Iβm a research fellow at the Learning and Decision-Making Unit at the National Institute on Drug Abuse (NIDA), which is part of the National Institutes of Health (NIH) β the largest biomedical research agency in the world. I earned my Ph.D. in Psychology from The Ohio State University, where I specialized in cognitive and computational neuroscience in the Model-based Cognitive Neuroscience Lab.
My work bridges psychology, cognitive neuroscience, and computational modeling to understand how people learn, make decisions, and β more broadly β how intelligence emerges in the human brain.
Python, R, MATLAB, Git, Bash, PySpark, Jupyter
Scikit-learn, PyTorch, TensorFlow, XGBoost, deep generative models
Bayesian inference, generalized linear models, mixed-effects models, model simulation
Data wrangling, data visualization, experimental design, A/B testing
Drift diffusion models, reinforcement learning models, model-based analysis of behavior and neuroimaging data
fMRI preprocessing and analysis, model-based fMRI, SPM, transcranial magnetic stimulation, data quality control