| Faeze Aminmansoor | Fairhall and Svoboda | Latent states and dynamical neural system; HMM, GLM, RNN | graduate student |
| Luke Bun | Horowitz | Object identification, image segmentation, and cortical color processing | graduate student |
| Ryan Canfield | Orsborn and Horowitz | Brain-machine interfaces, Plasticity, Neural Encoding and Decoding, Optogenetics | graduate student |
| Shirui Chen | Shea-Brown | Neural Dynamics, Recurrent Neural Networks | graduate student |
| John Ferre | Fairhall | Computational Neuroscience, Physics, Biophysics | graduate student |
| Devon Griggs | Yazdan-Shahmorad | neural engineering and optogenetics | graduate student |
| Yuhan Helena Liu | Shea-Brown | Neural network theory, biologically plausible learning rules, applied linear algebra, dynamical systems | graduate student |
| Preston Jiang | Neural Systems Lab | Predictive coding, Bayesian Inference, Generative Models | graduate student |
| Dan Kessler | Witten | statistical analysis of networks | postdoctoral fellow |
| John Kruper | Rokem | Diffusion MRI, Machine Learning | graduate student |
| Po-Chen Kuo | Fairhall | Computational Neuroscience | graduate student |
| Ziyu Lu | Shea-Brown | computational neuroscience | graduate student |
| Maneeshika Madduri | Shea-Brown | brain-machine interfaces, co-adaptation, motor learning, game theory | graduate student |
| Katherine Perks | Orsborn | sensorimotor learning, internal models, brain-computer interfaces | graduate student |
| Pavithra Rajeswaran | Orsborn | Credit assignment in BCI learning | graduate student |
| Ryan Ressmeyer | Horwitz | High-Resolution Digital Eye Tracking & Early Cortical Vision | graduate student |
| Scott Sterret | Fairhall | Computational Ethology, Olfaction, Navigation | graduate student |
| Vaibhav Thakur | Basso | Memory and Decision Making, Latent Dynamical Systems | graduate student |
| Doris Voina | Kutz | flexible network architectures, bio-inspired deep learning, vision, learning & computational modeling in Neuroscience | postdoctoral fellow |
| Daniel Zdeblick | Shea-Brown | Interpretable models of neural spike data | graduate student |
| Patrick Zhang | Fairhall | Computational Neuroscience | graduate student |
| Ilse Dippenaar | Fairhall | Birdsong, biologically plausible learning, network dynamics | graduate student |
| Srinidhi Naidu | Rieke | Sensory signal processing in retina | undergraduate student |
| Elliot Abe | Bing Brunton | Sensorimotor Control, Deep Learning, Reinforcement Learning | postdoctoral fellow |
| Daniel Kessler | Witten | Statistical Analysis of Networks | postdoctoral fellow |
| Matt Helton | Shea-Brown | Neural dynamics, Koopman theory, deep learning | postbac student |
| Jianqiao (Lawrence) Hu | Walker and Bing Brunton | Reinforcement learning and naturalistic behaviors | graduate student |
| Harsha Gurnani | Bing Brunton | Dynamical systems, feedback control, learning, internal models | postdoctoral fellow |
