Cristina Savin
Dir. Graduate Studies for PhD Program/Admissions & Associate Professor of Neural Science and Data Science
Bio: Cristina Savin is an Associate Professor in Data Science and Neural Science. Her research focuses on understanding principles and biological substrates of adaptive computation across a range of problems including context dependent information processing, probabilistic computation and its neural basis, statistics of neural population responses during behavior, approximate inference, online learning, time series, neuroAI.
Research Areas:
- Probabilistic modeling
- Artificial neural networks
- Time series models
- Representation learning
- Metalearning, Applications in Neuroscience
Awards:
- Google Faculty Research Award (2020)