Mert R. Sabuncu
Mert received a Ph.D. in Electrical Engineering from Princeton University. He was then a post-doctoral fellow at MIT Computer Science and Artificial Intelligence Laboratory. After several years as a faculty member at Martinos Center for Biomedical Imaging (Harvard Medical School and Massachusetts General Hospital), he moved to Cornell as Assistant Professor in Electrical and Computer Engineering, with a secondary appointment in Biomedical Engineering. Broadly speaking, his research interests lie at the intersection of artificial intelligence, biomedical data analysis, and healthcare.
Post-Docs and Fellows
Adrian is a postdoctoral fellow at Massachusetts General Hospital, working with Mert. He obtained his Ph.D. from CSAIL, MIT, where he was advised by Polina Golland. He is interested in models for medical image analysis and for characterizing genetic effects on imaging phenotypes. Adrian also has a side passion for computational photography and vision. He has recently become interested in healthcare entrepreneurship and how we can facilitate the translation of medical image analysis to the clinic.
Postdoctoral Research Fellow
Sundaresh Ram is a postdoctoral research fellow in the School of Electrical and Computer Engineering at Cornell University. He received a B.E. in Electrical and Electronics Engineering from Anna University, Chennai, India in 2007, and an M.S. and a Ph.D. in Electrical and Computer Engineering from The University of Arizona in 2010 and 2017, respectively. His research interests include signal/image/video processing and analysis, computer vision, machine learning, computational imaging, and inverse problems and applications of these methods in the biological sciences, conventional and medical imaging and data science. A current focus of his research has been on solving problems involving adaptive imaging, sparse representations, compressive sensing and data (image and video) recovery.
Postdoctoral Research Fellow
Yingying is a postdoc in the School of Electrical and Computer Engineering at Cornell University. She received her Ph.D. in Computer Science from the University of Queensland, Australia and is interested in developing machine learning methods to solve computer vision and medical imaging problems.
Yingying has been at UNC Chapel Hill working with longitudinal MR image analysis and dynamic brain functional connectivity. Her current research project aims to predict a patients’ health status by analyzing and integrating their collected medical imaging, clinical data and genomic data. The final goal of this project is to develop tools that can be used in the health care industry to improve life quality and treatments effects.
Meenakshi is a first year graduate student in the Department of Electrical and Computer Engineering at Cornell. Previously, she graduated with a B. Tech-M. Tech dual degree in electrical engineering from IIT Kanpur and worked as a research associate at the Yale School of Medicine in the department of neurology. While at Yale, Meenakshi worked on investigating the neural underpinnings of consciousness using EEG and fMRI. Broadly, her research interests lie in the application of machine learning to neuroimaging data and she plans to study the structural and functional connectome.
Evan is a PhD student at Cornell BME.
Evan comes to Cornell after four delightful years of undergraduate studies at Stony Brook University. Through his research experience at the Psychiatry Department in Stony Brook Hospital and at the Radiology Department in Weill Cornell, he developed an interest in machine learning. He is currently a Ph.D student in the Meinig School of Biomedical Engineering. Among other things, Evan enjoys going downhill in his snowboard and mastering his culinary skills during his free time.
Zhilu is a first year graduate student in ECE.
Zhilu obtained his Bachelor’s degree at Carleton College where he double majored in math and physics. He was born in China and lived in various countries like Japan and Singapore. His research interests are in machine learning and its application to biomedical problems. In his free time, Zhilu likes to cook, listen to music and exercise.