cv/experience
Basics
| Name | Clara T. Friedman |
| Label | Vision Science PhD Candidate. Optometrist |
| cl.friedman@berkeley.edu |
Education
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2025 - present Berkeley, California
PhD
University of California, Berkeley
Vision Sciences
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2021 - 2025 Berkeley, California
O.D.
University of California, Berkeley
Doctor of Optometry
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2017 - 2021 Montréal, Québec
B.Sc.
McGill University
Neuroscience
Awards and Honours
- 2025
EssilorLuxottica OD/PhD Scholarship
American Academy of Optometry
- 2021 - 2025
School of Optometry Departmental Award
Herbert Wertheim School of Optometry and Vision Science
- 2022
Summer Research Grant
Herbert Wertheim School of Optometry and Vision Science
NIH T35 Integrated Summer Research Program
- 2017 - 2021
- 2020
Tomlinson Education Award for Change
McGill University
- 2018, 2019
Tomlinson Engagement Award for Mentoring
McGill University
- 2018
Recruitment Scholarship
Vision Science Research Network
- 2018
Faculty of Science Scholarship
McGill University
- 2017
Achievement Scholarship
Government of British Columbia
- 2017
District/Authority Scholarship
Government of British Columbia
Work
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2025 Amazon Lab126
Specialized HDE Intern - Emerging Optics
- Developed optical simulations using LightTools to analyze reflection characteristics in emerging display technology, identifying key parameters affecting visual comfort
- Designed and conducted two user studies: (1) real-world usability testing with prototype devices and (2) psycho-physical experiments using MATLAB and programmable lighting to establish perceptual thresholds and preferences
- Employed rigorous statistical methodology including non-parametric analyses, correlation studies, and predictive modeling to translate optical measurements into user experience metrics
- Created comprehensive technical documentation including literature reviews, experimental protocols, and data visualization, and communicated technical findings and design implications to stakeholders across product management, human factors, product innovation, optical engineering, and safety/reliability teams
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2021 - 2025 University of California, Berkeley
Herbert Wertheim School of Optometry and Vision Science
Research Assistant
Advisor: Dr. Emily Cooper
- Built and calibrated a video-recording set-up to collect high-FPS datasets to examine motion and disparity statistics of urban and natural scenes
- Coded an automated data processing pipeline on MATLAB to examine video stills, employed several computer vision algorithms to calculate optic flow, generated semantic segmentations of video stills using pretrained computer vision object recognition models with the Detectron2 codebase, as well as other data analysis and figure creation.
- Developed an experiment and collected eyetracking data utilising the Eyelink 1000 Plus eyetracker. Utilised Psychtoolbox for stimulus generation and presentation of moving dot fields to study ocular following response
- Conducted data collection and analysis two studies, one investigating the use of navigational cues on the HoloLens as a mobility aid in low-vision patients and the other studying perceptual motion priors in individuals with normal versus impaired vision
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2022 University of California, Berkeley
Redwood Center for Theoretical Neuroscience
NIH T35 Integrated Summer Research Program
- Trained a sparse coding algorithm to extract binocular features from stereo images of the natural world and analysed the resultant basis functions
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2018 - 2021 McGill University
Department of Ophthalmology and Vision Science
Research Assistant
Advisors: Dr. Robert F. Hess, Dr. Alexander Baldwin
- Worked on the McGill team for development of digital clinical measurement applications for clinical trials of an amblyopia-correcting video game (Dig Rush) in a collaboration between Novartis, Ubisoft, and McGill University
- Coded components of interactive browser-based tests for binocular suppression, stereovision, and screen calibration in C# using Unity3D, including scripted dichoptic stimuli and implementation of staircase algorithms.
- Coded and ran psychophysical experiments presented on FOVE eye-tracking virtual-reality headsets using Unity3D software, one aiming to quantify the sensitivity of stereopsis around the visual field and the other measuring vergence movements in response to depth percepts moving on binocular screens.
- Scripted and ran a stereoscopic perception test on MATLAB with Psychtoolbox that leveraged the sensitivity of binocular depth perception to detect monocular retinal abnormalities, such as those symptomatic of early-stage age-related macular degeneration.