Our group is only starting to grow; we interact with a number of other groups here in Cambridge, including the control theory group (Rodolphe Sepulchre, Tim O'Leary), and other groups in the Computational and Biological Learning Lab (computational neuroscience & machine learning).

Mahdieh Sadabadi is currently a research associate at CBL. Prior to that, she was a postdoctoral fellow in the Division of Automatic Control at the Department of Electrical Engineering, Linköping University in Sweden. She received her Ph.D. in Systems and Control Theory from Electrical Engineering Department, Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland in February 2016. She obtained a BSc and MSc with honors in Electrical Engineering from Tehran Polytechnic. She was a visiting scholar at LAAS-CNRS in Toulouse, France and Ecole Polytechnique de Montreal in Montreal, Canada. Her research interests are centered around fixed-structure controller design, control of large-scale uncertain systems, and their applications to energy systems, microgrids/smart power grids, and computational neuroscience.
Alberto Bernacchia joined Máté Lengyel's group as a senior research associate in 2016, and is co-supervised by me. He is interested in the dynamics of neural circuits during learning, memory storage and retrieval, decision-making and perception.
Rodrigo Echeveste joined Máté Lengyel's group as a postdoc in 2016, and is co-supervised by me. He studied Physics for his BCs and MSc at Balseiro Institute, in Argentina, working for his thesis with Inés Samengo, on categorization in autistic children. He later obtained a PhD in Physics from the Goethe University in Frankfurt, Germany, where he worked in the group of Claudius Gros, developing synaptic plasticity rules. He is interested in dynamics of neural networks, synaptic plasticity, and learning.
Laurence Aitchison did a PhD at the Gatsby Computational Neuroscience unit with Peter Latham, and recently joined Máté Lengyel's group as a postdoc, co-supervised by me. He has interests in Bayesian models of circuits, synapses, and human behaviour, as well as broader interests in social decision making, sampling-based probabilistic inference, and systems biology.

I am also co-supervising Jake Stroud (primarily supervised by Tim Vogels in Oxford) on his PhD project.