People

Marcus Ghosh

Group leader

Marcus completed his BSc, PhD and medical degree (MBBS) at University College London before pursuing three postdoctoral fellowships - first at Sorbonné University and then at Imperial College London. In his PhD, he designed a machine-learning tool kit to describe animal behavior at multiple timescales. Across his fellowships, he modelled neural circuits using a range of neural network architectures and learning algorithms. Now, he leads the Neural forms group at Imperial.

Lakshaa Srishankar

PhD student

Before starting her PhD at Imperial, Lakshaa studied neuroscience at Queen Mary (BSc), and artificial intelligence for biomedicine and healthcare at University College London (MSc). In her PhD, Lakshaa is exploring how single neuron structure influences network dynamics and function. To do so, she is developing new network models which accommodate neurons with complex, diverse morphologies.

Kamand Mesbah

PhD student

Before joining the group, Kamand studied computer science (BSc and MSc) and worked as a research assistant. Her PhD focusses on predictive multisensory processing. That is, how does the brain combine sights, sounds and other sensations, and forecast what we expect to observe next. In this direction, she uses artificial neural networks to explore what circuits can make multisensory predictions, and how they do so.

Yishu Zhang

PhD student

Co-supervised by Dr Dan Goodman (Imperial)

Prior to joining Imperial, Yishu studied computer science (BSc) and operations research and information engineering (MEng) at Cornell, and worked at both Duolingo and Microsoft. Yishu's PhD aims to discover when and why heterogeneity benefits neural circuits. To do so, she develops artificial neural networks with different heterogenous properties and compares their function.

Anna Obure

PhD student

Co-supervised by Dr Florencia Iacaruso (The Crick) and Dr Dan Goodman (Imperial)

Before her PhD, Anna studied computer science (MEng) at the University of Southampton. Her PhD focusses on multisensory learning. She tackles computational questions - like what architectures and learning rules best suit multisensory learning? And makes use of experimental data from mice.

Elliott Slough

PhD student

Co-supervised by Dr Kirsty Bannister (Imperial)

Prior to his PhD, Elliott studied biomedical science (BSc) at Aston University, trauma science (MSc) at the University of Birmingham and worked as a research assistant. Elliott's PhD combines experimental work in mice with computational modelling, to better understand the neurobiology of pain.