Stanford University
Ph.D. candidate in Psychology
2021–2027 (expected)
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Data analysis. Hierarchical Bayesian modeling; GLMMs; structural equation modeling; longitudinal and multilevel analysis; reinforcement-learning modeling; eye-tracking data processing; psychophysiological signal processing (ECG, HRV); fMRI preprocessing and analysis.
Software. Proficient: R (tidyverse, lme4, brms, lavaan), Python (NumPy, Pandas, PyTorch, scikit-learn, Matplotlib), Mplus, SPSS, Amos, HLM, Git/GitHub. Intermediate: JavaScript (jsPsych), webppl, MATLAB, FSL.