Areas of Interest
Computational Neuroscience, Real-time Machine Learning, Systems Neuroscience, Neural Engineering
Honors & Awards
- Career Award at the Scientific Interface, Burroughs Wellcome Fund (2021)
- Swartz Foundation Fellow for Theory in Neuroscience (2020)
- Ruth K. Broad Postdoctoral Fellowship Award, Ruth K. Broad Biomedical Research Foundation (2020)
- Leading Edge Fellow, selected as outstanding postdoc in the biomedical sciences, Leading Edge Symposium 2020
Credentials
- Ph.D. Physics, Duke University, 2018
- M.S. Electrical & Computer Engineering, Duke University, 2018
- B.S. Physics, NC State University, 2012
- B.S. Computer Science, NC State University, 2012
Published Articles or Reviews
- Bubblewrap: Online tiling and real-time flow prediction on neural manifolds. Draelos, A., Gupta, P., Jun, N. Y., Sriworarat, C., and Pearson, J. (2021). "Bubblewrap: Online tiling and real-time flow prediction on neural manifolds." Advances in Neural Information Processing Systems 34 (accepted; also at arXiv:2108.13941)
- Improv: A flexible software platform for adaptive neuroscience experiments. Draelos, A., Nikitchenko, M., Sriworarat, C., Sprague, D., Loring, M. D., Pnevmatikakis, E., Giovannucci, A., Naumann, E. A., and Pearson, J. M. (2021). "improv: A flexible software platform for adaptive neuroscience experiments." bioRxiv:10.1101/2021.02.22.432006
- Online Neural Connectivity Estimation with Noisy Group Testing. Draelos, A., Pearson, J. M. (2020). "Online Neural Connectivity Estimation with Noisy Group Testing." Advances in Neural Information Processing Systems 33.'