Mert Sabuncu | People

Mert R. Sabuncu

Principal Investigator

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 where he is Associate Professor in Electrical and Computer Engineering. Broadly speaking, his research interests lie at the intersection of artificial intelligence, biomedical data analysis, and healthcare. [Curriculum Vitae]

Graduate Students

Cagla Deniz Bahadir

Cagla is a first year PhD student in the Department of Biomedical Engineering at Cornell University. She graduated with a BS degree in Electrical and Electronics Engineering from Bilkent University, Turkey. She, then received the Fulbright Scholarship and graduated with an MS degree in Biomedical Engineering from Cornell University. Her research interests are Magnetic Resonance Imaging, Digital Pathology and Machine Learning. She plays the piano and sings with Cornell University Chorale.

Sijia Gao

Sijia is currently a third-year PhD student at Department of Electrical and Computer Engineering of Cornell University. She is also appointed as a visiting graduate assistant in Department of Anesthesiology, Weill Cornell Medical School. Her research project aims at identifying cortical patterns that promote arousal from a low brain state through brainstem stimulation and the integrated cortical and motor dynamics during anesthesia.

Zijin Gu

Zijin is currently a first-year PhD student at Department of Electrical and Computer Engineering of Cornell University. She received her B.Eng degree in Electrical Engineering from Zhejiang University, China. Her research focuses on the intersection of machine learning and neuroscience. Now she is interested in applying machine learning algorithms to brain connectivity networks and is working on analyzing the structural and functional connectomes. When she is free, she loves traveling. She also enjoys piano and photography. [github]

Carmen Khoo

Carmen is a graduate student in the Department of Biomedical Engineering. She came to Cornell after completing her BS and MS in Statistics at Carnegie Mellon University in Pittsburgh. She enjoys weight lifting, baking, playing the cello, singing, and reading in her free time. [github]

Meenakshi Khosla

Meenakshi is a second 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. [github]

Tianyu Ma

Tianyu is a third year PhD candidate in the department of Physics. Before coming to Cornell, he obtained his undergraduate degree from Emory University with double major in Physics and Mathematics. With interests in artificial intelligence and machine learning, he is currently working on using computer vision and deep learning to analyze medical data for automatic disease diagnosis. During his free time, he likes playing tennis, hiking and skiing. He is also a big fun of classic rock music. His favorite song is ‘wish you were here’ by Pink Floyd. [github]

Gia H. Ngo

Gia is a graduate student in the Department of Electrical and Computer Engineering at Cornell. Previously, Gia received his B.Eng from the National University of Singapore (NUS). His research interests are applications of machine learning to medical image analysis. Gia has worked with Prof. Thomas Yeo at the Computational Brain Imaging Group at NUS, developing new Bayesian models to estimate reference atlases of brain networks from large datasets of neuroimages. Gia also has an interest in natural language processing. He has worked with Dr. Nancy Chen at Human Language Technology department at the Institute of Infocomm Research, A*STAR on transliteration in limited resource scenarios. [github]

Matthew Pool

Matthew started his PhD in Electrical Engineering at Cornell in the fall of 2018. He graduated from UMass Amherst with a Bachelor of Science in Electrical Engineering in the spring of that same year. His previous research and work experience was primarily in the field of electromagnetics, but his current research interests lie in the broad area of machine learning applied to biomedical data. In his free time he enjoys writing and hiking, and he is an avid gamer.

Alan Wang

Alan is a second year graduate student in the Department of Electrical and Computer Engineering at Cornell. Previously, he graduated with a degree in computer engineering from University of Illinois at Urbana-Champaign and was a researcher at the MIT Lincoln Laboratory, where he investigated modeling wireless communication channels using deep learning. His research interests lie at the intersection of machine learning and medical imaging, particularly magnetic resonance imaging. [github]

Evan Yu

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. [github]

Zhilu Zhang

Zhilu is a second 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. [github]

B.S. and M.Eng. Students

Victor Butoi

Victor is a third year undergraduate student in CS at Cornell where he is a part of the Cornell Data Science project team alongside his research in the Sablab. His research lies broadly in Computer Vision and Reinforcement Learning problems; both in relation to the healthcare space. Nowadays, he is especially interested in Bayesian methods for Computer Vision and methods for few-shot deep learning. You’ll find him in office hours or the basketball court, but probably not at the Terrace. [github]

Amaya Murguia

Amaya is a Master of Engineering student in the department of electrical and computer engineering at Cornell where she also graduated with a Bachelor of Science in the same major. Her interests lie in signal and image processing and machine learning, and specifically its application to medical data. Her project involves using encoding models to understand neural representations of sensory information. She enjoys cooking, reading, and playing tennis in her free time.

Siwen Chen

Jin Cui

Yuqi Hong

Jiaxin Liu

Shashank Pathak

Yuqing Shou

Yiming Yan

Hanyang Zhang

Leo Moon

Alumni

Adrian Dalca

Prior Post-doc

Çağla Bahadir

Prior M.Eng. Student

Artem Bolshakov

Prior Ph.D. Student

Tian Ge