Kimberly Lauren Stachenfeld
Scholar

Kimberly Lauren Stachenfeld

Google Scholar ID: jNtH2WUAAAAJ
Research Scientist, Google DeepMind
reinforcement learningspatial navigationhippocampus
Citations & Impact
All-time
Citations
3,384
 
H-index
18
 
i10-index
31
 
Publications
20
 
Co-authors
76
list available
Resume
Academic Achievements
  • Work has been featured in The Atlantic, Quanta Magazine, Nautilus, and MIT Technology Review; named one of MIT Tech Review’s Innovators under 35 in 2019; publications can be found on their Google Scholar page.
Research Experience
  • Senior Research Scientist at Google DeepMind and Adjunct Assistant Professor at the Center for Theoretical Neuroscience at Columbia University.
Education
  • PhD in Quantitative & Computational Neuroscience from Princeton University (advised by Matthew Botvinick) in 2018; BS in Mathematics and Chemical & Biological Engineering from Tufts University in 2013.
Background
  • Research interests span Neuroscience and AI, particularly how brains build models of the world that support memory and prediction, and implementing these cognitive functions in deep learning models. Currently a Senior Research Scientist at Google DeepMind and Adjunct Assistant Professor at the Center for Theoretical Neuroscience at Columbia University.
Miscellany
  • Enjoys painting and drawing; likes backpacking and canyoneering with friends; holds black belts in Isshinryu Karate and Tae Kwon Do.