Dr. Daniel Keating

Professor

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Biography

Daniel Keating is a Professor at the University of Michigan in the Department of Psychology. His research focuses on understanding the key, modifiable factors that lead to disparities in health and development from the prenatal period through emerging adulthood. He employs neurocognitive methodologies and has led significant studies including longitudinal neuroimaging research to understand adolescent health risk behaviors. Keating has contributed to understanding the impact of early life adversity and is a co-investigator in the national Environmental Influences on Child Health Outcomes (ECHO) study. He has offered undergraduate and graduate seminars on adolescent development, with a particular focus on cognitive and behavioral development during these critical years. His published works include works examining resilience in adolescence and the influence of socio-cultural factors on risk behaviors. Notably, he received the 2019 Eleanor Maccoby Book Award for Developmental Psychology from the American Psychological Association for his book, 'Born Anxious: Lifelong Impact of Early Life Adversity – Break Cycle.'

Research Interests

Experience

Professor

— Present

University of Michigan • Ann Arbor, MI

Professor in the Department of Psychology specializing in adolescent development and health.

Awards

#

Eleanor Maccoby Book Award

Requirements for University of Michigan

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Total
Required:84
GRE General
Verbal
Required:155
Verbal Percentile
Required:50
Quantitative
Required:168
Quantitative Percentile
Required:50
Analytical Writing
Required:3.6
Writing Percentile
Required:50
Prerequisites
Bachelor degree in engineering, physics, or mathematics Calculus Physics
Application Checklist
  • Rackham Graduate School Application
  • Official Transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Personal Statement
  • CV/Resume
Specialization Notes

Department of Electrical Engineering and Computer Science