Principal Investigator

Sridevi V. Sarma
PI

Dr. Sridevi Sarma received the B.S. degree in electrical engineering from Cornell University, Ithaca NY, in 1994; and an M.S.  and Ph.D. degrees in Electrical Engineering and Computer Science from Massachusetts Institute of Technology in, Cambridge MA, in 1997 and 2006, respectively. From 2000-2003 she took a leave of absence to start a data analytics company. From 2006--2009, she was a Postdoctoral Fellow in the Brain and Cognitive Sciences Department at the Massachusetts Institute of Technology, Cambridge.  She is now an associate professor in the Institute for Computational Medicine, Department of Biomedical Engineering, at Johns Hopkins University, Baltimore MD. Her research interests include modeling, estimation and control of neural systems using electrical stimulation. She is a recipient of the GE faculty for the future scholarship, a National Science Foundation graduate research fellow, a L’Oréal For Women in Science fellow, the Burroughs Wellcome Fund Careers at the Scientific Interface Award, the Krishna Kumar New Investigator Award from the North American Neuromodulation Society, and a recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE) and the Whiting School of Engineering Robert B. Pond Excellence in Teaching Award.

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Postdocs

Christine Elizabeth Beauchene
Postdoc

Christine Beauchene received her B.S. and Ph.D degrees in Mechanical Engineering from Virginia Tech, Blacksburg, VA, in 2012 and 2018 respectively. Her doctoral research was focused primarily on augmenting working memory maintenance by using a non-invasive brain stimulation technique called binaural beats which were controlled using an EEG-based closed loop controller. She is currently a NIH T32 Postdoctoral Research Fellow in the Biobehavioral Pain Research Training Grant at Johns Hopkins University. Her research interests include closed-loop control of neural systems, neural networks, modeling, and chronic pain.

 

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Patrick Greene
Postdoc

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Graduate Students

Macauley Smith Breault
PhD Candidate

Macauley Breault received the B.S. degree in honors mathematics and physical science from Muhlenberg College, Allentown PA, in 2015. She is now a Ph.D. candidate in Biomedical Engineering at Johns Hopkins University, Baltimore MD. Her research interests include brain-machine interfaces, sensorimotor control, and chronic pain. This work involves constructing decoding models and identifying neural correlates between brain and behavior. She is a second consecutive winner of the Achievement Reward for College Scientists (ARCS) Scholarship as well as a second consecutive recipient of the L’Oréal USE for Women in Science “Changing the Face of STEM” grant used to fund her annual outreach event for local Girl Scouts in Baltimore.

When not working, Macauley enjoys spending time with her dog and cat, hiking, snowboarding, gardening and cooking. Her best meal is carbonara.

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Raina D'Aleo
PhD Candidate

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Daniel Ehrens
PhD Candidate

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Kristín María Gunnarsdóttir
PhD Candidate

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Adam Li
PhD Candidate

Adam Li received his B.S. degrees in Bioengineering and Mathematics-Applied Sciences from University of California, San Diego (go Tritons!) in 2015. He is now a Ph.D. candidate in Biomedical Engineering at Johns Hopkins University, Baltimore MD. His research interests include epilepsy seizure localization, networked dynamical systems, and machine learning for neuroscience and healthcare. In 2016, he won the national Intel Cornell Cup design competition with a team from JHU. In 2017, he received the NSF-GRFP, Whitaker Fellowship, and the Chateaubriand Fellowship. From 2017-2018, he spent a year in Marseille France with the Theoretical Neurosciences Group learning about computational modeling with The Virtual Brain. During graduate school, Adam is also interested in a variety of different activities. He hosts medical engineering events through the Hopkins Engineering Medicine Exchange. He is involved in developing an AAPI non-profit, AAMPLFIY, in San Francisco for training high school AAPI students in leadership and advocacy.

His future ambitions include starting his own company in healthcare/medical technology. In his spare time, he enjoys breakdancing, photography and going to the gym.

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Cynthia Steinhardt
PhD Candidate

Cynthia Steinhardt is a PhD candidate in the Johns Hopkins Biomedical Engineering department. She graduated with a B.A. in Neuroscience from Princeton University and is current studying how the brain integrates information during decision making task to understand irrational decisions (e.g. choosing worse options, betting on low value options, etc.). Her past projects in the lab include work on modeling how electrical brain stimulation affects different regions of the brain during treatments, such as DBS.

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Undergraduate Students

Julia Costacurta
Undergraduate Student
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Katherine Hu
Undergraduate Student
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Silu Men Men
Undergraduate Student
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Anil Palepu
Undergraduate Student
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Alumni

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