Machine Learning


Programming Languages:
  • Python, Matlab, R, Java, C, HTML, CSS, Bash

I conduct research using:
  • Generative AI (GAN, Stable-Diffusion)
  • Deep Learning (CNN and RNN)
  • Signal processing methods
  • Image-computable algorithms
  • Bayesian optimization
  • PCA, SVD, SVM

Statistical testing 


  • Hypothesis testing
  • Simulation (sampling distributions, p-value, confidence interval, bootsrapping)
  • Linear models (GLM, regression, ANOVA, linear-mixed-effects model)
  • Model Comparison (AIC, BIC)
  • Power analysis


Teaching Experience


  • Perception (PSYCH30, Stanford) 
  • Statistics (STATS60, Stanford)
  • MRI physics (PSYCH204, Stanford)