Hudson is a native of Coppell, TX who completed his B.S. in Biomedical Sciences and a Minor in Business at Auburn University. He then matriculated to Baylor College of Medicine where he received his Doctor of Medicine. Hudson is a current General Surgery resident at Vanderbilt University Medical Center with plans to pursue fellowship in Cardiothoracic Surgery. Hudson’s interests are in translational and clinical informatics, specifically with applications to thoracic oncology, operative techniques, and surgical resident education.

Google Scholar: Hudson M. Holmes, MD
LinkedIn: Hudson M. Holmes, MD

Kevin Guo is a PhD student in the Department of biomedical Informatics at Vanderbilt University. Prior to his PhD, Kevin completed his BS in Computer Science at the University of Southern California in 2025 and interned in the Vanderbilt Biomedical Informatics Summer Program in 2023.

Kevin's work is funded by the National Library of Medicine T15 Training Grant and the prestigious National Science Foundation Graduate Fellowship. His research is broadly interested in creating robust and trustworthy machine learning systems for healthcare. Currently, he is exploring LLM uncertainty in clinical decision making as well as synthetic data to ensure data privacy and algorithmic fairness in biomedical data sharing.

Personal site can be found at: kevin-guo.dev
Google Scholar: scholar.google.com/citations?hl=en&user=3VM1a_oAAAAJ

Jasleen received a bachelor of science degree from West Virginia University (May 2020) and a master of science degree (Aug. 2022) at West Virginia University. Jasleen was an application developer in the Division of Infectious Diseases at VUMC. Her mentor is Dr. Adi Bejan, and her funding is provided through one of his research grants. She is pursuing a PhD and joined DBMI in Fall 2025.

Google scholar: https://scholar.google.com/citations?user=K0Ihje0AAAAJ&hl=en
LinkedIn: https://www.linkedin.com/in/jasleen-gandhi/

Mike Enger, MS, is a PhD student in the Department of Biomedical Informatics, supported by the National Library of Medicine’s T15 training grant. He earned his MS in Health Informatics & Analytics from the University of North Carolina at Charlotte (August 2024) after completing a BS in Psychology at Appalachian State University (August 2018). He joined DBMI in Fall 2025.

Mike also maintains a part-time affiliation with RTI International, where he supports a CDC-funded research network that conducts neuromuscular disease surveillance using electronic health record data.

LinkedIn: linkedin.com/in/mike-enger/
ResearchGate: researchgate.net/profile/Mike-Enger-2
RTI Experts page: rti.org/expert/mike-enger

Nikita Amanna, MS is a PhD student within the Department of Biomedical Informatics. She has a bachelor’s degree in Computer Science from the University of North Carolina at Charlotte and a Master’s degree in Data Science from the University of Virginia. She worked at Vanderbilt University Medical Center as a Statistical Genetic Analyst in the Genetic Epidemiology Lab, headed by Dr. Melinda Aldrich.

Nikita is funded by the National Library of Medicine T15 Training Grant. She is interested in applying novel computational methods to assist in early detection, screening, diagnosis, and care of disease.

Ransom Wyse, MPH, CPH, is an epidemiologist, Bloomberg American Health Initiative Fellow, and part-time DrPH student at the Johns Hopkins University Bloomberg School of Public Health. Since late November 2024, Ransom has been working on Dr. Alvin Jeffery’s team as a Research Term Professional in the functional role of Program Manager. His general job requirements include Program Management, i.e. planning, organizing, and managing resources to bring about the successful completion of specific goals, an ability to monitor costs, expenses and revenue as well as the ability to manage those costs and expenses in relation to budgeted amounts, Process Improvement, i.e. identify, analyze and improve upon existing business processes for optimization and to meet standards of quality, Peer Leadership, i.e. the ability to show leadership and influence people of equal rank in an effort to accomplish team goals, Networking, i.e. build relationships through industry contacts, professional organizations and individuals, and Quality Management, i.e. develop a systematic process of checking to see whether a process or service is meeting specific requirements. Ransom has been working on aspects of our DP1 grant, “Framework to Accelerate Substance Use Disorder Genetic Studies through Customizable, EHR-Based Precision Phenotyping,” including writing an article regarding natural language processing and writing a brief communication comparing patient survey output to clinical information in the EHR. His work directly contributes to the mission of VUMC via his expertise; his analytics and interpretations of our research findings will inform best-practices for SUD identification in an at-risk population, which can be used by the scientific and clinical community to improve patient healthcare. 

PubMed

Dr. Joshua Landman is a VGM postdoctoral fellow and a research fellow in the Below Lab with broad interests in data science and biomedical informatics, relating to applying both novel and extant methods toward building models that predict a wide variety of outcomes. He joined the Below Lab in 2023 and the VGM Training Program in 2025. Dr. Landman’s current research focuses on developing machine learning and statistical methods for multi-omics approaches to gene discovery for a wide variety of phenotypes. His long-term goal is to develop a research program integrating electronic health records, and multi-omics data to develop clinical outcome prediction models that encompass the broadest possible array of factors that contribute to health.

Adithya Pamulaparthi is an engineer with a focus on embedded systems and Edge AI. After earning his Master's degree in Electrical and Computer Engineering from Vanderbilt University in 2024, he joined VUMC as a Clinical/Translational Research Coordinator I under Dr. Bryan Steitz. In this role, he contributes to the development of firmware and hardware for large-scale, real-time sensor solutions in medical applications. 

Google Scholar

Emmaline Raven received a Master of Science and Bachelor of Science in Bioinformatics and Computational Biology from Worcester Polytechnic Institute. She works as a Research Analyst in the Wei-Qi Wei lab in the Department of Biomedical Informatics. 

Katie Hilty joined as Project Manager in February 2025 supporting Wei-Qi Wei.