About me

Biography

I am a physician-scientist studying neuroinflammation after stroke, with a focus on haemorrhagic stroke — a leading cause of death and long-term disability worldwide. My research aims to identify mechanisms of secondary neurological injury and translate these into targeted treatments, with the goal of making stroke a treatable disease.
I completed my BS and MS degrees at Yale University in Molecular, Cellular, and Developmental Biology, where I studied the pathogenesis of vascular disease and gained training in machine learning. During my subsequent medical training at the University of Cambridge, I also investigated the immunology of stroke and its complications, including post-stroke epilepsy.
I serve on the Steering Committee of the UK Stroke Research Workshop and on the European Stroke Organisation Post-Stroke Epilepsy Guideline Working Group.

Research

Research and publications

My work spans stroke, neuroinflammation, clinical machine learning, and vascular biomechanics. Publications are grouped by theme below.

Neuroinflammation and Biomarkers in Stroke Intracerebral hemorrhage, post-stroke seizures, immune signatures, and biofluid biomarkers. 10 papers
  1. Single-Cell Analysis of Microglia and Monocyte Dynamics Uncover Distinct TNF-alpha-driven Neuroimmune Signatures after Intracerebral Hemorrhage Y. Kawamura, C. W. Johnson, J. DeLong, L. P. de Lima Camillo, et al. bioRxiv, 2026.
  2. Biofluid Biomarkers of Ischaemic Penumbra in Acute Ischaemic Stroke: A Systematic Review and Meta-Analysis Y. Kawamura, D. S. Liebeskind, S. Misra, E. I. Khan, et al. medRxiv, 2026.
  3. Characterizing inflammatory biomarkers in post-stroke seizure risk and outcome prognostication E. Y. Wang, S. Misra, J. Yan, P. Y. Chook, Y. Kawamura, et al. PLoS One, 2026.
  4. Pharmacological strategies for preventing post-stroke seizures and epilepsy Y. Kawamura, E. Trinka, T. J. Quinn, H. C. A. Emsley, et al. Frontiers in Neurology, 2026.
  5. DWI-Positive Lesions in Acute Intracerebral Hemorrhage and Their Correlation With Small Vessel Disease: A Cohort Study S. Hosoki, T. Tanaka, Y. Kawamura, S. M. M. Bhaskar, et al. Neurology, 2025.
  6. Prognostic biomarkers of intracerebral hemorrhage identified using targeted proteomics and machine learning algorithms S. Misra, Y. Kawamura, P. Singh, S. Sengupta, et al. PLoS One, 2024.
  7. Prognostication of Outcomes in Stroke Patients Using Inflammatory Biomarkers: Findings from the Yale Post-stroke Epilepsy Research Group E. Wang, S. Misra, J. Yan, P. Y. Chook, Y. Kawamura, et al. Neurology, 2024.
  8. Management of poststroke epilepsy: an update Yuki Kawamura, Nitya Beriwal, Shubham Misra, Nishant K. Mishra. Practical Neurology, 2024.
  9. Machine Learning in Action: Stroke Diagnosis and Outcome Prediction V. Abedi, Y. Kawamura, J. Li, T. G. Phan, R. Zand. Frontiers in Neurology, 2022.
Clinical AI and machine learning Time-series modelling, clinical prediction, implementation barriers, and decision support. 5 papers
  1. Trajectory flow matching with applications to clinical time series modelling X. N. Zhang, Y. Pu, Y. Kawamura, A. Loza, Y. Bengio, D. Shung, A. Tong. NeurIPS, 2024.
  2. Validation of an Electronic Health Record-Based Machine Learning Model Compared With Clinical Risk Scores for Gastrointestinal Bleeding D. L. Shung, C. E. Chan, K. You, S. Nakamura, T. Saarinen, et al. Gastroenterology, 2024.
  3. Many Models, Little Adoption: What Accounts for Low Uptake of Machine Learning Models for Atrial Fibrillation Prediction and Detection? Y. Kawamura, A. Vafaei Sadr, V. Abedi, R. Zand. Journal of Clinical Medicine, 2024.
  4. Translating AI to the Bedside with Physician Buy-In: Recommendations from a Meta-Analysis and Systematic Review of the Literature G. Hwang, S. S. Hejazian, A. Vafaei Sadr, J. K. Wagner, P. Hao, et al. Bioengineering, 2025.
  5. 271: External validation of an electronic health record-based deep learning model for automated rapid risk stratification of patients presenting with acute gastrointestinal bleeding D. Shung, M. Simonov, C. Tsay, Y. Kawamura, C. M. Partridge, P. Thomas, et al. Gastroenterology, 2022.
Vascular biomechanics, aortopathy, and mechanobiology Aortic remodeling, mechanosensing, progeria, Marfan syndrome, and arterial mechanics. 11 papers
  1. Developmental origins of mechanical homeostasis in the aorta S.-I. Murtada, Y. Kawamura, G. Li, M. A. Schwartz, G. Tellides, J. D. Humphrey. Developmental Dynamics, 2021.
  2. Paradoxical aortic stiffening and subsequent cardiac dysfunction in Hutchinson-Gilford progeria syndrome S.-I. Murtada, Y. Kawamura, A. W. Caulk, H. Ahmadzadeh, et al. Journal of the Royal Society Interface, 2020.
  3. Effects of Age, Sex, and Extracellular Matrix Integrity on Aortic Dilatation and Rupture in a Mouse Model of Marfan Syndrome D. Weiss, B. V. Rego, C. Cavinato, D. S. Li, Y. Kawamura, et al. Arteriosclerosis, Thrombosis, and Vascular Biology, 2023.
  4. Quantitative not qualitative histology differentiates aneurysmal from nondilated ascending aortas and reveals a net gain of medial components S. Yousef, N. Matsumoto, I. Dabe, M. Mori, A. B. Landry, et al. Scientific Reports, 2021.
  5. Lonafarnib improves cardiovascular function and survival in a mouse model of Hutchinson-Gilford Progeria Syndrome S.-I. Murtada, N. Mikush, M. Wang, P. Ren, Y. Kawamura, et al. eLife, 2023.
  6. Differential biomechanical responses of elastic and muscular arteries to angiotensin II-induced hypertension S.-I. Murtada, Y. Kawamura, D. Weiss, J. D. Humphrey. Journal of Biomechanics, 2021.
  7. Adventitial remodeling protects against aortic rupture following late smooth muscle-specific disruption of TGF-beta signaling Y. Kawamura, S.-I. Murtada, F. Gao, X. Liu, G. Tellides, J. D. Humphrey. Journal of the Mechanical Behavior of Biomedical Materials, 2021.
  8. Smooth muscle alpha-v integrins regulate vascular fibrosis via CD109 downregulation of TGF-beta signalling Z. Li, E. Belozertseva, A. Parlakian, R. Bascetin, H. Louis, Y. Kawamura, et al. European Heart Journal Open, 2023.
  9. Biomechanical and transcriptional evidence that smooth muscle cell death drives an osteochondrogenic phenotype and severe proximal vascular disease in progeria S.-I. Murtada*, Y. Kawamura*, C. Cavinato, M. Wang, A. B. Ramachandra, et al. Biomechanics and Modeling in Mechanobiology, 2023.
  10. Focal Adhesion Kinase Drives Rho/ROCK and mTOR Signaling to Protect and Augment Aortic Dissections Z. Zhou, P. Guan, R. Sarkar, Y. Yu, A. Richard, D. Weiss, Y. Kawamura, et al. JACC: Basic to Translational Science, 2025.
  11. Aortic Smooth Muscle Cell Focal Adhesion Kinase Activation is Associated With Acute Aortic Dissections Z. Zhou, Y. Li, C. Zhang, H. G. Vasquez, Y. Kawamura, et al. Circulation, 2021.