Brandon Fennell, MD, MS
I am a current UCSF Internal Medicine Chief Resident seeking a Hospital Medicine position with an additional appointment in Clinical Informatics. With more than a decade of product and software development experience combined with a longitudinal passion for education and operational efficiency, I am focused on how to use emerging technology to improve the clinical and educational experiences of trainees and clinicians.
Licensure and Certification
- California Medical License · active
- DEA Registration · active
- ABIM Internal Medicine Board Certification · August 2026 examination
- BLS and ACLS · current
- National Provider Identifier (NPI) · 1720780703
- USMLE Steps 1, 2 CK, and 3 · complete
Education and Training
University of California, San Francisco — Chief Resident, Internal Medicine 06/2026 - 05/2027
Inpatient Chief Resident, San Francisco VA Medical Center
University of California, San Francisco — Internal Medicine Residency 06/2023 - 05/2026
Categorical Track; PRIME Research Pathway; Clinical Informatics, Data Science, and AI Pathway; Health Professions Educator Pathway (partial)
University of California, Davis School of Medicine — MD 08/2019 - 05/2023
Gold Humanism Honor Society
Stanford University — MS in Chemistry 08/2011 - 12/2013
National Science Foundation Graduate Research Fellow
Whitman College — BA in Chemistry 08/2007 - 05/2011
Summa cum laude; Phi Beta Kappa
Clinical Appointments
SFVA and UCSF Parnassus Fee-Basis Physician 07/2026 - present
Independent attending-level coverage on the hospital medicine service and emergency department at the San Francisco VA Medical Center, and on the hospital medicine service at UCSF Parnassus.
Clinical Skills
- Credentialed procedures · lumbar puncture, thoracentesis, and paracentesis, performed independently at UCSF hospitals after completing longitudinal R3 elective to augment baseline residency training
- POCUS · cardiac, lung, and IVC/volume assessment - daily use since R1 while on service using personal GE VScan Air SL
- Procedural teaching · designed and 3D-printed a set of simple ultrasound phantoms for ultrasound-guided peripheral IV and arterial line placement, used to teach during ICU rotations · 06/2025 - present
Clinical Informatics and AI
PanVA Clinical Documentation and Panel-Management Tool, VA Innovation Unit, Office of the Chief Technology Officer, U.S. Department of Veterans Affairs 06/2024 - present
Developed a clinical documentation and panel-management tool for inpatient and outpatient care at the SFVA. The project received a VA Innovation Unit grant to support broader development and deployment.
AI MedEd Fellow, UCSF School of Medicine 09/2025 - present
Serves as the inaugural fellow in a role focused on precision medical education across undergraduate and graduate medical education. Projects include MDDX and studies evaluating the use and validity of generative AI models in medical education.
UCSF.app Residency Operations and Learning Platform, UCSF Internal Medicine Residency 06/2026 - present
Built an expanding platform that automates clerical and operational tasks for the internal medicine program and supports AI-assisted learning, including a telemetry simulation used in didactics and soon MDDX-generated content delivered to residents.
Post-Rotation Outcomes and Results Tool, UCSF
Collaborated with Dr. Margaret Robinson and Dr. Christy Boscardin to develop data queries and automated workflows that provide residents with information about patients' clinical courses after their rotations. Manuscript in preparation.
Machine Learning and Software Developer, MILO (Machine Intelligence Learning Optimization) 07/2021 - 08/2025
MILO-ML is an automated machine-learning platform for rapidly developing binary classification models from small clinical datasets. Developed preprocessing and postprocessing pipelines for data segmentation, multicollinearity assessment, feature selection, and imputation. Detailed functionality is documented in the user guide.
Analyst and Informatician, Rashidi Group — UC Davis, Cleveland Clinic, UCSF, and University of Pittsburgh 01/2020 - 01/2025
Developed a review app for the HematologyOutlines.com Atlas and a supervised binary classifier for detecting breast cancer in parameterized pathology slides. Contributed to research studies and review articles on generative AI in medicine (see publication list).
Technical Skills and Industry Experience
Skills
- Languages — JavaScript, TypeScript, Python, Swift, R, SQL
- Frameworks and data — Vue.js, Node.js, PostgreSQL, Firebase
- Infrastructure and deployment — Google Cloud, Azure, AWS; production deployment and ongoing maintenance of web and iOS applications used by hundreds of clinicians and trainees
- Machine learning and generative AI — applied LLM integration in clinical and educational software; automated ML pipelines for small clinical datasets; evaluation of generative model output for validity in medical education
- Product — roadmap definition, cross-functional delivery, user-behavior analysis, data quality assurance
Technology Industry
Product Manager, IXL Learning 09/2015 - 06/2018
IXL is a K-12 learning platform used by 1 in 5 U.S. students. Led the Teacher Experience Team in defining and delivering tools for more than 400,000 teachers. Partnered with executive leadership and cross-functional teams spanning sales, marketing, content, design, and engineering. Developed and deployed multiple approaches to user-behavior analysis.
Product Manager and Data Team Lead, Piazza 02/2014 - 07/2015
Piazza is an online question-and-answer platform for university students and faculty, with an associated internship and career platform connecting STEM students with industry. Defined the product roadmap and led features from concept through release. Oversaw platform data integrity, managed the data QA team, and supported key accounts including SpaceX, Microsoft, and other Fortune 500 companies.
Medical Education and Teaching
Chief Resident Didactics, UCSF Internal Medicine Residency 06/2026 - present
Leads daily morning report cases and noon conference didactics for the residency, and weekly MS3 didactics covering foundational knowledge and clinical dilemmas. Incorporates experimental AI tools into these sessions, including a Codex-built telemetry simulation system used for interactive teaching.
CODA Instructor, UCSF School of Medicine 05/2025 - present
Teaches in the UCSF MS4 capstone course that prepares students for internship. Led a small elective on AI for interns in 2025 and a dedicated session for the full cohort in 2026.
Curriculum Development Committee: AI Education for Residents, UCSF Internal Medicine Residency 03/2026 - present
Collaborates with faculty in medical education and generative AI to develop foundational training materials for internal medicine residents.
Health Professions Educator Pathway, UCSF 07/2024 - present
Completes longitudinal and immersive training in clinical education, including didactics and coaching designed to strengthen teaching of medical students and residents.
Founder and Lead Developer, Omentum (independent) 08/2019 - present
Designed and developed Omentum, a free spaced-repetition learning platform and iOS app adopted by UC Davis School of Medicine for histology. Used by more than 90% of the Classes of 2023–2026, with more than 990,000 flashcard reviews completed by over 800 medical students and residents.
Doctoring 4 Facilitator, UC Davis School of Medicine 07/2022 - 05/2023
Facilitated and mentored eight second-year medical students through sessions on history taking, physical examination, and clinical reasoning. Participated in biweekly faculty-development sessions and contributed to Casez, an interactive case-based learning platform.
Prior Teaching Experience
Served as an EMT course evaluator and guest instructor (2017–2018), as well as an undergraduate and graduate teaching assistant and laboratory assistant for general and organic chemistry courses (2008–2013).
Quality Improvement
SFVA Heart Failure Readmission Reduction Project 09/2024 - 04/2025
Contributed to a PDSA-based quality improvement project focused on transitions of care between inpatient and outpatient settings. The work led to a subsequent initiative incorporating a formalized care-transition process and EHR support.
Basic Science Research
Graduate Research Assistant, Wender Group — Stanford University 08/2011 - 12/2013
Funded by the National Science Foundation Graduate Research Fellowship. Synthesized diacylglycerol-inspired scaffolds that modulated protein kinase C with nanomolar binding affinity, and developed rhodium-catalyzed [5+2] and [4+2] cycloadditions using ynol ethers as ketene equivalents.
Undergraduate Research Assistant, Götz Group — Whitman College 05/2009 - 08/2011
Funded by the Howard Hughes Medical Institute. Synthesized peptide-based inhibitors targeting Trypanosoma cruzi and alkynyl-based ligands for quantum-dot applications, and mentored junior students in organic laboratory techniques.
Undergraduate Research Assistant, Calhoun Group — Whitman College 01/2009 - 05/2009
Developed a triboelectric collagen extraction method from an industrial waste stream, achieving greater than 99.5% purity in the crude separation as measured by TGA and FT-IR.
Institutional Service and Leadership
UCSF Internal Medicine Residency Leadership Roles 06/2026 - present
Supports the Career Advancement Pool and coordinates the residency recruiting process. Organized a new R2 senior resident shadowing, coaching, and debriefing program. Serves on the search committee for a new Site Director and on learning and operational committees focused on continuous quality improvement of trainee education and program operations.
Committee for the Deployment of AI Scribes to Trainees at UCSF 07/2025 - 11/2025
Served on a multidisciplinary committee that developed institutional guidance on the appropriate use of AI scribes by graduate medical education trainees.
Medical School Admissions Committee, UC Davis 07/2022 - 05/2023
Evaluated medical school applications as a member of the UC Davis School of Medicine Screening Committee, providing timely reviews and detailed recommendations.
Wellness Committee, UC Davis 01/2020 - 05/2023
Organized both web-based and in-person activities to support mental/physical health throughout the pandemic. Advocated for the mental health needs of the class through regular meetings with school administration.
Clinic Manager and Co-Director, Bayanihan Clinic 12/2019 - 01/2021
Coordinated scheduling and operations for a 12-person medical student team and partnered with undergraduate leadership to maintain clinic operations. Led a two-week transition to telehealth in March–April 2020, provided clinical care every 2–3 weeks, handled urgent operational questions, and delivered teaching sessions for undergraduate volunteers. Example
Publications and Communications
Software and Applications
UCSF.app · ucsf.app · Fennell, B. D. 06/2026 - present
An operations and learning platform for the UCSF internal medicine residency, automating clerical and administrative workflows and delivering AI-assisted educational content, including telemetry simulation and MDDX-generated questions.
MDDX · mddx.health · Fennell, B. D., and Lin, J. 12/2025 - present
A spaced-repetition board-preparation tool that combines AI-generated multiple-choice questions with chat-based Socratic questioning and reinforcement.
PanVA · va.panva.app · Fennell, B. D., and Javaherian, K. 08/2023 - present
A clinical workflow-augmentation tool designed to complement existing VA resources and infrastructure. Received a VA Innovation Unit grant for continued development.
Atrya · atrya.app · Fennell, B. D. 09/2021 - present
A tool for managing clinical resources, research queries, and clinical responsibilities, with integrated large language models designed to improve workflow.
Casez · casez.app · Fennell, B. D. 03/2023 - present
A medical case-presentation and teaching tool supporting case-based learning.
Omentum Online Learning Platform · omentum.app · Fennell, B. D. 09/2020 - 06/2023
A spaced-repetition medical knowledge platform officially adopted by UC Davis School of Medicine.
Hematology Outlines Flashcard Review · bit.ly/3QkPl06 · Rashidi, H. H., Fennell, B. D., and Nguyen, J. C. 09/2020
A flashcard review tool for hematology topics from HematologyOutlines.com.
Publications
Rashidi, H. H., Pantanowitz, J., Hanna, M., Tafti, A. P., Sanghani, P., Buchinsky, A., Fennell, B., Deebajah, M., Wheeler, S., Pearce, T., Abukhiran, I., Robertson, S., Palmer, O., Gur, M., Tran, N. K., and Pantanowitz, L. "Introduction to Artificial Intelligence (AI) and Machine Learning (ML) in Pathology & Medicine: Generative & Non-Generative AI Basics." Modern Pathology, January 2, 2025, 100688. PMID 39755237
Rashidi, H. H., Pantanowitz, J., Chamanzar, A., Fennell, B., Wang, Y., Gullapalli, R. R., Tafti, A., Deebajah, M., Albahra, S., Glassy, E., Hanna, M., and Pantanowitz, L. "Generative Artificial Intelligence (AI) in Pathology and Medicine: A Deeper Dive." Modern Pathology, December 15, 2024, 100687. PMID 39689760
Rashidi, H. H., Ikram, A., Dang, L. T., Bashir, A., Zohra, T., Ali, A., Tanvir, H., Mudassar, M., Ravindran, R., Akhtar, N., Sikandar, R. I., Umer, M., Akhter, N., Butt, R., Fennell, B. D., and Khan, I. H. "Comparing Machine Learning Screening Approaches Using Clinical Data and Cytokine Profiles for COVID-19 in Resource-Limited and Resource-Abundant Settings." Scientific Reports, June 28, 2024, 14(1):14892. PMID 38937503
Rashidi, H. H., Fennell, B. D., Albahra, A., Hu, B., and Gorbett, T. "The ChatGPT Conundrum: Human-Generated Scientific Manuscripts Misidentified as AI Creations by AI Text Detection Tool." Journal of Pathology Informatics, October 17, 2023, 100342. Full text
Wender, P. A., Ebner, C., Fennell, B. D., Inagaki, F., Schröder, B. "Ynol Ethers as Ketene Equivalents in Rhodium-Catalyzed Intermolecular [5 + 2] Cycloaddition Reactions." Org. Lett. 2017, 19 (21), 5810–5813. doi:10.1021/acs.orglett.7b02765
Götz, M. G., Takeuchi, H., Goldfogel, M. J., Warren, J. M., Fennell, B. D., Heyes, C. D. "Visible-Light Photocatalyzed Cross-Linking of Diacetylene Ligands by Quantum Dots to Improve Their Aqueous Colloidal Stability." J. Phys. Chem. B 2014, 118 (49), 14103–14109. doi:10.1021/jp505340c
Fennell, B. D., Warren, J. M., Chung, K. K., Main, H. L., Arend, A. B., Tochowicz, A., Götz, M. G. "Optimization of Peptidyl Allyl Sulfones as Clan CA Cysteine Protease Inhibitors." Journal of Enzyme Inhibition and Medicinal Chemistry 2013, 28 (3), 468–478. PMID 22380780
Presentations
Fennell, B. D. "Exploring LLMs in Clinical Care and Education." Advanced Technologies in Simulation Education Symposium 2024. April 5, 2024.
Fennell, B. D. Education Scholarship Conference (ESCape): AI in Education: Exploring Large Language Models (LLMs) in Clinical Care and Education. March 5, 2024.
Fennell, B. D. "Use of LLMs in Daily Clinical Practice." UCSF Department of Medicine Leadership Retreat. January 26, 2024.
Fennell, B. D., Chatlos, T., and Xiong, G. "A Case of Leg Weakness and Paresthesia." UC Davis Department of Neurology Neuromuscular Conference. December 17, 2021.
Fennell, B. D., Warren, J. M. "Search for the Cure: Designing New Enzyme Inhibitors." Whitman Undergraduate Conference, Walla Walla, WA, April 12, 2011.
Fennell, B. D. "Optimization of Peptidyl Allyl Sulfones as Clan CA Cysteine Protease Inhibitors." 18th Regional Conference on Undergraduate Research of the Murdock College Science Research Program, Spokane, WA, October 29–31, 2009.
Posters and Exhibits
Fennell, B. D., and Lin, J. "MDDX: Using AI for Socratic Reinforcement Learning." AI in Education Conference at UCSF, February 2026.
Fennell, B. D. "Applications of AI in Residents' Clinical Education." AI in Education Conference at UCSF, 2025.
Fennell, B. D., and Goupil, J. M. "Casez—An Interactive Integrated Case-Based Learning Tool." ATPXo (2024 Academic Technology Expo at UCSF), IdeaLabs 2024.
Fennell, B. D., and Rashidi, H. "Foundations of Supervised Machine Learning in Clinical Predictions." Research Medical Student Research Poster Day, UC Davis School of Medicine, March 2, 2021.
Ebner, C., Jeffreys, M., and Fennell, B. D. "New Reactions and Step Economy: Metal-Catalyzed Cycloadditions for the Synthesis of Therapeutic Leads and Synthetic Building Blocks." Johnson Symposium, Stanford, CA, October 4, 2013.
Fennell, B. D., Main, H. L. "Parasites, HIV, and Cancer: Designing New Enzyme Inhibitors." Whitman Undergraduate Conference, Walla Walla, WA, April 6, 2010.
Chung, K. K., Fennell, B. D. "Optimization of Peptidyl Allyl Sulfones as Clan CA Cysteine Protease Inhibitors." 239th ACS National Meeting, San Francisco, CA, March 21–25, 2010.
Honors and Awards
- The Doctoring Award, UC Davis SOM · 05/2023
For exceptional leadership in education, curriculum, assessment, professionalism, and humanism in the development of tomorrow's doctors - Ernest M. Gold Award for Excellence in Internal Medicine, UC Davis SOM · 05/2023
- Kenneth W. & Phyllis J. Snow Endowed Award in Medicine, UC Davis SOM · 05/2023
- Dept of Cell Biology & Human Anatomy Barry F. King Memorial Award, UC Davis SOM · 05/2023
- Gold Humanism Honor Society Member, UC Davis SOM · 04/2022
- Clerkship Honors, UC Davis SOM · 05/2021 - 05/2023
Honors in 14 clerkships and clinical electives - Pre-Clerkship Letters of Distinction, UC Davis SOM · 06/2020 - 02/2021
Letters of distinction in nine preclinical blocks - Thomas Depner Award for Excellence in Nephrology, UC Davis SOM · 02/2021
- Louise M. Wong, MD Endowed Memorial Scholarship, UC Davis SOM · 02/2021
- Co-Director of the Year, Bayanihan Clinic · 05/2020
- William Eric Johnson Endowed Scholarship, UC Davis SOM · 01/2020
- ICARE Award, University of San Francisco EMT Program · 05/2017
Peer-nominated award for integrity, compassion, accountability, respect, and empathy - National Science Foundation Graduate Research Fellowship · 03/2013
- Thermo Fisher Scientific Antibody Scholarship Award · 01/2013
- Undergraduate research honors, Whitman College · 05/2011
Merck Index Award in Chemistry; Outstanding Student Researcher
Professional Memberships
- American College of Physicians
- American Medical Informatics Association
- Society of Hospital Medicine
Appendix: Clinical Training Detail
UCSF Internal Medicine Residency
Inpatient Experience
- Medicine Wards/Medicine Admitting · 12 months
- Intensive Care Unit · 4 months
- Cardiology/Cardiac Intensive Care Unit · 3 months
- Emergency Department · 1 month
- Quality Improvement · 1 month
- Procedures · 2 months
- Notable Electives: Pulmonology, neurology, gastroenterology, addiction medicine, ICU triage, bone marrow transplant, and oncology consultation
- Moonlighting: Hospital Medicine Admitting
Outpatient Experience
- Primary Care Clinic, San Francisco VA · 2.5 years
- Women's Comprehensive Health Center, SFVA · 2 years
- Rheumatology Clinic, UCSF · 1 year
- Endocrinology Clinic, SFVA · 1 year
- Oncology Clinic, SFVA · 1 year
- Urgent Care/Emergency Department, SFVA · 1 year
- Intensive Medical Education Course · 1 month
- Intensive Medical Research Design Course · 1 month