I'm a Neurobiology & Behavior PhD student at Columbia (Nuttida Lab), working on decision-making under uncertainty using behavioral tasks, computational modeling, and human single-neuron/iEEG recordings. I'm increasingly focused on building interpretable models of cognition and working at the intersection of neuroscience and AI.

• Decision-making under uncertainty (social inference, recognition memory, threat learning)
• Behavioral task design (PsychoPy, VR/Unreal Engine, AR on Meta Quest)
• Computational modeling (drift diffusion models, Bayesian learning models, signal detection theory)
• Human single-neuron and iEEG analysis
• Neuro-AI alignment
• Miscellaneous tools for researchers

• Task implementations used in human experiments
• Behavioral analysis and modeling code
• Data validation and preprocessing scripts
• Contributions to larger research toolchains (including prior work on neuroimaging pipelines such as xcp_d)
• Personal projects developing tools for researchers

Some repositories have project- or paper-linked names and are kept stable for reproducibility.

• Python, R, shell scripting
• Behavioral experiments, modeling, and analysis
• Large research pipelines and collaborative codebases

I'm happy to collaborate on:

• Decision-making and cognitive experiments
• Behavioral modeling and task design
• AI interpretability / neuro-AI alignment projects
• Research code that prioritizes clarity and reproducibility, simplifying and/or standardizing the scientific process

If something here is useful, feel free to use it or reach out.