Curriculum Vitae
Education
New York University
2024 โ Present
Ph.D. in Cognition & Perception (Quantitative Concentration)
PI: Prof. Michael S. Landy
Research focus: Computational models of multisensory recalibration and sensorimotor planning
New York University
2022 โ 2024
M.S. in Psychology, concentration in Cognitive Neuroscience
PI: Prof. Marisa Carrasco
Research focus: Neural correlates of covert spatial attention and mechanisms of human visual perceptual properties
The University of British Columbia
2017 โ 2021
B.A. in Psychology and Behavioral Neuroscience
Experience
Using Transcranial Magnetic Stimulation (๐ TMS) and orientation discrimination tasks, we examined whether the rFEF+ (๐ the putative human homolog of the right macaque frontal eye field) is a critical neural correlate for exogenous attention. By measuring contrast-response functions (CRFs) and perceptual sensitivity, we found that stimulating the rFEF+ did not eliminate the exogenous attentional gain. These results complete a double dissociation between rFEF+ and V1/V2, providing evidence that voluntary and involuntary spatial attention are mediated by separate system-level computations and neural pathways.
This project investigated the system-level computations underlying perceptual heterogeneities across eccentricity and polar angle. Using the equivalent noise method (Pelli D.G. 1981, Lu Z.-L. & Dosher B.A. 2008) and the Perceptual Template Mode (Lu Z.-L. & Dosher B.A. 1998), we modeled how gain, internal noise, and nonlinearity affect orientation discrimination. Our study found that while eccentricity effects are driven by multiple computational factors, polar angle asymmetries are uniquely tied to variations in gainโparalleling known distributions of neuronal count in the visual cortex.
This project utilizes ๐ Virtual Reality to investigate whether people have internal estimation of their motor noise during 3D reaching movements. Using an open-loop design to minimize visual feedback and maximize reliance on internal models, we tested how participants shift their aim points in response to penalty regions placed along different spatial axes. The results provide insight into whether human motor planning accounts for the directional covariance of motor noise.
This project conducted clinical neuroscience research on memory consolidation in epilepsy patients during my time at the ๐ NYU Grossman School of Medicine. I performed EEG analysis and automated Persyst spike detection to investigate the mechanisms behind accelerated long-term forgetting in epilepsy patients.
This investigation explored the dissociation between symbolic and situational mathematical abilities across development. We used online and offline tasks and assessed 183 sixth-graders and 180 seventh-to-eighth-graders. Our results revealed that while symbolic ability (e.g., fraction division, number series) increases with age, situational ability (e.g., constructing appropriate contexts for arithmetic formulas) actually declines. These findings suggest that current educational scaffolds prioritize procedural computation over conceptual application, necessitating a re-evaluation of math curricula to bridge this developmental lag.
Skills
Programming Languages: MATLAB, Python (NumPy, SciPy, Pandas), R
Experimental Techniques: Psychophysics, Eye-tracking, Unity/VR, Transcranial Magnetic Stimulation
Experimental Design: A/B Testing, Survey Design, Online Data Collection
Awards and Honors
NYU Graduate School of Arts and Science MacCracken Fellowship
NYU 2025 Dean's Conference Fund Award
NYU Graduate Student Research Conference Award
Teaching
Undergraduate Social Neuroscience
Fall 2023
Undergraduate Perception
Spring 2024
Undergraduate Fundamental Statistics
Summer 2025