#  Zach Cohen 

he/him/his

 

 

 



   ![Zach Cohen](/sites/g/files/omnuum5476/files/styles/hwp_4_5__480x600/public/pinphd/files/zach_cohen_-_zach_cohen.jpeg?itok=TrUp6mS5) 

 



 





 

**Thesis advisor:** Jan Drugowitsch  
**Rotations:** Jan Drugowitsch, Sam Gershman  
**For me, home is:** Los Altos, California  
**Undergraduate degree(s):** AB Computer Science  
**Research experience before PiN:** Before coming to PiN, I worked with Jonathan Pillow at Princeton during my undergraduate studies. We used recurrent neural network models to study computational principles underlying context-dependent evidence accumulation and decision-making. Prior to that, I studied reward-motivated exploration behavior with Elizabeth Gould, also at Princeton. Before that, I studied the neuroprotective properties of various clinical anesthetics with Bruce MacIver at Stanford.  
**Current research interests:** I am broadly interested in leveraging theoretical models to understand the circuit- and population-level computations that subserve flexible behaviors in the cognitive domain, and, in particular, the neural implementations of these computations. I am especially interested in studying computations that support learning, perceptual decision-making and memory.  
**Interests outside lab:** Running, reading, making (and drinking) coffee, writing poetry and electronic music

 

 

 





 

 

- ## Entry year
    
     [2021-2022](/entry-year/2021-2022)
- ## People
    
     [Student](/people/student)