Dr. Andrew Flachs

Associate Professor

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Biography

Andrew Flachs is an Associate Professor at Purdue University in the College of Liberal Arts. He specializes in Environmental Anthropology, Political Ecology, Agriculture, and Qualitative Methods, with a focus on Food Studies and Ethnobiology. His research delves into food agricultural systems, investigating the dynamics of genetically modified crops and heirloom seeds. Andrew's educational background includes a Ph.D. from Washington University in St. Louis, where he graduated in 2016. Prior to his current role, he served as a Volkswagen Exchange Postdoctoral Research Fellow at Heidelberg University's Karl Jaspers Centre for Advanced Transcultural Studies. His work spans various geographical contexts, including North America, the Balkans, and South India, where he explores the intersection of ecological knowledge and technological change in agricultural practices. He has received multiple awards for his research, featuring in numerous peer-reviewed publications and notable public venues like National Geographic magazine. Andrew is also dedicated to teaching, offering courses that range from introductory anthropology to advanced ethnographic research methods.

Research Interests

Experience

Associate Professor

2017-01-01 — Present

Purdue University • West Lafayette, IN

Associate Professor specializing in Environmental Anthropology and related fields.

Courses

Introduction to Anthropology Food, Culture, Power Colonialism, Globalization, Food Justice Ethnographic Writing Ethnographic Research Methods Public Engagement

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.