Hi, I'm Meg!
I'm an imaging scientist with a passion for learning how cameras see the world. My work focuses on image quality analysis, sensor characterization, skin tone color accuracy, and software development. I studied Motion Picture Science and Imaging Science at the Rochester Institute of Technology, and I approach imaging with the curiosity of both a researcher and a photographer.
Imaging Scientist
Imatest LLC
Boulder, CO
May 2022 - Present
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Lead research on skin tone reproduction in cameras, overseeing funding, experimental design, participant recruitment, psychophysical studies, data analysis, and test chart development.
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Contribute to international image quality standards.
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Design and implement test plans for software and hardware compliance with image quality standards.
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Create automated workflows for image capture and analysis using MATLAB, Python, and various SDKs.
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Characterize cameras and image sensors based on sharpness, noise, uniformity, and color accuracy.
Undergraduate Teaching Assistant
RIT Chester F. Carlson Center for Imaging Science
Rochester, NY
January 2021 - May 2022
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Guided students on IP/CV assignments, strengthening scientific programming skills.
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Conducted individual and group tutoring sessions, and taught class during professor absences.
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Graded assignments and offered detailed feedback.
Quality Assurance Engineer Intern
Mathworks
Natick, MA
May 2021 - August 2021
Undergraduate Research Assistant
RIT Chester F. Carlson Center for Imaging Science
Rochester, NY
May 2020 - May 2021
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Collected, processed, and analyzed multimodal (hyperspectral, infrared, LiDAR) image data using unmanned aerial vehicles for 10+ research projects spanning environmental, archaeological, and defense applications.
Production Assistant
RIT Tech Crew
Rochester, NY
August 2019 - May 2020
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Assisted with setup, operation, and teardown of audio, lighting, and power equipment for campus events at RIT.
Education
Academic Background
B.S. Imaging Science - Rochester Institute of Technology
Graduated Summa Cum Laude
Relevant coursework in Optics, Radiometry, Computer Vision, Color Science, and Imaging Detectors
Awards
Awards and Honors
RIT Outstanding Undergraduate Scholar
Awarded to the top 1% of undergraduate students who achieve academic excellence while also giving back to the community through civic or volunteer work, by conducting research, or being engaged in a co-op or work in their field of study.
Awarded 2023 by the Rochester Institute of Technology
RIT Undergraduate Research Scholar
The RIT Undergraduate Research Scholar designation recognizes graduating students who have displayed outstanding research work at the university level.
Awarded May 2023 by the Rochester Institute of Technology
RIT College of Science Undergraduate Research Scholar
The RIT College of Science Research Scholar designation recognizes graduating COS students who have participated in mentored research that led to a publication or public presentation.
Awarded May 2023 by the Rochester Institute of Technology, College of Science
Chester F. Carlson Undergraduate Research Scholar
The Chester F. Carlson Undergraduate Research Scholar award recognizes graduating Imaging Science students who have participated in mentored research within the department.
Awarded May 2023 by the Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science
Publications
Journal Articles and Conference Proceedings
Megan Borek, "Improving Image Equity: Representing Diverse Skin Tones in Photographic Test Charts for Digital Camera Characterization" in Electronic Imaging, 2025, pp 255-1 - 255-7, https://doi.org/10.2352/EI.2025.37.9.IQSP-255
Megan Borek, Alexander Schwartz, Amelia Spooner, "Evaluating Camera Performance in Face-Present Scenes With Diverse Skin Tones" in Electronic Imaging, 2024, pp 260-1 - 260-5, https://doi.org/10.2352/EI.2024.36.9.IQSP-260
Megan E. Borek, "Implementation of EMVA 1288 Standard Release 4.0 for Characterization of Image Sensors" in Electronic Imaging, 2023, pp 347-1 - 347-6, https://doi.org/10.2352/EI.2023.35.6.ISS-347
Ryan Connal, Wade Pines, Meg Borek, Timothy Bauch, Nina Raqueno, Brian d'Entremont, Alfred Garrett, and Carl Salvaggio "Utilizing Mask R-CNN for automated segmentation of condensed water vapor plumes from multi-view imagery", Proc. SPIE 11843, Applications of Machine Learning 2021, 1184309 (1 August 2021); https://doi.org/10.1117/12.2594586
Project Portfolio
Learn a little bit more about what I do and what I've done.
My current research on how consumer cameras apply image processing to different skin tones.
Building weatherproof, remotely operated camera boxes to capture images at a power plant states away.
The Freshman Imaging Project at RIT tasks first-year students with solving an imaging problem and building an imaging system from scratch.
My love for photography has been the basis for my entire academic and professional careers.
My undergraduate senior project of characterizing image sensors.
My GitHub for occasional personal coding projects.
Contact Me
Get in Touch
Feel free to reach out for collaborations, job opportunities, or to discuss potential projects.