People

Justin T. Baker has a background in neuroscience and clinical psychiatry. He is currently the Director of Functional Neuroimaging and Bioinformatics for the Schizophrenia and Bipolar Disorder Research Program at McLean Hospital, as well as the Scientific Director of the Institute for Technology in Psychiatry. Dr. Baker earned both his PhD and MD from Washington University in St. Louis in 2007, and completed his residency in psychiatry at Massachusetts General Hospital and McLean Hospital.

Einat Liebenthal is a cognitive neuroscientist with expertise in the neurophysiology of speech and language perception in the human brain. She is interested in language deficits and language-based interventions in psychiatric disorders. Dr. Liebenthal completed her postdoctoral fellowship in speech electrophysiology at the Albert Einstein College of Medicine.

Poornima is an assistant professor of psychiatry at Harvard Medical School and an assistant neuroscientist at McLean Hospital. Her research interests focus on investigating the mechanisms through which humans learn and process reinforcements (both rewards and punishments) and how these processes might contribute to psychiatric disorders, particularly depression.

Crystal received her BA in Psychology from State University of New York at Oswego and her MRes in Research in Psychology from the University of Manchester (UK) where she wrote her thesis on Modeling Single-Word Reading Deline in Semantic Dementia and Alzheimer’s Disorder. She has had additional experience as a research assistant at the Centre for Brain and Cognitive Development at Birkbeck University of London, on the ABCD early childhood autism screening project at UMASS Boston, and in the Evolutionary Psychology lab at State University of New York at Oswego. Now, she is an RA in the Baker Lab working on the BLS project.

Katie received her BS from Northeastern University and her Masters in Counseling Psychology from Lesley University. She has worked as a research assistant at Northeastern’s Interdisciplinary Affective Science Lab, as a Counseling intern in the Boston Public Schools, and as a Clinic Coordinator at Column Health. Katie currently work as an RA on the OCD and DPBPD studies in the Baker Lab.

Habib is a Postdoctoral Research fellow in the Baker lab. He received his PhD in electrical engineering from NC State University. With his background in control systems and big data analysis, he is interested in investigating the correlation of the lifestyle and environmental stimuli with the brain activity and connections. He is currently working on computational approaches to explore deep individual phenotyping.

Eric received both his BS in Psychobiology and MD from UCLA. His psychiatry residency and research training were respectively at Yale University School of Medicine and Yale’s Neuroscience Research Training Program. His work has been in applied machine learning with a focus on applying natural language processing to patient interviews for diagnostic support, clinical risk stratification, and identifying predictors in the hopes of improving clinical nosology for personality disorders. Currently, he is on the Deep Phenotyping in Borderline Personality Disorder study. Eric is in VA Boston’s Medical Informatics Fellowship; he splits his time between this lab and the VA’s machine learning group at MAVERIC.

Josh is a resident in the Research Concentration Program as part of the MGH/McLeanAdult Psychiatry Residency Program, arriving here after completing his tenure at the Weill Cornell / Rockefeller / Sloan-Kettering Tri-Institutional MD-PhD Program in New York City. His background is in neuroscience, biophysics, and dynamical systems. He employed a combination of micromechanical, electrophysiological, and computational techniques to find that sensory hair bundles are controlled not simply by their genetics, but by their mechanical microenvironment.

Daniel received his PhD in Neuroscience from Tel-Aviv University where he examined the relationship between volition and perception. Now he is interested in investigating how healthy and pathological subjects acquire a model of the environment and internalize its statistical properties.

Michaela is a year 4 PhD student in the Harvard Program in Neuroscience, and previously received an M.Eng and B.S. in Electrical Engineering and Computer Science from MIT. She is investigating machine learning techniques to predict behavior from wrist actigraphy, in particular detecting rituals in OCD. She also works on software development for data cleaning and visualization tools across lab projects.

Claire is currently a junior at Tufts University where she is studying Clinical Psychology and Architectural Studies. She is a lab assistant on the BLS study and helps with the Ethics of Deep Phenotyping Project.