Dr. Ulrike Dydak

Professor

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Biography

Ulrike Dydak is a Professor in the School of Health Sciences at Purdue University and serves as the Director of the Purdue Life Science MRI Facility. She received her Master's degree in Physics from the University of Vienna, Austria, and completed her PhD at the Swiss Federal Institute of Technology (ETHZ) in Zürich. Her research predominantly focuses on the development and application of novel magnetic resonance imaging (MRI) and spectroscopy (MRS) techniques in clinical life sciences, particularly concerning metal-induced parkinsonism and neurological disorders. A significant part of her work examines manganese-induced neurotoxicity in welders, employing MRS techniques to analyze alterations in neurotransmitters such as GABA and Glutamate. Dydak collaborates on multiple projects, including studies related to postpartum depression and hepatocellular cancer. Her affiliations include memberships in various professional organizations, and she is actively involved in initiatives promoting diversity and inclusion within academia.

Research Interests

Experience

Professor

2002-01-01 — Present

Purdue University • West Lafayette, IN

Professor in the School of Health Sciences, specializing in neuroimaging and spectroscopy.

Awards

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Outstanding Graduate Mentor Award

2018-01-01
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Robert R. Landolt Excellence Teaching Award

2018-01-01
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Midcareer Research Award

2017-01-01
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Purdue University Faculty Scholar

2015-01-01
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Outstanding New Environmental Scientist (ONES) Award

2011-01-01

Courses

HSCI 312 - Radiation Science Fundamentals HSCI 672 - MRI Quality Assurance Internship HSCI 590 - Magnetic Resonance Spectroscopy

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.