Work Experience

Vision Scientist Intern

Apple Inc., May-Aug 2024

  • Conducted literature review to identify gaps in existing low-level vision metrics
  • Designed and executed experiments to model and refine the metrics
  • Presented findings and final model to cross-functional teams

Education

Ph.D., Vision Science

Advisor: Prof. Rhea Eskew, Northeastern University, 2020 - 2025 (expected)

Master of Arts, Vision Science

Advisor: Prof. Robert Sekuler, Brandeis University, 2018 - 2020

Bachelor of Engineering, Computer Science

Chongqing University, 2014 - 2018


Research Experience

Perceptual Scaling and Discrimination
  • 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
  • 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
  • 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)

Asymmetries between achromatic increments and decrements: Perceptual scales and discrimination thresholds


Selected Presentations

Poster, Vision Science Society, May 2023

The Asymmetry between Achromatic Increments and Decrements in Perceptual Scaling and Discrimination

Poster, Fall Vision Meeting, Oct 2022

Achromatic Increments and Decrements are Different: the Relationship between Scaling and Discrimination

Talk, Vision Science Society, May 2022

Perceptual Scaling of Suprathreshold Chromatic Increments and Decrements Using Maximum Likelihood Difference Scaling


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