Dr. Dan Foti

Professor

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Biography

Dan Foti is a professor in the Department of Psychological Sciences at Purdue University, where he also serves as the Director of the TL1 Predoctoral Training Program within the Indiana Clinical Translational Sciences Institute. His research focuses on Clinical Psychological Sciences, Neuroscience, and Behavior, with an emphasis on understanding the pathophysiology of psychiatric illnesses such as depression and schizophrenia. Over the past decade, Foti has been the principal investigator on a total of 11 extramural grants from NIH and various research foundations. He utilizes EEG as a primary research tool in his lab, focusing on the development of telehealth methods to enhance the delivery of psychosocial treatments. Foti is dedicated to mentoring graduate students, having served as the primary mentor for six PhD students and a secondary mentor for two others. He actively participates in various committees, including the NIH Fellowships Study Section and the Education Training Committee of the Society for Psychophysiological Research, working to promote diversity and excellence in education and training in psychological sciences.

Research Interests

Experience

Professor

2013-01-01 — Present

Purdue University • West Lafayette, IN

Serves as a professor and Director of the TL1 Predoctoral Training Program.

Awards

#

James C. Naylor Award for Teaching Excellence

2019-12-06
#

Elected Board Directors

2020-06-24

Requirements for Purdue University

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:100
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
Duolingo
Overall Score
Required:135
Overall
Required:135
Prerequisites
Bachelor's degree in CS or related field Foundational concepts of computer science Data structures Computer architecture Operating systems Mathematics through differential equations Linear and matrix algebra
Application Checklist
  • Official Transcripts
  • Academic Statement of Purpose
  • Personal History Statement
  • Resume
  • Three Letters of Recommendation
  • CS Supplementary Form
Specialization Notes

GRE is not required.