Postdoctoral Research Scientist

Harvard Medical School

About Me

I am a postdoctoral research fellow studying neuroscience at Harvard Medical School, in the lab of Dr. Marge Livingstone. My research focuses on understanding human visual perception - specifically, I’m interested in how the brain transforms sensory inputs into the rich perceptual experience that we use to guide our behavior.

A primary goal of my research program has been to characterize the geometry of sensory representations in human visual cortex and to model the cortical computations involved in using these representations for goal-driven behavior. Key to this process is the role that attention plays in flexibly extracting and modulating sensory representations via task-dependent readouts.

I’m also interested in the similarities and differences between the human visual system and state-of-the-art computational models of vision, such as deep neural networks. How are humans so good at certain tasks that are difficult for artificial neural network models of vision but so poor at other tasks which deep neural networks find trivial?

I seek to answer these questions using a combination of functional neuroimaging, electrophysiology, visual psychophysics, and computational modeling.

In 2022, I completed my PhD in Psychology and Computational Cognitive Neuroscience at Stanford, where I was advised by Dr. Justin Gardner. My doctoral research examined the neural representations underlying the ability of humans (and deep convolutional neural networks) to visually perceive and recognize objects and textures. Prior to that, I was an undergraduate at UC Berkeley, where I worked in the lab of Prof. Mark D’Esposito. From 2015 to 2016, I was a visiting researcher in the lab of Dr. Martin Rolfs at Humboldt Universitat / BCCN Berlin.

In addition to research, I am also passionate about teaching and have designed, taught, and assisted in several courses at UC Berkeley and Stanford at the graduate and undergraduate levels on topics ranging from computer vision to cognitive neuroscience to the science of meditation.


  • Computational Neuroscience
  • Vision Science
  • Attention
  • Texture Perception


  • PhD in Psychology, 2022

    Stanford University

  • BA in Computer Science, 2016

    University of California, Berkeley

  • BA in Cognitive Science, 2016

    University of California, Berkeley


I have served as a graduate student instructor for the following courses at Stanford University:

  • Psych 50: Intro to Cognitive Neuroscience (Undergraduate-level, head TA)
  • Psych 202: Foundations of Cognition (Graduate-level)
  • Psych 30: Perception (Undergraduate-level)
  • NEPR 207: Cognitive Neuroscience Core (Graduate-level)

In addition, I teach AI to high school students, through the Inspirit AI institute.