Prateek Prasanna is an Assistant Professor in the Biomedical Informatics department at Stony Brook University, New York . He directs the Imaging Informatics for Precision Medicine (IMAGINE) Lab. His research interests lie at the intersection of medical image analysis and machine learning. He obtained his PhD in biomedical engineering from Case Western Reserve University (CWRU), his masters degree in Electrical and Computer Engineering from Rutgers University, NJ, USA , and bachelors degree in Electrical and Electronics Engineering from National Institute of Technology, Calicut, India .
Xuan Xu is a PhD student in the CS department. Her research interests include survival analysis and deep learning for medical imaging. On weekends, she likes to hike and watch movies. She has two bettas now 🙂
Joseph Bae is an MD/PhD student in the Biomedical Informatics department. He completed both his bachelor’s and master’s degrees in Biophysics at the University of Southern California where he studied circulating tumor cells in several solid cancers. His current research interests are broadly in the application of machine learning to medical imaging. Outside of research, he also has interests in public health initiatives and equity in medicine. Some of his hobbies include traveling, camping, gaming, and attending baseball games. He also regularly goes on hikes around the Long Island area. His personal website can be found at https://joseph-bae.github.io/ .
Saarthak Kapse is a PhD student in the Biomedical Informatics department. He completed his bachelor’s in Electrical Engineering at Indian Institute of Technology, Bombay. His general research interests include deep learning and its application in medical imaging, specifically in radiology and pathology informatics. In his free time, he’s interested in swimming and exploring new places.
Aishik Konwer is a PhD student in the Computer Science Department. His research interests lie in computer vision and predictive modeling. Currently, his focus is on applying deep learning techniques to build predictive and prognostic models in various clinical domains. In his free time, you can find Aishik playing cricket in the backyard or trying photography skills. For more details about his research, please visit https://aishikkonwer95.github.io/
Moinak Bhattacharya is a PhD student in the Biomedical Informatics Department. His primary research interests are in Medical Image Analysis and Computer Vision. He is also interested in medical robotics, optimization, statistical machine learning, and related areas. He has worked as an Artificial Intelligence Engineer at HyperVerge Technologies.
Lei Zhou is a PhD student in the Computer Science Department, co-advised by Dr. Dimitris Samaras. His primary research interests include generative models, representation learning, and their practical implementation and applications to medical image analysis. Lei like traveling and enjoys music and movies. His dream is to build himself a cabin!
David Payne is a PGY-4 Radiology Resident physician at Stony Brook University Hospital and an MS student in the Biomedical Informatics department. As a clinically active radiology physician and BMI student, his research interests lie in the development of new automated methods for the detection of critical life-threatening central nervous system pathology to improve diagnostic speed, precision, and consistency. Working with the IMAGINE Lab has not only allowed him to contribute his experiences in diagnostic radiology in multi-disciplinary research projects with a variety of computational and clinical collaborators, but has also provided the opportunity to pursue his own independent projects
Rohit is a fourth year medical student and SCP Research Scholar at Renaissance School of Medicine with a broad interest in internal medicine, clinical informatics and oncology research. He graduated with a B.S. in Materials Science and Engineering at Cornell University and has four years of experience in big data analytics, clinical informatics and clinical oncology research at Verisk Analytics, NYU Langone Long Island and Cedars-Sinai Medical Center. His current recent focus is on predicting response of lung cancer to immunotherapy using a combination of clinical, radiomic and pathomic information.
agandeep Singh is a Neuroradiology fellow at Columbia University. his research interests include radiomics and radiogenom ics in primary and metastatic brain tumors with a special focus on tran slation of AI techniques to the clinic.