Dr. Megan Mahoney

Associate Professor

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Biography

Megan Mahoney is an Associate Professor in the Comparative Biosciences program at the University of Illinois. Her research focuses on understanding the interplay between homeostatic endocrine systems and behavioral outcomes. Mahoney's innovative work integrates chronobiology, reproductive biology, and neurotoxicology, emphasizing biological rhythms that are essential for life and underpin various physiological processes, including the sleep-wake cycle, metabolism, immune function, and reproductive cyclicity. Specifically, her studies examine how estrogen signaling, influenced by estradiol and various environmental factors, affects daily behavioral patterns and responses to light signals. Mahoney regards her work as pivotal in addressing significant scientific questions related to hormonal changes and their effects on adult biological rhythms, as well as sex differences in regulation by circulating hormones. Through her research, she aims to provide new insights into the mechanisms that govern these interactions and their implications for health. Mahoney holds a Ph.D. with dual degrees in Zoology and Ecology, Evolutionary Biology, and Behavior from Michigan State University and has a Bachelor of Arts in Biology from Bates College.

Research Interests

Experience

Associate Professor

2003-01-01 — Present

Comparative Biosciences • Urbana, IL

Conducts research in animal behavior, toxicology, and reproductive biology, specializing in the impact of hormonal changes on physiological and behavioral outcomes.

Requirements for University of Illinois

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
TOEFL
Listening
Required:17
Reading
Required:19
Writing
Required:21
Speaking
Required:20
Total
Required:103
GRE General
Prerequisites
Mathematical background Linear Algebra Calculus
Application Checklist
  • Online application
  • Unofficial transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Resume/CV
Specialization Notes

GRE is optional for admission to all graduate programs in Statistics. Full status admission requires higher language scores than limited status.