Jane Wang

Senior Staff Research Scientist at DeepMind

United Kingdom

About

Interested in applying principles of brain function and cognition to help machines learn better.

Experience

  • Google DeepMind (11 yrs)
    • Senior Staff Research Scientist
      May 2025 - Present · 1 yr 3 mos

    • Staff Research Scientist
      May 2021 - May 2025 · 4 yrs 1 mo

    • Senior Research Scientist
      Nov 2017 - May 2021 · 3 yrs 7 mos

  • Postdoctoral Fellow at Northwestern University, Feinberg School of Medicine
    Sep 2012 - Aug 2015 · 3 yrs

    • Responsible for analyzing large-scale human brain-imaging (fMRI) and time series (EEG) datasets, implementing multivariate, graph theoretical, statistical, and time series analyses, as well as creating graph visualizations and using dimensionality reduction techniques • Designed, conducted, and analyzed experiments investigating memory and decision-making, particularly how memory-based decisions are supported by neural activations and interactions within the brain, allowing for modeling of human learning and information processing • Designed, set up, and maintained SQL database to securely manage participant information and data, massively facilitating recruitment and assessment of demographics • Investigated the effects of transcranial magnetic stimulation on memory performance and resting-state brain networks, leading to a first-author publication in Science • Experienced in grant-writing, as evidenced by being awarded the National Institutes of Health NRSA Individual Fellowship (2013-2016): $161,802 • Travel and conference awards totaling > $4,000 • Postdoctoral Fellow Award from the Cognitive Neuroscience Society for best poster (2014) • Mentored 2 undergraduate students and 3 graduate rotation students

  • Postdoctoral Fellow at Northwestern University
    2010 - 2012 · 2 yrs

    • Interfaced with two highly distinct labs to forge a collaborative effort between engineering and cognitive neuroscience, resulting in a novel method of modeling functional networks of large-scale brain data • Mentored 1 high school student and 2 undergraduate students

  • Graduate Student at University of Michigan
    Jun 2005 - Sep 2010 · 5 yrs 4 mos

    • Responsible for computational simulation of memory in simplified neuronal networks, modeling hippocampal-cortical interactions during memory consolidation • Developed and optimized novel experimental techniques to image neuronal processes in cell cultures • Founder and lead organizer for Physics Demonstration day at local middle school (with 250 middle school students and 25 graduate students participating; 2008-2010; event still ongoing to this day) • Co-organizer for Molecular Biophysics Training Grant Symposium for March 2010 (2009-2010) • Co-Chair for Physics Graduate Student Symposium (summer 2008) • Rackham Pre-doctoral Fellowship (2009-2010): $27,000+tuition • National Institutes of Health Training Grant (2007-2009): $49,000+tuition • University of Michigan Rackham Regents Fellowship (2005-2007): $48,000+tuition • National Science Foundation Graduate Research Fellowship Honorable Mention (2006)