Dr. Kristine Marceau

Associate Professor

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Biography

Kristine Marceau holds a PhD from Pennsylvania State University and serves as an Associate Professor in the Department of Human Development and Family Science at Purdue University. Her research interests focus on the interplay between genetic and environmental factors in the development of behavior problems and substance use across the lifespan. She specializes in understanding the biological underpinnings of developmental psychopathology, emphasizing the roles of genetics, hormones, and family environments during childhood and adolescence. Marceau employs sophisticated statistical techniques, including multilevel modeling and longitudinal data analysis, to explore these complex interactions. She has contributed to various grants and collaborative studies investigating adolescent substance use and resilience in families after disasters. Furthermore, Marceau actively engages in mentoring graduate students and has received numerous awards for her teaching and research excellence. Her expertise also extends to methodological advancements in behavioral research, particularly in the context of genetic analyses and neurodevelopmental studies. As a member of multiple professional organizations, she plays a significant role in advancing the field of developmental psychology through her editorial contributions and involvement in grant review committees.

Research Interests

Awards

#

University Faculty Scholar

2024-01-01
#2025

Outstanding Faculty Teaching Award

2025-01-01
#2025

Early Career Graduate Mentoring Award

2025-01-01
#2021

Fuller Scott Early Career Award

2021-01-01
#2021

Early Career Impact Award

2021-01-01
#2020

Lorene Burkhart Award

2020-01-01
#2016

APS Rising Star

2016-01-01

Courses

HDFS 627 - Multilevel Modeling Developmental Family Research HDFS 613 - Quantitative Methods Inferential Statistics ANOVA

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.