In August, the Allen Institute announced the second cohort of post-graduate fellows. Congratulations to Anamika Agrawal (UCSD), Lu Mi (MIT), and Matthew Bull (Stanford University). These post-graduate quantitative scientists will join their colleagues from the 2021 inaugural cohort in developing novel research programs, which push the boundaries of both data and neuroscience.
The brain is the most complex piece of organized matter in the known universe. Now, with burgeoning advances in brain science methodology—Neuropixels probes that can record from 1000 neurons at once, massive optical calcium imaging in behaving animals, transcriptional data relating to 100s of distinct neuronal cell types, and a growing consensus on data on common standards across laboratories—the field is flooded with data that need interpretation. The skills of data scientists are essential to help springboard the field to the next stage of discoveries. To that end, the Shanahan Foundation Fellowship at the Interface of Data and Neuroscience was created to bring fresh perspectives into the field, encouraging data scientists to work together with leading neuroscientists at the Allen Institute and at the University of Washington.
