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Principal Investigator
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Sam Payabvash, MD

Dr. Payabvash is a Neuroradiologist and Assistant Professor of Radiology at Yale School of Medicine. 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). After working at UCSF as a clinical instructor for a year, he joined Yale as an Assistant Professor in 2018.

Current Members
Ali Mozayan, MD

Dr. Mozayan is a diagnostic radiology resident at Yale New Haven Hospital. He completed medical school at the University of Central Florida. His research interests include medical informatics, computer vision, and natural language processing.

Abhi Jain, DO


Dr. Jain is a radiology resident at Einstein medical center in Philadelphia. He completed his bachelor’s in physical therapy at Rajiv Gandhi University in India, Doctorate in Physical therapy at Arizona school of health sciences, and medical school at Philadelphia college of osteopathic medicine. Dr. Jain is interested in application of AI in imaging and interventions of neurovascular disorders.

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Emily Avery


Emily is a medical student at Yale School of Medicine. She completed her BA in Neuroscience at Princeton University, after which she moved to Yale to continue research in cognitive neuroscience in the labs of Marvin Chun and Nick Turk-Browne. She began medical school in 2019, and her current research is focused on developing radiomics signatures for stroke prognostication and clinical decision making. 

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Pratheek Bobba


Pratheek is a first year medical student at Yale School of Medicine.  He completed his BS in Biomedical Engineering at the University of Alabama at Birmingham and his current research is focused on topographically characterizing neonatal hypoxic ischemic injury using brain MR diffusion imaging.

Clara Weber 


Clara Weber is a 4th year medical student at Lübeck University and holds a scholarship of the German Academic Scholarship Foundation. Funded by the Biomedical Education Program, she will join the Payabvash Lab for a research visit to work on microstructural and functional connectome correlates of autism spectrum disorder. In Lübeck, she is member of Prof. Sören Krach’s Social Neuroscience Lab and working on her MD thesis.

Adrian Mak


Adrian is a research fellow at the Payabvash Lab. Studying Medicine at Charité – Universitätsmedizin Berlin, Germany, he's also part of Charité Lab for Artificial Intelligence in Medicine (CLAIM) as doctoral student. He is holding a scholarship of the German Academic Scholarship Foundation. His current projects aim to apply deep learning to identification, treatment triage and prognostication of acute stroke. He is also interested in ethical and social implications of AI to our current and future society.

Tran Anh Tuan


Tran Anh Tuan 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. Currently he is doing Postgraduate Associate and will do post-doctorate research at Department of Radiology and Biomedical Imaging, Yale university, New Haven, CT, USA.

Stefan Haider


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 is focused on applying quantitative imaging and machine learning for molecular characterization and outcome prognostication of head-and-neck neoplasms.

Ben Braun


Ben is a medical student at the Frank H. Netter MD School of Medicine at Quinnipiac University. He completed his BS in Neuroscience at UCLA, where he conducted research on trabeculectomy outcomes and the utilization of Google Glass in patients with hemianopia. His current research focuses on how clinical-core and perfusion-core mismatch criteria may influence endovascular therapy qualifications and outcomes of large vessel occlusion stroke patients.

Bella Xiong


Bella Xiong is an undergraduate at Yale, double majoring in computer science and neuroscience. Her current research is focused on outcome prediction in patients who suffered hemorrhagic strokes. Outside of lab, she is the director of both Yale Helix Incubator and Tech4Teens, a program that provides technology education to students from disadvantaged backgrounds.

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Huang Lin


Huang is a 5th year medical student at RWTH Aachen University. Funded by the Biomedical Education Program and the German Academic Scholarship Foundation, she join Payabvash Lab and works on Microstructural connectome signature of behavioral disorders in adolescents.

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Simone Kaltenhauser


Simone is a 6th year medical student at the University of Regensburg, Germany, and a scholar of the German Academic Scholarship Foundation. She recently completed research for her MD thesis in the field of Radiology / Thoracic Surgery at the University Hospital Regensburg. Her current projects focus on the influence of biological factors on microstructural and functional connectome correlates of adolescents.

Fiona Dierksen

Fiona is a 3rd year medical student at Georg-August-University of Göttingen in Germany. She is funded by the German Academic Scholarship Foundation. Her research at Payabvash Lab is 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. 

Jakob Sommer


Jakob is a 6th year medical student at RWTH Aachen University, Germany, and a MD candidate at the clinical pharmacological department at RWTH Aachen. His research experience includes working with neural networks and regression models such as Lasso- or Regularized Horseshoe Regression. He is now primarily involved in researching precision medicine.

Gaby Abou Karam, MD


Dr. Abou Karam is a postdoctoral associate in the Department of Radiology and Biomedical Imaging at Yale School of Medicine. He completed medical school at Saint Joseph University of Beirut, Lebanon.
At Payabvash Lab, his current project is 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. 

Shiba Kuanar, PhD


Dr. Shiba Kuanar is was a Postdoctoral Associate in the Department of Radiology and Biomedical Imaging at Yale School of Medicine. He completed his Ph.D. in Electrical Engineering from the University of Texas at Arlington in 2018. His research interest at the Payabvash lab includes designing deep learning pipelines that automatically identifies the relevant radiomics signatures with a focus on Computer Vision and Probabilistic Modelling. In recent years, Shiba worked on Pulmonary CT image analysis for Emphysema severity prediction using GAN based mechanisms and Histology image analysis (Digital Pathology) for cell detection. As a Postdoctoral Fellow he is continuing his academic work at Mayo Clinic in Rochester, Minnesota.

Archibald Enninful

Archibald graduated from Yale College with a B.S. in Biomedical Engineering in May 2020. Archie took part in the 2017 STARS Research Program in the lab of Samuel Katz, MD/Ph.D and was a research scholar at the Novartis Institute of Biomedical Research in the summer of 2019. For his senior thesis, Archie worked on creating a high-spatial-resolution transcriptomic atlas of the mouse lymph node microenvironment using Deterministic Barcoding in Tissue (DBiT-seq). Archie’s work involves labelling head CT scans for the identification of acute ischemic infarcts using deep neural networks. Aside from research, he was a peer liaison with the Yale Chaplain’s Office and a volunteer with the Elder Horizon’s Program at the Yale New-Haven Hospital.

Severyn Kushmeliuk

Severyn Kushmeliuk, raised right outside of Cleveland, Ohio, is a member of the Yale University class of 2021. He is studying Molecular Biophysics and Biochemistry and plans to attend medical school after graduation. 

Kimberly Seifert , MD


Prior to earning her Medical Degree from Florida Atlantic University, Dr. Seifert completed a Master in Science in Behavioral Neuroscience at the University of Florida.  She completed her Radiology Residency at Yale, her Neuroradiology Fellowship at Stanford and is currently an attending physician at Stanford.

Gerardo Torres-Flores, MD


Dr. Torres-Flores was born in Puerto Rico and completed his medical studies at Universidad Central del Caribe School of Medicine in Bayamon, Puerto Rico. He is currently a radiology resident at University of South Alabama, and his radiology interests include neuroradiology, musculoskeletal radiology and interventional radiology. His research in the lab focuses on the effects of collateral status on stroke infarct distribution and the use of deep neural networks to detect acute ischemic infarct on head CT scans. 

Khalid Al-Dasuqi, MD

Dr. Al-Dasuqi is a chief diagnostic radiology resident 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 current work focuses on assessing the collateral status in acute stroke and its impact on patient outcomes. He is currently pursuing his Pediatric Neuroradiology fellowship at the Boston Children's Hospital.

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