Skip to Main Content
Emergency Medicine
YSM Home

INFORMATION FOR

Meet Our Fellows

Current Fellows

  • Kent McCann, MD

    Instructor of Emergency Medicine

    • Specialty: Emergency Medicine, Palliative Care

    • Medical school: University of Massachusetts T.H. Chan School of Medicine

    • Residency: Baystate Medical Center

    • Other Fellowship: Palliative Care, St. Luke's Health Network

    • Why Yale? I chose Yale for the breadth of opportunities within the program and the diversity of careers its prior fellows have gone on to pursue, spanning academic research, health system leadership, and industry. I knew I wanted training with exposure to cutting-edge research as well as hands-on, system-level operational experience. The Yale VA program offered both, and the strength of the mentorship made it an easy decision.

    • Current projects: Much of my research centers on medical event foundation models and their applications in clinical prediction tasks, with a particular focus on how these models can inform decision-making at the point of care. Alongside that work, I evaluate newly implemented clinical AI tools in real-world settings, contribute to large federated cohort research, and develop operational applications of large language models, including tools for identifying possible gaps in care.

    • Career goals: After fellowship, I plan to build a career that pairs clinical practice in emergency medicine and palliative care with continued cutting-edge research in clinical informatics. My central goal is to advance medical event foundation models from research settings into real-world use, leading their implementation and evaluation at the health system level.

    Read More
  • Olga Reykhart, MD, BA

    Clinical Fellow

    • Specialty: Emergency Medicine

    • Medical school: Stony Brook

    • Residency: Yale-New Haven

    • Why Yale? I chose this fellowship for the breadth of experience it offers across two distinct systems: Yale's Bioinformatics and Data Science Department and the VA's health care infrastructure. Working within both allows me to compare approaches to informatics in practice and fine-tune my own career direction. I was also drawn in by Yale's interconnected network of hospitals, which offers valuable insight into how informatics initiatives actually play out across a large, diverse health system.

    • Current projects: So far I've been working on a collaborative project between Yale's Emergency Medicine and Neurology departments to build a tool that helps expedite and reliably track dual antiplatelet therapy (DAPT) for minor stroke patients, so the treatment isn't missed during time-sensitive transitions of care. In parallel, I've gotten to building clinical pathways in Epic and completing Epic's Physician Builder certification at the end of my first month of training.

    • Career goals: My long-term career goals are still taking shape, which is part of why the breadth this fellowship offers appealed to me in the first place. I'm particularly interested in world models and the implications of AI for medical decision-making and care management. I'm also drawn to the intersection of informatics and simulation and the processes by which new devices and prototypes move from concept into real clinical implementation. I'm looking forward to using the fellowship's range of experiences to sharpen these interests and find where I can make the most impact.

    Read More

A Typical Week

Monday

  • VA informatics operations
  • Programming and analytics seminar

Tuesday

  • ACCELERATE lab meeting
  • BIS 560: Introduction to Clinical and Translational Informatics
  • Yale New Haven Health Enterprise Informatics governance meeting

Wednesday

  • VA informatics operations
  • Programming and analytics

Thursday

  • BIS 560: Introduction to Clinical and Translational Informatics
  • Protected research
  • Faculty mentorship

Friday

  • Clinical Practice

Former Fellows

  • Mark Iscoe, MD, MHS

    Assistant Professor of Emergency Medicine and Biomedical Informatics and Data Science

    Dr. Iscoe is an assistant professor of Emergency Medicine and Biomedical Informatics & Data Science. In his research, he applies informatics techniques including real-world data analysis, natural language processing, and predictive modeling to various aspects of emergency care, with a focus on clinical decision-making in areas of diagnostic uncertainty or practice variation. Along with Dr. Daniella Meeker, he co-teaches CBB 576: Foundations of Real-World Data. He practices clinically at the Yale New Haven Hospital, Yale New Haven Hospital St. Raphael Campus, and Shoreline Medical Center emergency departments.
    View Full Profile
  • Bashar Kadhim, MD, MHS

    Assistant Professor Adjunct; Informatic Consultant, Nephrology

    Bashar A. Kadhim, MD, MHS is a Clinical Informatics Specialist and attending hospitalist at Yale New Haven Hospital and Yale Medicine, and an ACGME-accredited Clinical Informatics fellow. His work sits at the intersection of clinical care, health information technology, and translational research — with a focus on developing real-time clinical decision support systems, scalable healthcare data infrastructure, and multi-center research informatics frameworks. Dr. Kadhim holds comprehensive Epic certification across the full technology stack — including Chronicles, Clarity, Caboodle, Cosmos, FHIR, and Bridges — and has applied this expertise to deploy validated predictive algorithms and dynamic medication guidance tools directly within the EHR at the point of care. His CDS systems include a real-time logistic regression model evaluating 14 clinical parameters to predict 1-year patient mortality, and a CKD phenotyping alert that delivers provider-facing KDIGO heatmaps and individualized medication class recommendations. He serves as Informatics Director at Yale's Clinical and Translational Research Accelerator (CTRA), where he leads data infrastructure development for multi-institutional clinical trials including PROMPT-Lipid and the PROMPT-CKD study. Dr. Kadhim's additional expertise spans OMOP CDM pipeline development, REDCap API automation, biomedical large language model deployment for clinical NLP, and eye-tracking research — the latter forming the basis of his master's thesis on clinician fatigue monitoring, with planned future application to CDS user experience evaluation. He has authored publications in JAMA, JASN, JACC, and other leading journals.
    View Full Profile
  • Naga Sasi Kanaparthy, MBBS, MPH, MHS
  • Andrew Loza, MD, PhD

    Assistant Professor

    Andrew Loza is a physician-scientist whose research focuses on predictive analytics and population health. He received his PhD from Washington University in St. Louis in biophysics studying mechanisms of collective cell migration using time lapse microscopy, computer vision, and simulation. He completed his MD degree at the Yale University School of Medicine and residency in Internal Medicine – Pediatrics also at Yale. After residency, he completed a Clinical Informatics fellowship in the ACGME Yale/VA program and a postdoctoral fellowship in the VA Biomedical Informatics program. He is an Instructor in the Department of Biomedical Informatics and Data Science and Department of Pediatrics. The Loza Lab focuses on development of statistical and deep learning methods to leverage Real-World Data to improve clinical care with a focus on multimodal medical foundation models. Lab Website: https://www.lozalab.org/
    View Full Profile
  • Michael Simonov, MD

    Lecturer in Biostatistics (Health Informatics); Director of Informatics, Clinical and Translational Research Accelerator (CTRA); Medical Information Officer for Research, Yale New Haven Health System, Yale New Haven Health System

    Michael Simonov is an internist and clinical informaticist. He attended the University of Michigan graduating with honors in mathematics. He then attended medical school at the University of Michigan prior to completing medical internship and residency at Yale.His primary interests include health care analytics, including predictive and prescriptive analytics using data from the electronic health record. His objectives are to combine his medical, mathematical and computational backgrounds to solving operational and research questions in healthcare.He served as the Director of Informatics at the Clinical and Translational Research Accelerator (CTRA) within the Department of Medicine working on a variety of interventional data science projects. He also served as a Medical Information Officer for research for the Yale New Haven Health System. He is currently adjunct at Yale.
    View Full Profile
  • Donald Wright, MD, MHS

    Clinical Fellow of Biomedical Informatics and Data Science

    Dr. Donald Wright is a practicing emergency physician and post-doctoral research fellow in the National Library of Medicine Biomedical Informatics and Data Science Training Program. He received his MD from Vanderbilt School of Medicine then completed his emergency medicine residency and clinical informatics fellowship at the Yale School of Medicine.
    View Full Profile