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We are a group of neurologists and computer scientists who share the passion for using technology to precisely understand how certain neurologic diseases impact human motor and cognitive function. We believe that capturing high-definition behavior at scale will lead to the discovery of fundamental characteristics of disease that will inform new approaches to therapy development, diagnosis, and management. Our initial focus is on cerebellar ataxia, Parkinson’s disease, and neurodegenerative disease in general.
We are deeply thankful to the patients and patient advocates who donate their time to our research program during their visit to MGH. Likewise, this work would not be possible without the generous support from the Ataxia-Telangiectasia Children’s Project (A-TCP) and the MGH Department of Neurology.
Anoopum Gupta, MD, PhD
Graduate Assistant in Neurology, Massachusetts General Hospital Instructor in Neurology, Harvard Medical School Clinical Translational Fellow, Pfizer Inc.
Anoopum Gupta received his undergraduate degree in Electrical Engineering from Georgia Tech, his medical degree from the University of Pittsburgh School of Medicine, and his PhD in Robotics and the Center for the Neural Basis of Cognition from Carnegie Mellon University’s School of Computer Science. He completed his residency in neurology at the Partners-Harvard Neurology Residency Program (MGH and Brigham and Women’s Hospital).
Dr. Gupta’s previous research utilized methods in machine learning and signal processing to understand how large populations of neurons in the hippocampus support learning, memory, and decision making.
Mary Donovan, Clinical Research Coordinator, Massachusetts General Hospital and Harvard Medical School
Applying Machine Learning to A-T
We are always looking for individuals with a strong quantitative and algorithmic background as well as a passion for understanding the brain and neurologic disease to lead areas of interest within our group.
Laboratory for Deep NeurophenotypingSuite 2046100 Cambridge St.Boston, MA 02114
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