i'm fascinated by how people think, feel, act, and live.
broadly, i study the neural underpinnings of higher-level cognition, including learning and decision-making processes.
* research: [structure | transfer | reinforcement] learning . . . [working | episodic] memory
* other: machine learning . . . ai safety . . . behavioral economics
some projects i'm a part of:
- learning rate variance
- tower hypotheticals
- 3d micropillars
mice can show large individual differences in learning rates on simple tasks.
why? tackling this problem with an experimental + latent variable model approach.
peter l, athena a
kl → kale
michael a, arthur g
the goal is to model people's judgments of physical stability using a noisy physics engine that can simulate possible counterfactuals. we ran several mturk experiments and confirmed that our approach better modeled intuitive human judgments.
tobi g, kevin s, josh t
i wrote a java processing suite to model the geometry of 3d-printed high-res micropillar structures, which can collectively bend to represent a vector field. using a prepared image as input, we output a representation of the resulting structure based on image gradient properties.
a selection of photos i've taken since picking up photography in summer '18. email me for higher-res versions.