Eric Cramer

Eric Cramer is wearing a white collared shirt, gray tie and gray blazer

Current Program Year: Grad 4
Current Student, Biomedical Engineering Graduate Program, School of Medicine
M.D./Ph.D. Program Students, School of Medicine

Chang Lab

Biography

Research Interests: Biomedical data science/artificial intelligence for precision medicine: multimodal data analysis, federated computing, agent-based modeling, computer vision & large language models

Clinical Interests: Pathology, Radiology, Dermatology

Eric is an MD/PhD student in the Quantitative Bioimaging Lab at OHSU, mentored by Dr. Young Hwan Chang and Dr. Laura Heiser. He holds a BS in Biomedical Computation and an MS in Biomedical Informatics from Stanford University. Prior to starting medical and graduate school, Eric worked in research groups at the Santa Clara Valley Medical Center (San Jose, CA), Institut Curie (Paris, France), and Stanford University (Palo Alto, CA). Eric’s work has focused on investigating links between umbilical cord biomarkers with neonatal body composition; developing statistical and machine learning models for predicting and treating chronic pain; and applications of artificial intelligence and simulation for investigating single cell behaviors within the tumor microenvironment.

When he is not busy learning about science or medicine, Eric likes to train for triathlons, travel, and spend time with friends and family.

Education and training

B.S., 2017, Stanford University
M.S., 2018, Stanford University

Fellowship: Stanford Bio X Undergraduate Research Fellow (2016), Integrated Quantitative and Experimental Cancer Systems Biology Fellowship (2024)

Memberships and Associations:

  • American Physician Scientists Association (2020-present)
  • Oregon Medical Association (2020-present)
  • Biomedical Engineering Society (2022-present)
  • American Psychological Association (2016-2019)
  • Society for Industrial and Applied Mathematics (2024-)
  • Society for Mathematical Biology (2024-)
  • Institute for Electronics and Electrical Engineers (2026-)

Additional information

ORCID: https://orcid.org/0000-0003-2085-3679

ResearchGate: https://www.researchgate.net/profile/Eric-Cramer-5

Google Scholar: https://scholar.google.com/citations?user=-rXwm0kAAAAJ&hl=en

Honors and awards

NCI Junior Investigator Travel Award (2026)

Knight Cancer Institute / Frohnmayer Hicks Sciarretta Cancer Research Scholars Program Travel Award (2025, 2026)

OHSU FLAME Award Nominations for: (1) Excellence in Research and (2) Advancement in Community Engagement  (2026)

OHSU Cancer Research Education and Training (CRTEC) Grant Writer's Workshop Scholarship (2026)

Human Tumor Atlas Network (HTAN) Travel Award (2024)

OHSU Integrated Cancer Systems Biology Program T32 (2024-2026)

American Society of Clinical Investigation Joint Meeting Travel Award (2024)

Quantitative and Systems Biology (QSB) Program Award (2023)

Integrated Mathematical Oncology (IMO) Workshop Travel Award (2023)

OHSU Medical Scientist Training Program T32 (2021-2023)

American Association of Pain Medicine (AAPM) Invited Lecture (2021)

CNRS Research Grant Recipient (2018)

American Psychological Association Outstanding Poster Presentation (2018)

CitrusHacks Social and Civic Good Award (2018)

MedHacks Wolfram Award (2017)

Stanford University Award of Excellence (2017)

Publications

Selected publications

  1. Johnson, J. A. I., Bergman, D., Rocha, H.L., Zhou, D., Cramer, E.M., et al. Human interpretable grammar encodes multicellular systems biology models to democratize virtual cell laboratories. Cell 0, (2025).
  2. Cramer, E.M., Heiser, L. M. & Chang, Y. H. Trajectory Landscapes for Therapeutic Strategy Design in Agent-Based Tumor Microenvironment Models. IEEE Control Syst. Lett. 1–1 (2026) doi:10.1109/LCSYS.2026.3697136.
  3. Cramer, E. M. et al. Temporal reassignment and correspondence evaluation with quality control for time-course imaging of 3D cell culture. Cell Reports Methods 101237 (2025) doi:10.1016/j.crmeth.2025.101237.
  4. Cramer, E.M., Seneviratne, M., Sharifi, H., Ozturk, A. & Boussard, T. Predicting the Incidence of Pressure Ulcers in the Intensive Care Unit Using Machine Learning. eGEMs (Generating Evidence & Methods to improve patient outcomes). doi:https://doi.org/10.5334/egems.307 (2019).
  5. Cramer, E.M., Ziadni, M., Scherrer, K. H., Mackey, S. & Kao, M.-C. CHOIRBM: An R package for exploratory data analysis and interactive visualization of pain patient body map data. PLOS Computational Biology 18 (ed Marz, M.) e1010496 (Oct. 2022).
  6. Gilam, G., Cramer, E.M., et al. Classifying chronic pain using multidimensional pain-agnostic symptom assessments and clustering analysis. Science Advances 7, eabj0320 (2021).

https://scholar.google.com/citations?user=-rXwm0kAAAAJ&hl=en