Dr. Carolyn Ren

Professor

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Biography

Carolyn Ren is a professor and the Tier 1 Canada Research Chair in Microfluidic Technologies at the University of Waterloo. She is the director of the Waterloo Microfluidics Laboratory and her research focuses on the development of microfluidics-enabled wearable technologies for applications such as protein fractionation, water quality monitoring, and infectious disease diagnosis. Ren is recognized for her groundbreaking contributions and has been named one of Canada’s Top 100 Powerful Women. She is a fellow of the Canadian Society for Mechanical Engineering and a member of the Royal Society of Canada's College of New Scholars. Throughout her career, she has launched several startups aimed at advancing microfluidic innovations. Ren has also received numerous awards for her teaching and research, including the Canada Research Chair distinction, which recognizes outstanding researchers across various fields. Her work emphasizes collaboration with industrial partners to translate research into practical solutions for real-world challenges in healthcare and technology.

Research Interests

Awards

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Tier 1 Canada Research Chair (CRC) Microfluidic Technology

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Honorable Mention for student paper

2022-03-01
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Canada’s Powerful Women: Top 100 Award

2021-01-01
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Ernsting Entrepreneurship Award

2021-01-01
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Award for Excellence in Graduate Supervision

2021-01-01
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Member of RSC College of New Scholars

2018-01-01
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Tier 2 Canada Research Chair (CRC) Droplet Microfluidics Lab-on-a-Chip Technology

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Fellow of the Canadian Society for Mechanical Engineering

2012-01-01
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Engineering Research Excellence Award

2010-01-01
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Early Researcher Award

2007-01-01

Requirements for University of Waterloo

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:90
Prerequisites
Honours Bachelor's degree in Psychology or related field Strong background in Statistics
Application Checklist
  • Transcripts
  • 3 Academic References
  • Statement of Interest
  • Supplementary Information Form
  • Resume/CV
Specialization Notes

Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.