Dr. Mark D Esposito

Professor

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Biography

Mark D'Esposito is a Distinguished Professor in the Department of Psychology at the University of California, Berkeley, where he also directs the Helen Wills Neuroscience Institute. His research specializes in understanding the neural bases of high-level cognitive processes, particularly focusing on working memory and cognitive control. He employs various experimental methodologies including functional MRI (fMRI), transcranial magnetic stimulation (TMS), and electrocorticography (ECoG) to investigate the neural substrates and temporal dynamics of these cognitive processes, emphasizing the role of the prefrontal cortex. D'Esposito's work has explored the effects of the dopaminergic system on working memory and cognitive control through pharmacological studies with normal human subjects and patients with Parkinson's disease. He has also conducted behavioral studies on patient populations experiencing frontal lobe dysfunction, aiming to enhance understanding of mechanisms underlying these cognitive functions. Moreover, he is involved in developing cognitive therapeutic approaches for patients with traumatic brain injuries and those suffering from executive function deficits. His methodological research focuses on advancing techniques for acquiring and analyzing fMRI and TMS data.

Research Interests

Courses

Human Neuropsychology

Requirements for University of California, Berkeley

Doctorate Program
Requirements
GPA Requirement
Required:3
GRE Subject
Overall Score
Required:500
Overall
Required:500
TOEFL
Total
Required:90
IELTS
Overall
Required:7
Prerequisites
Bachelor's degree or recognized equivalent Preparation comparable to undergraduate major at Berkeley in Mathematics or Applied Mathematics 2 full years lower-division work (Calculus, Linear Algebra, Differential Equations, Multivariable Calculus) 8 one-semester upper-division courses (Real Analysis, Complex Analysis, Abstract Algebra, Linear Algebra)
Application Checklist
  • Graduate Application
  • Statement of Purpose
  • Personal History Statement
  • Three Letters of Recommendation
  • Unofficial Transcripts
  • C.V./Resume
  • Course and Textbook List
Specialization Notes

The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.