Dr. Holly Golecki

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Biography

Holly Golecki is an Associate Teaching Professor in the Department of Bioengineering at the University of Illinois at Urbana-Champaign (UIUC). Her research focuses on the intersection of humans, materials, and medical devices, particularly in the areas of biomaterials, robotic systems, and engineering education. Golecki has actively contributed to the field by developing educational tools and engaging in workforce development through innovative approaches to engineering education. Notably, she has led projects funded by the National Science Foundation (NSF) aimed at enhancing professional formation of robotics engineers and improving engineering curricula. Her group has presented numerous papers at major engineering conferences, highlighting topics such as soft robotics and the integration of robotics in educational settings. Golecki also mentors undergraduate researchers, fostering a new generation of engineers dedicated to advancing bioengineering and robotics. She is committed to increasing opportunities for minority students in STEM through targeted outreach and educational initiatives. Golecki’s work continues to bridge the gap between engineering theory and practical application in medical technology, contributing to advancements in bioengineering education and research.

Research Interests

Experience

Associate Teaching Professor

2015-08-01 — Present

University of Illinois at Urbana-Champaign • Champaign, IL

Teaching and research in bioengineering, focusing on educational tools and technologies.

Courses

BIOE498

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.