Ph.D candidate at the Gardner Lab, Department of Psychology- Collect psychophysics and fMRI data to understand human visual perception and uncertainty.- Computational modeling using tools from dynamical systems, Bayesian statistics and neural networks.

Visiting Scholar, during COVID, at Cognitive and Systems Neuroscience Lab (CSNL), Department of Brain and Cognitive Sciences- RNN research group: design recurrent neural networks to model representations and behavior during human visual working memory

Research Assistant at the Blumenfeld Lab, Yale School of Medicine, Department of Neurology- Study Correspondent for Childhood Absence Epilepsy Project: Managed protocol; analyze behavioral,fMRI and EEG; built neural models of absence seizures; recruited patients for the study.- Data analyses for projects including: Human Normal Consciousness Testing Project,Absence Epilepsy in GAERS rats, In-Vivo Whole-cell Recording of PPT Neurons During Seizures