My overarching goal is to investigate human cognition in naturalistic environments using computational models. I use naturalistic stimuli in my research because they offer rich and dynamic information, similar to our everyday experiences. I aim to design experiments that capture cognitive processes as they occur in the real world, so that my findings to be generalized to real-world scenarios. Read more about naturalistic stimuli in my presentation on the difference between reductionist vs. naturalistic stimuli.

My current project focuses on the decision making in spatial navigation in virtual reality, supervised by Dr. Robert Wilson. I began my graduate studies at the University of Arizona in 2022 before transferring to Georgia Tech in 2024. My current project involves modeling how humans integrate multi-sensory inputs during VR navigation, using mobile EEG and motion data. Read more about why VR is naturalistic in my paper in Nature Reviews Psychology and my notes on Spatial Cognitive Map.

My undergraduate project on investigating the impact of time and event segmentation on episodic memory using movie stimuli, advised by Dr. Morgan Barense, was presented at Context and Episodic Memory Symposium and Lake Ontario Visionary Establishment.

Outside the lab, I enjoy working on projects at the intersection between cognitive neuroscience and machine learning. I am the EEG Machine Learning lead at the Neurotech University of Toronto for the 2022 summer project on the Brain–Computer Interface speller app that spells desired letters on a virtual keyboard using EEG signal.

If you are interested in my work or considering a collaboration, please feel free to contact me by email.