Current Fellows
2026-2028 Fellows in Clinical Informatics
Funded with generous support from the Stanford Departments of Medicine, Pediatrics, and General Surgery.
Chidi Akusobi, MD, PhD
Chidi Akusobi is an Infectious Diseases and Clinical Informatics fellow interested in the intersection of AI and infectious diseases. Originally from New York City, he graduated magna cum laude from Yale University with a degree in biology and earned an MPhil in Biochemistry from the University of Cambridge as a Gates Cambridge Scholar. He completed his MD-PhD at Harvard Medical School, where his doctoral research was supported by the Paul and Daisy Soros Fellowship and an NIH F31 award. During his Internal Medicine residency at Massachusetts General Hospital, he analyzed the use of clinical decision support for infection prevention and control, work recognized among the top 25 abstracts and honored with an Early Career Award at the 2026 SHEA Spring Conference.
He is interested in how generative AI can be safely embedded into clinical practice to strengthen clinical reasoning and streamline physician work. He currently leads a project using a large language model embedded within Stanford's Epic EHR to streamline infectious disease consult workflows.
Nick Marshall, MD, FAAP
Nick is a Pediatric Infectious Diseases physician whose work sits at the intersection of infectious diseases and clinical informatics, with a focus on diagnostic and antimicrobial stewardship.
His informatics career predates medical school, when he implemented and managed the electronic health record system for a private pediatric practice.
He completed a combined BS/MD program through the University of Akron and Northeast Ohio Medical University (NEOMED), followed by a pediatric residency at Cleveland Clinic, where he served as chief resident while practicing as a hospitalist and primary care physician.
He then came to Stanford for his Pediatric Infectious Diseases fellowship, where he received an MCHRI grant to apply machine learning and large language models (AI) to infectious diseases, developing prediction models for sepsis and antimicrobial resistance to advance diagnostic stewardship. On the operational side, he continues to serve as the informatics lead for a PCORI-funded initiative to improve outpatient antimicrobial stewardship through EHR-integrated interventions.
Deeksha Bidare, MD
Dr. Bidare is a General Surgery resident at Stanford pursuing a career in acute care surgery and surgical critical care. She studied biochemistry and cell biology at Rice University before earning her medical degree at Baylor College of Medicine. At Baylor, her research used large clinical and administrative datasets to examine disparities in vascular surgery and surgical oncology, grounding her interest in data-driven improvement.
At Stanford, Dr. Bidare's current work focuses on developing AI-enabled approaches to surgical complication reporting. Using ChatEHR within Epic, she is creating a system to automate chart abstraction and standardize identification of postoperative complications, generating reliable outcomes data while reducing documentation burden for surgical trainees and faculty.
Through the Clinical Informatics Fellowship, she hopes to gain the expertise needed to integrate informatics tools into surgical workflows and building clinical systems that improve care while reducing administrative burden for clinicians.
Jenna Reisler, MD
Dr. Jenna Reisler completed her undergraduate studies at the University of Chicago before earning her MD from the John Sealy School of Medicine at UTMB Galveston in 2023. She completed her Internal Medicine residency at UTMB, where she received the Thayer Award for Excellence in recognition of her scientific knowledge, compassion, and dedication to teaching. Throughout residency, she led multiple EHR-based initiatives focused on improving quality and patient safety and advance care planning. She also co-led a $15,000 Back to Bedside grant-funded project that developed a structured home visit program for underserved patients. During medical school and residency, she was actively involved in a student-run free clinic serving uninsured patients. Her professional interests include promoting evidence-based practice through clinical decision support, implementing scalable informatics solutions that advance health equity, and designing health information technology that reduces cognitive burden and enhances the clinician and patient experience.
2025 - 2027 Fellows in Clinical Informatics
Funded with generous support from the Stanford Departments of Emergency Medicine, Medicine, and Pediatrics, as well as a training agreement with the United States Air Force.
Austin Schoeffler, MD
Austin Schoeffler is a physician specializing in Emergency Medicine, with a strong interest in clinical informatics and digital health innovations. He earned his MD from The Ohio State University College of Medicine and completed his residency at UH/Cleveland Medical Center. During his training, he played an integral role in an Epic implementation, assisted with clinical decision support tools, and consulted on innovative projects, including the development of a novel Bluetooth ultrasound device and an AI-driven psychiatric evaluation platform for the emergency department. His current interests lie in comprehensive digital health delivery, artificial intelligence, and optimizing workflows to improve efficiency in emergency care.
Bobak (Bobby) Seddighzadeh, MD
Over the past decade, Bobak Seddighzadeh has advanced clinical informatics and precision medicine through positions at Harvard, UCSF, and the Mayo Clinic. He studied medical and population genetics at NYU, later helping launch an NIH-funded nonprofit research institute as a project director at Harvard/MGH. He attended the University of Nevada Medical School on a scholarship and completed Internal Medicine training at the Mayo Clinic, where he founded the AI and Medicine Residency Track. Now a clinical informatics fellow, he develops and evaluates AI and machine learning platforms to enhance patient care.
Danielle (Dani) Luz, MD
Dani was born in Mississippi and raised in Florida. She earned a dual degree in Biology and Psychology from Florida State University and received her medical degree from Florida International University. She completed her Pediatric residency at Rush University Medical Center in Chicago before pursuing fellowship training in Medical Genetics at Stanford University. Her clinical informatics interests include optimizing EHR workflows for specialty providers, enhancing transition-of-care for patients with rare and chronic disease through EHR-based tools, and developing protocols to integrate genomic data into the medical record in alignment with the evolving landscape of personalized medicine.
Imran Mohiuddin, MD
Imran Mohiuddin grew up along the Mississippi Gulf Coast. He received both his undergraduate and medical education at the University of South Alabama, earning a BS in Biomedical Sciences, a BA in English, and an MD. After completing an Internal Medicine residency at the University of Miami, he served as Chief Resident in Quality Improvement and Patient Safety at the Miami VA, where he helped lead several digital transformation efforts to enhance care quality and improve patient experience. He later worked as a medical advisor for a health-tech startup, offering clinical insights that helped shape product development. His current interests include developing practical frameworks for AI oversight, integrating AI models into clinical workflows, and improving patient safety through technological innovations.
Jonathan Colston, MD
Jonathan is a dermatologist and among the first in his specialty to pursue a fellowship in clinical informatics. He studied Chemical Engineering at Kansas State University before earning an M.D. from the University of Kansas. During his Dermatology residency at the San Antonio Uniformed Services Health Education Consortium (SAUSHEC), he discovered a passion for informatics while supporting a major electronic health record transition go-live. He learned to code and created scripts that automated tasks across thousands of clinical encounters. These tools were deployed across numerous Department of Defense hospitals, earning him the inaugural Innovation Award from the Association of Military Dermatologists. His prior experience includes serving as a U.S. Air Force flight surgeon and later as Chief Medical Informatics Officer for the 55th Medical Group at Offutt AFB, Nebraska. Jonathan’s interests include clinical decision support, using AI to improve workflow efficiency and reduce burnout, and developing digital health solutions for underserved populations, particularly in remote or austere environments.