Dr. Murray moved to Dartmouth in summer 2023. Some lab members continue their research at Yale.
Principal Investigator
John D. Murray, PhD
Gregg L. Engles Associate Professor of Psychological and Brain Sciences, Dartmouth College
Associate Professor Adjunct of Psychiatry, Yale University
PhD, Physics, Yale University (2013)
BS, Physics and Mathematics, Yale University (2006)
[Short CV]
Postdoctoral Researchers
Katerina Capouskova, PhD
Postdoctoral Associate, Dartmouth
PhD, Computational Neuroscience, Universitat Pompeu Fabra (2023; Advisor: Gustavo Deco)
MSc, Neuroscience, King’s College London (2014)
MSc, Philosophy of Science, London School of Economics and Political Science (2013)
BA, Journalism, Media Studies and Gender Studies, Masaryk University in Brno (2012)
https://www.katerinac.com/
Heeseung Lee, PhD
Postdoctoral Associate, Dartmouth
PhD, Brain and Cognitive Sciences, Seoul National University (2023; Advisor: Sang-Hun Lee)
BA, Physics, Yonsei University (2015)
https://sites.google.com/view/heeseunglee
Kangjoo Lee, PhD
Associate Research Scientist, Yale (joint with Cho lab)
PhD, Neuroscience, McGill University (2019; Advisor: Christophe Grova)
MS, Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (2011)
BS, Radiological Science, Yonsei University (2009)
https://kangjoo.github.io/
Jacob A. Miller, PhD
Postdoctoral Associate, Yale (Wu Tsai Fellowship)
Starting Jan 2025: Assistant Professor of Psychology, University of Miami
PhD, Neuroscience, University of California, Berkeley (2021; Advisor: Mark D’Esposito)
BS, Neuroscience, Duke University (2016)
https://sites.google.com/view/jacobmillerneuro/home
Jiacheng Xu, PhD
Postdoctoral Associate, Dartmouth (starting Nov 2024)
PhD, Physics, University of California, Davis (2024; Advisors: Daniel Cox, Mark Goldman, Steve Luck)
BS, Physics, University of Illinois, Urbana-Champaign (2016)
Graduate Students
Frederick Berl
PhD Student in Applied Physics, Yale
BS, Physics, California Institute of Technology (2018)
Thesis topic: Dynamical mechanisms of context-dependent neural computation
Eun Tack Cho
PhD Student in Neuroscience, Dartmouth
MS Computer Science, Johns Hopkins University (2023)
BS Computer Science and Neuroscience, Johns Hopkins University (2022)
Harper Cho
PhD Student in Physics, Yale
BS, Physics, NYU Abu Dhabi (2021)
Thesis topic: Biophysical circuit mechanisms supporting flexible cognition
Rachel A. Cooper
PhD Student in Physics, Yale
BS, Physics and Mathematics, PennWest Clarion (2014)
Thesis topic: Individual-level large-scale circuit modeling of human cortex
Cove Geary
PhD Student in Neuroscience, Dartmouth
BS Cognitive Science, BA Statistics & Data Science, Yale University (2021)
Heraclitos (Max) Lefcochilos-Fogelquist
PhD Student in Physics, Yale
BS, Physics, Georgetown University (2017)
Thesis topic: Characterizing and modelling spectral state dynamics in the human brain
Hui Liang Peng
PhD Student in Physics, Yale
BS, Physics, University of Hong Kong (2019)
Thesis topic: Dynamics of task learning and neural representation adaptation from the kernel perspective
Yugantar Prakash
PhD Student in Neuroscience, Dartmouth
MS, Computer Science, University of Massachusetts, Amherst (2023)
BS, Computational Mathematics, University of California, Los Angeles (2020)
Post-Baccalaureate Researchers
[None currently]
Undergraduate Students
[None currently]
PhD Dissertations
- Amber Howell, PhD in Neuroscience, 2024: Characterizing the Anatomical Architecture of Information Flow Within Cortico-Thalamic Circuits in Human and Non-Human Primates.
- Daniel B. Ehrlich, PhD in Neuroscience, 2021: Computational Principles of Multiple-Task Learning in Humans and Artificial Neural Networks.
- Maxwell Shinn, PhD in Neuroscience, 2021 (Awarded Neuroscience Doctoral Thesis Prize): Time as a Bridge from Brain to Behavior.
- Joshua B. Burt, PhD in Physics, 2020: Large-Scale Organization of Microcircuit Specialization in Human Cortex.
- Norman H. Lam, PhD in Physics, 2020: Inhibitory Regulation of Cognitive Functions in Cortical and Thalamic Circuits: Computational Mechanisms and Experimental Predictions.
Alumni
Postdoctoral Researchers
- Warren W. Pettine, 2020-2023. Assistant Professor at University of Utah.
- Takuya Ito, 2021-2022. Researcher at IBM.
- Daniel B. Ehrlich, 2021-2022. Postdoctoral researcher at University of California, Berkeley (Anne Collins Lab).
- Markus Helmer, 2016-2021. Chief Technology Officer at Manifest Technologies.
- Murat Demirtas, 2016-2019. Researcher at Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS).
- Julie Goulet, 2016-2017. Researcher at CITEC Universität Bielefeld.
Graduate Students
- Amber Howell, 2018-2024. Postdoctoral researcher at Rutgers University (Avram Holmes and Linden Parkes labs.)
- Daming Li, 2016-2022. Applied scientist at Uber.
- Daniel B. Ehrlich, 2015-2021. Postdoctoral researcher at University of California, Berkeley (Anne Collins lab).
- Maxwell Shinn, 2016-2021. Postdoctoral researcher at University College London (Harris/Carandini Lab).
- Joshua B. Burt, 2015-2020. Data scientist at Neumora Therapeutics.
- Norman H. Lam, 2016-2020. Postdoctoral researcher at Massachusetts Institute of Technology (Halassa lab).
Post-Baccalaurate Researcher
- Cove Geary, 2021-2023. PhD student in Neuroscience at Dartmouth College.
- Sam Zheng, 2019-2020. PhD student in Neuroscience at New York University.
Undergraduate Students
- Nina Bernick, 2022.
- Cove Geary, 2021.
- Laurel Turner, 2019-2021.
- Hendrick Townsend, 2019.
- Amber Hu, 2018-2021. PhD student in Statistics at Stanford.
- Jasmine Stone, 2018-2020. PhD student in Neuroscience at Columbia University.
- Sungrok Trevor Shim, 2018-2020.
- Adela DePavia, 2018-2019. PhD student in in Computational & Applied Mathematics at University of Chicago.
- Hendrick Townsend, 2019.
- Lasya Sreepada, 2018-2019. PhD student in Biomedical Engineering at University of Pennsylvania.
- Gonzalo Aguilar, 2018.
- Natasha Navejar, 2016. MD candidate at Baylor.
- Alex Atanasov, 2016-2018. PhD student in Physics at Harvard University.
- Dave Brandfonbrener, 2016-2018. PhD student in Computer Science at New York University.
- Will Eckner, 2016-2017. PhD student in Physics at University of Colorado, Boulder.