute of Technology).
Chen, Frances L., et al. "Evaluating instruments for assessing healthspan: a multi-center cross-sectional study on health-related quality of life (HRQL) and frailty in the companion dog." GeroScience (2022).
Talks
October 09, 2015
Talk at Biomedical Engineering Society (BMES) 2015 Annual Meeting, Tampa, Florida
July 21, 2019
Conference proceedings talk at IEEE EMBC Poster Session, Berlin, Germany
April 04, 2020
Talk at Women in Data Science @ Silicon Valley, San Francisco, California (Virtual)
July 21, 2020
Talk at ACM Conference in Health, Inference, and Learning: Policy Workshop, Toronto, Canada (Virtual)
March 25, 2021
Talk at ReWork Healthcare in AI Summit, Virtual
November 09, 2022
Talk at AMIA 2022 Annual Symposium, Washington, D.C.
Teaching
Service and Leadership
MIT NEET Living Machines Founding Class
MIT PLEASURE - Healthy Relationships Peer Educator
MIT International Science and Technology Initiative (MISTI)
MIT Sandbox Innovation Fellow
Priscilla King Gray Public Service Fellow, Summer 2021
Rosy’s Place Technology Assistant
Awards
Emergent Ventures Grantee
MIT IDEAS Finalist
MIT MEMSI Entreprenuership Award
Athena Pinnacle Scholar
