Simon Schultz

Simon Schultz is Professor of Neurotechnology and Director of the Center for Neurotechnology at Imperial College London. He originally trained in physics, computer engineering and microelectronics before studying for a DPhil in computational neuroscience at Oxford, and carrying out postdocs in experimental neuroscience at NYU and UCL. His group work at the interface of neuroscience and engineering: developing new technologies to reverse engineer brain circuitry, and treat brain disorders. Current his main research focus is on understanding the brain mechanisms underpinning episodic memory, working memory and related cognitive functions. He is Director of the Centre for Neurotechnology at Imperial College London.

Education

• DPhil, Oxford University, 1998 (Computational Neuroscience, supervised by Prof Edmund Rolls)
• ME(Res) Sydney University, 1995 (Electrical Engineering)
• BSc Monash University, 1994 (Physics, Applied Mathematics)
• BE (Hons I) Monash University, 1994 (Electrical and Computer Systems Engineering)

Employment History

• 2017- Professor of Neurotechnology, Imperial College London
• 2013-17 Reader in Neurotechnology, Imperial College London
• 2008-13 Senior Lecturer, Imperial College London
• 2004-8 Lecturer, Imperial College London
• 2003-4 Senior Research Fellow, UCL (lab of M Häusser)
• 1999-2003 HHMI Research Associate, New York University (lab of JA Movshon)

Other Positions

• 2016- Affiliate Faculty, Sainsbury-Wellcome Centre for Neural Circuits and Behaviour, UCL
• 2016-17 Visiting Senior Research Fellow, Jesus College, Oxford
• 2016-17 Visiting Fellow, MRC Brain Network Dynamics Unit, Oxford
• 2004-16 Affiliate Faculty, Gatsby Computational Neuroscience Unit, UCL

Selected Fellowships, Honours & Awards

• 2020 Royal Society Translation Award
• 2015- Fellow of the Institute of Engineering & Technology (FIET)
• 1998-9 Senior Scholar, Corpus Christi College, Oxford
• 1995-8 Oxford McDonnell-Pew Scholar in Cognitive Neuroscience

Selected Recent Grants

• NeuroMod+: Co-creation for next-generation neuromodulation therapeutics. EPSRC/MRC, 2022-25, £1.25M. PI.
• Statistical Physics of Cognition. EPSRC/Wellcome, 2022-25, £2.2M. PI.
• Cerebral organoid models for optical investigation of neural circuit dynamics in neurodegenerative diseases. NC3Rs, 2021-23, £75K. PI.
• Three-photon microscopy suite. Wellcome, £510K, 2021-26. PI.