Principal Investigator
Sam Payabvash, MD
Dr. Payabvash is a neuroradiologist, neuroimaging clinician-scientist, and Professor of Radiology at Columbia University. He is also the Director of Clinical Translation and Innovation for Columbia's Center for Innovation in Imaging Biomarkers and Integrated Diagnostics (CIMBID). After finishing medical school at Tehran University, he joined Massachusetts General Hospital for post-doctoral research fellowship, followed by radiology residency at University of Minnesota, and Neuroradiology Clinical Fellowship at University of California, San Francisco (UCSF). Before joining Columbia University in 2024, he has been an assistant and then associate professor of Radiology at Yale (2018-24) and a clinical instructor of neuroradiology at UCSF (2017-18).
Current Members
Anh Tuan Tran, Ph.D
Dr. Tran is an Associate Research Scientist at Columbia University medical center. Dr. Tran did B.S., M.S., and Ph.D. in University of Science - VNUHCM, Vietnam. He also was a lecturer in Faculty of Math. and Computer Science, University of Science - VNUHCM, Vietnam. His research is about using deep learning for segmentation and diagnosis from brain MRI, CT and lung CT. Dr. Tran served as Post-doc research associate at Department of Radiology and Biomedical Imaging, Yale university (2021-24).
Alex Kwon
Alex is currently an M.D. Candidate at Columbia University Vagelos College of Physicians and Surgeons. He holds an M.S. in Computer Science (AI) and B.S. in Computational Biology from Stanford University. His research in the Payabvash Lab focuses on developing and validating a multimodal machine learning model that integrates admission CT imaging, clinical, and laboratory data to predict early neurological deterioration in patients with acute intracerebral hemorrhage. Combining his medical and technical knowledge, Alex hopes to pursue a career in Interventional Radiology and explore the forefront of cutting-edge AI for image-guided procedures.
Subhashini Madhuranath
Subhashini is a medical student at Touro College of Osteopathic Medicine with research interests in neuroimaging, stroke, and artificial intelligence. She is investigating advanced MRI biomarkers and radiomic signatures of secondary brain injury following intracerebral hemorrhage. Her work focuses on leveraging quantitative neuroimaging and machine learning techniques to improve outcome prediction and support precision medicine approaches in cerebrovascular disease.
Liliane Ryan
Liliane is a senior in high school in Westchester, NY. She joined the Payabvash Laboratory as a sophomore in partnership with her high school's science research program. In the Lab, she contributes to hemorrhage segmentations identifying the location of hematoma and perihematomal edema in the brain. Her most recent work concentrated in the influence of intracerebral and intraventricular hemorrhage volumes on need for external ventricular drainage. Her research interests focus around intervention in hemorrhagic stroke.
Alumni
Pratheek Bobba, MD
Pratheek completed his MD at Yale School of Medicine and is currently a Diagnostic Radiology resident at the University of California, San Francisco (UCSF). He completed his BS in Biomedical Engineering at the University of Alabama at Birmingham and his research at Payabvash Lab was focused on topographically characterizing neonatal hypoxic ischemic injury using brain MR diffusion imaging.
Emily Avery, MD
Emily completed her MD at Yale School of Medicine and is currently a Diagnostic Radiology resident at the University of California, San Diego (UCSD). She earned her BA in Neuroscience from Princeton University and subsequently joined Yale University, where she conducted research in cognitive neuroscience in the laboratories of Marvin Chun and Nick Turk-Browne. During medical school, she worked in the Payabvash Lab, focusing on the development of radiomics-based biomarkers for stroke prognostication and clinical decision-making. Her research interests include neuroimaging, artificial intelligence, and the translation of quantitative imaging methods into clinical practice.
Clara Weber, MD
Clara Postdoctoral is a Fellow at Lise Meitner-Group Cognitive Neurogenetics, in Max Planck Institute for Human Cognitive and Brain Sciences and Institute for Neurosciences and Medicine. She joined Payabvash lab as a 4th-year medical student at Lübeck University with scholarship from the German Academic Scholarship Foundation. and the Biomedical Education Program. During her time at Payabvash lab, her research focused on microstructural and functional connectome correlates of autism spectrum disorder.
Adrian Mak, MD
Adrian is currently a Neurology Resident at Charité – Universitätsmedizin Berlin, Germany, he's also part of Charité Lab for Artificial Intelligence in Medicine (CLAIM) as doctoral student. He joined Payabvash Lab with a scholarship of the German Academic Scholarship Foundation. His projects was focused on applying deep learning for treatment triage and prognostication of acute stroke. He is also interested in ethical and social implications of AI to our current and future society.
Stefan Haider, MD
Stefan is a resident at the Department of Otorhinolaryngology, Head and Neck Surgery at Ludwig-Maximilian-University and was a scholar of the German Academic Scholarship Foundation. His research at Payabvash lab was focused on applying quantitative imaging and machine learning for molecular characterization and outcome prognostication of head-and-neck neoplasms.
Huang Lin, MD
Huang is an anesthesiology at the university hospital in Aachen, She joined Payabvash Lab as a 5th year medical student at RWTH Aachen University. Funded by the Biomedical Education Program and the German Academic Scholarship Foundation, her work was focused on Microstructural connectome signature of behavioral disorders in adolescents.
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Simone Kaltenhauser, MD
Simone is a Radiology Resident at Institute of Diagnostic and Interventional Radiology at the University Hospital Zurich. She joined Payabvash Lab as a 6th year medical student at the University of Regensburg, Germany, and a scholar of the German Academic Scholarship Foundation. Her project focus was on the influence of biological factors on microstructural and functional connectome correlates of adolescents.
Fiona Dierksen
Fiona is medical student at Georg-August-University of Göttingen in Germany. She is funded by the German Academic Scholarship Foundation. Her research at Payabvash Lab was focused on the Hematoma Expansion and long term clinical outcome of Intracerebral Hemorrhage. In Göttingen, she is working on her MD thesis under supervision of PD Dr. Maier.
Gaby Abou Karam, MD
Dr. Abou Karam is an internal medicine resident at at Inspira Medical Center in Vineland. He served as postdoctoral associate in the Department of Radiology and Biomedical Imaging at Yale School of Medicine (2022-24). He completed medical school at Saint Joseph University of Beirut, Lebanon. At Payabvash Lab, his projects were focused on predicting hematoma expansion and clinical outcome in patients with spontaneous intracranial hemorrhage.
Muhammed Mohsin Khan, PhD
M. Mohsin Jadoon received the B.S. and M.S. degrees in Electronic engineering from COMSATS University Islamabad, and from International Islamic University Islamabad (IIUI), Pakistan, in 2007 and 2011. He did PhD in Split degree program i.e. course work from IIUI and research from Queen Merry University (QMU), London, UK in 2018. Currently he is doing post-doctorate research at Department of Radiology and Biomedical Imaging, Yale university, New Haven, CT, USA. He is also Lecturer with the Electrical Engineering Department, International Islamic University Islamabad. His research interests include Signal & Processing, Sensors, and Biomedical Imaging.
Khalid Al-Dasuqi, MD
Dr. Al-Dasuqi is pediatric radiologist at Qatar. He joined Payabvash lab during his diagnostic radiology residency in the Department of Radiology and Biomedical Imaging at Yale-New Haven Hospital/Yale School of Medicine. Khalid completed his pre-medical studies and earned his MD from Weill Cornell Medicine in Qatar. Khalid's interest in neuroimaging started as a fourth-year medical student when he took part in a year-long research fellowship in the Department of Radiology at Weill Cornell Medicine in New York where he worked on stroke and vessel wall imaging. Khalid's research was focused on assessing the collateral status in acute stroke and its impact on patient outcomes.