Work Experience
Apple Inc.
Vision Scientist Intern, May 2024 - Aug 2024
Education
Northeastern University
Ph.D., Vision Science, Advisor: Prof. Rhea Eskew, 2020 - 2025 (expected)
Brandeis University
Master of Arts, Vision Science, Advisor: Prof. Robert Sekuler, 2018 - 2020
Chongqing University
Bachelor of Engineering, Computer Science, 2014 - 2018
Research Experience
- Perceptual Scaling and Discrimination
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- Designed and conducted many psychophysical experiments with MATLAB PsychToolBox. Analyzed results in MATLAB and R
- Used Maximum Likelihood Difference Scaling (MLDS), and Two Alternative Forced Choice (2AFC) as main research methods
- Developed mathematical models relating perceptual scales and visual discrimination, near and above thresholds, along multiple color directions in cone contrast space (Achromatic, S-cone isolating, etc)
- Developed optimized code to automatically calibrate visual displays (CRTs, LED displays) in terms of brightness, temporal frequency, and color, using multiple devices (oscilloscopes, photometers, and spectroradiometers)
- Presented results in Vision Science Society (VSS), Fall Vision Meeting (FVM)
- Blurry Alphabet Recognition with Deep Learning
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- Trained deep learning neural networks to simulate the perceptual differences of alphabets under different spatial frequency conditions with PyTorch
- Used attention map analysis to investigate how life-long exposure to different degrading levels influences perception
- Frequency and Duration Influence Auditory Discrimination
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- Quantified how pure tone frequency and duration affect pitch discrimination thresholds, revealing the importance of both temporal and spectral cues
- Carried out statistical analysis with R (hypothesis testing, logistic regression, ANOVA, etc.)
Selected Publications
- Shi, Eskew (2024)
Selected Presentations
- Poster, Vision Science Society, May 2023
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The Asymmetry between Achromatic Increments and Decrements in Perceptual Scaling and Discrimination
- Poster, Fall Vision Meeting, Oct 2022
- Talk, Vision Science Society, May 2022
Skills
Computer Science
- Algorithms and Data Structures
- Deep Learning
- Computer System
- Computer Graphics
- Operating System
Programming Languages
- Python
- C++
- MATLAB
- R
Vision Science
- Psychophysics
- Monitor Calibration
- Color Space
- Statistical analysis
- Linear Algebra
Operating Systems
- Linux
- Windows
- Mac OS