Sheffield Institute for
Translational Neuroscience

Professor Li Su

Professor of Neuroimaging

Research Interests

  • Conduct multimodal and longitudinal EEG, MRI and PET studies to discover clinically relevant biomarkers for neurodegenerative disorders (including Parkinson’s disease, Alzheimer’s disease), motor neuron disorders, stroke and other related conditions. Apply machine learning and other advanced imaging analysis to the imaging, genetic, blood and other clinical data.
  • Develop advanced imaging analysis methods for basic and clinical neuroscience.
  • Develop and validate AI models using clinical and neuroimging data. Use the model to predict therapeutic effects of potential drug targets on normalising neural network functions from computer simulations.
  • Early detection and prevention of dementia. In particular, apply multimodal imaging and VR to find earliest signals for functional declines and pathological abnormalities. Develop and test pharmaceutical and non-pharmaceutical interventions to slow or reverse disease progression for those with increased risk of developing dementia.

Principal Funding Sources

  • Alzheimer’s Research UK
  • Alzheimer’s Society
  • The Lewy Body Society
  • Addenbrooke’s Charitable Trust
  • Isaac Newton Trust


  1. Elizabeth McKiernan, Elijah Mak, Marielena Douvani, Katie Wells, Craig Ritchie, Guy Williams, Li Su*, John O’Brien* (2020) Regional hyperperfusion in cognitively normal APOE e4 allele carriers in mid-life: analysis of ASL pilot data from the PREVENT-Dementia cohort. Journal of Neurology, Neurosurgery, and Psychiatry
  2. Jianmin Zeng, Manru Liu, Xingrong Hou, Qinglin Zhang, Hong Chen, Li Su (2020) Can genes modulate anchoring effect? International Journal of Psychology.
  3. Binghan Zheng, Sandra Báez, Li Su, Xia Xiang, Susanne Weis, Agustín Ibáñez, Adolfo M. García (2020) Semantic and attentional networks in bilingual processing: fMRI connectivity signatures of translation directionality, Brain and Cognition.
  4. A McKeever, AF Paris, J Cullen, L Hayes, CW Ritchie, K Ritchie, AD Waldman, K Wells, A Busza, I Carriere, JT O'Brien*, L Su* (2020) Hippocampal subfield volumes in middle-aged adults at risk of dementia, Journal of Alzheimer’s Disease.
  5. Maria-Eleni Dounavi, Elijah Mak, Katie Wells, Karen Ritchie, Craig W. Ritchie, Li Su*, John T. O’Brien* (2020) Volumetric alterations in the hippocampal subfields of subjects at increased risk of dementia, Neurobiology of Ageing. 91: 36-44
  6. Nicolas Nicastro; Elijah Mak; Guy B Williams; Ajenthan Surendranathan; William R Bevan-Jones; Luca Passamonti; Patricia Vazquez Rodriguez; Li Su; Robert Arnold; Tim D Fryer; Young T Hong; Franklin I Aigbirhio; James B Rowe; John T O'Brien (2020) Correlation of microglial activation with white matter changes in dementia with Lewy bodies, NeuroImage: Clinical.
  7. Maura Malpetti, Rogier A. Kievit, Luca Passamonti, P. Simon Jones, Kamen A. Tsvetanov, Timothy Rittman, Elijah Mak, Nicolas Nicastro, W. Richard Bevan-Jones, Li Su, Young T. Hong, Tim D. Fryer, Franklin I. Aigbirhio, John T. O’Brien and James B. Rowe (2020) Microglial activation and tau burden predict cognitive decline in Alzheimer’s Disease, Brain. 143(5):1588-1602
  8. Diego Castillo-Barnes, Li Su, Javier Ramrez, Diego Salas-Gonzalez, Francisco J. Martinez-Murcia, Ignacio A. Illan, Fermin Segovia, Andres Ortiz, Carlos Cruchaga, Martin R. Farlow, Chengjie Xiong, Neil R. Graff-Radford, Peter R. Schofield, Colin L. Masters, Stephen Salloway, Mathias Jucker, Hiroshi Mori, Johannes Levin, Juan M. Gorriz (2020) Autosomal Dominantly Inherited Alzheimer Disease: Analysis of genetic subgroups by Machine Learning, Information Fusion. 58: 153-167
  9. Yujing Huang, Li Su, Qingguo Ma (2020) The Stroop effect: An activation likelihood estimation meta-analysis in healthy young adults, Neuroscience Letters 716: 134683
  10. Yujing Huang, Xuwei Pan, Li Su, Yang Sun, Yan Mo, Qingguo Ma (2019) The role of information sentiment in popularity on social media: a psychoinformatic and electroencephalogram study, Social Influence, 14:3-4, 133-146
  11. JT O’Brien, MJ Firbank, K Ritchie, K Wells, G Williams, CW. Ritchie, L Su (2019) Association between midlife dementia risk factors and longitudinal brain atrophy: The PREVENT-Dementia study, Journal of Neurology, Neurosurgery, and Psychiatry, 91:158-161.
  12. L. Passamonti, K.A. Tsvetanov, P.S. Jones, W.R. Bevan-Jones, R. Arnold, R.J. Borchert, E. Mak, L. Su, J.T. O’Brien, J.B. Rowe (2019) Neuroinflammation and functional connectivity in Alzheimer’s disease: interactive influences on cognitive performance, Journal of Neuroscience, 39 (36) 7218-7226
  13. Hou X, Zeng J, Chen H, Su L (2019) The endowment effect in the genes: An exploratory study, Judgment and Decision Making 14(3): 293–298
  14. Low A, Mak E, Malpetti M, Chouliaras L, Nicastro N, Su L, Holland N, Rittman T, Vazquez Rodriguez P, Passamonti L, Bevan-Jones W, Jones PPS, Rowe J, O'Brien J (2019) Asymmetrical atrophy of thalamic subnuclei in Alzheimer’s disease and amyloid-positive mild cognitive impairment is associated with key clinical features, Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring, 11: 690–699.
  15. Zeng J, Wang Y, Zeng J, Cao Z, Chen H, Liu Y, Zhang Q, Su L (2019) Predicting the behavioural tendency of loss aversion, Scientific Reports. 9(1):5024
  16. Xuanyu Li, Xiaoni Wang, Li Su, Xiaochen Hu, Ying Han (2019) Sino Longitudinal Study on Cognitive Decline (SILCODE): protocol for a Chinese longitudinal observational study to develop risk prediction models of conversion to mild cognitive impairment in individuals with subjective cognitive decline, BMJ Open, 9(7):e028188
  17. Zhao W, Luo Y, Zhao L, Mok V, Su L, Yin C, Sun Y, Lu J, Shi L, Han Y. (2019) Automated brain MRI volumetry differentiates early stages of Alzheimer’s disease from normal aging. Journal of Geriatric Psychiatry and Neurology. 32(6):354-364
  18. Su L, Huang Y, Wang Y, Rowe J, O’Brien J (2018) Predict Disease Progression with Reaction Rate Equation Modeling of Multimodal MRI and PET, Frontiers in Aging Neuroscience. 10: 306. doi: 10.3389/fnagi.2018.00306 
  19. Mavritsaki E, Bowman H, Su L (2018) Attentional deficits in Alzheimer’s disease: investigating the role of acetylcholine with computational modelling. Chapter in Multiple scale models of brain, Springer.    
  20. Qin H, Zeng J, Chen H, Deng L and Su L (2018) Can Your DNA Influence Your Bet-Placing? The Impact of Cannabinoid Receptor 1 Gene on Gambling Tasks. Front. Hum. Neurosci. 12:458. doi: 10.3389/fnhum.2018.00458
  21. Surendranathan A, Su L, Mak E, Passamonti L, Hong YT, Arnold R, Vázquez Rodríguez P, Bevan-Jones WR, Brain SAE, Fryer TD, Aigbirhio FI, Rowe JB, O’Brien JT (2018), Early Microglial Activation and Peripheral Inflammation in Dementia with Lewy Bodies. Brain, 141(12): 3415-3427.
  22. Leming M, Su L, Chattopadhyay S, Suckling J (2018), Normative pathways in the functional connectome, NeuroImage. 184:317-334
  23. Mak E, Bethlehem RAI, Romero-Garcia, R, Cervenka S, Rittman, T, Gabel S, Surendranathan A, Bevan-Jones WR, Passamonti L, Vázquez Rodríguez P, Su L, Arnold R, Guy B Williams, Hong YT, Fryer TD, Aigbirhio F, Rowe JB, O’Brien JT (2018) In vivo coupling of tau pathology and cortical thinning in Alzheimer's disease, Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring. 10: 678-687.
  24. Ritchie K, Carrière I, Howett D, Su L, Hornberger M, O’Brien JT, Ritchie CW, Chan D (2018) Allocentric and egocentric spatial processing in middle-aged adults at high risk of late-onset Alzheimer’s disease: the PREVENT Dementia study, Journal of Alzheimer’s Disease. 65(3): 885-896.
  25. Minett T, Su L, Mak E, Williams G, Firbank M, Lawson RA, Yarnall AJ, Duncan GW, Owen AM, Khoo TK, Brooks DJ, Rowe JB, Barker RA, Burn D, O’Brien JT (2018) Longitudinal diffusion tensor imaging changes in early Parkinson’s disease: ICICLE-PD study, Journal of Neurology. 265(7): 1528-1539.
  26. Passamonti, L., Vázquez Rodríguez, P.M., Hong, Y.T., Allinson, K.S.J., Bevan-Jones, W.R., Williamson, D., Jones, P.S., Arnold, R., Borchert, R.J., Surendranathan, A., Mak, E., Su, L., Fryer, T.D., Aigbirhio, F.I., O’Brien, J.T., Rowe, J.B. (2018) [11C]PK11195 binding in Alzheimer’s disease and progressive supranuclear palsy. Neurology. 90(22): 1989-1996.
  27. Li, Z., Zhang, C.Y., Huang, J., Wang, Y., Yan, C., Li, K., Zeng, Y.W., Jin, Z., Cheung, E.F.C., Su, L.*, Chan R.C.K.* (2017) Improving motivation through real-time fMRI based self-regulation of the nucleus accumbens. Neuropsychology. 32 (6), 764-776.
  28. Su, L*, Hayes, L.*, Soteriadesa, S., Williams, G., Brain, SAE., Firbank, M.J., Longoni, G., Arnold, RJ., Rowe, J.B., O'Brien, J.T. (2017) Hippocampal Stratum Radiatum, Lacunosum and Moleculare Sparing in Mild Cognitive Impairment, Journal of Alzheimer’s Disease, 61(1): 415-424
  29. Wingfield*, C., Su*, L., Liu, X., Zhang, C., Woodland, P., Thwaites, A., Fonteneau, E., Marslen-Wilson, W.D., (2017) Relating Dynamic Brain States to Dynamic Machine States: Human and Machine Solutions to the Speech Recognition Problem, PloS Computational Biology.
  30. Stefaniak*, J.D., Su*, L., Mak, E., Bahaei, N.S., Wells, K., Ritchie, K., Waldman, A., Ritchie, C.W., O’Brien, J.T. (2017) Cerebral small vessel disease in middle age and genetic predisposition to late-onset Alzheimer’s Disease, Alzheimer’s & Dementia: the journal of the Alzheimer's Association. 14(2): 253-258. doi: 10.1016/j.jalz.2017.08.017.
  31. Mirette, H., Mak, E., Gabel, S., Su, L., Williams, G.B., Waldman, A., Wells, K., Ritchie, K., Ritchie, C.W., O’Brien, J.T. (2017) Functional neuroimaging findings in healthy middle-aged adults at risk of Alzheimer’s disease, Ageing Research Reviews, DOI: 10.1016/j.arr.2017.03.004.
  32. Ritchie, K., Carriere, K, Su, L., O’Brien, J., Lovestone, S., Wells, K. and Richie, C.W. (2017) The midlife cognitive profiles of adults at high risk of late-onset Alzheimer’s disease: The PREVENT study, Alzheimer’s & Dementia: the journal of the Alzheimer's Association, 13(10): 1089-1097 DOI: 10.1016/j.jalz.2017.02.008
  33. Mak, E., Su, L., Williams G.B., Firbank M.J., Lawson R.A., Yarnall A.J., Duncan G.W., Mollenhauer, B., Owen A.M., Khoo T.K., Brooks D.J., Rowe J.B., Barker R., Burn D.J., and O'Brien J.T. (2017) Longitudinal whole brain atrophy and ventricular enlargement in non-demented Parkinson's disease, Neurobiology of Aging, DOI: 10.1016/j.neurobiolaging.2017.03.012
  34. Passamonti, L., Vázquez Rodríguez, P., Hong, Y.T., Allinson, K.S.J., Williamson, D., Borchert, R.J., Sami, S., Bevan-Jones, W.R., Jones, S.P., Arnold, R., Surendranathan, A., Mak, E., Su, L., Fryer, T.D., Aigbirhio, F., O’Brien, J. T., Rowe, J.B., (2016) [18F]AV-1451 Positron Emission Tomography in Alzheimer’s Disease and Progressive Supranuclear Palsy, Brain, 140(3):781-791 DOI: 10.1093/brain/aww340
  35. Bevan-Jones W.R., Surendranathan, A., Passamonti, L., Vázquez Rodríguez, P., Arnold, R., Mak, E., Su, L., Coles, J.P., Fryer, T.D., Hong, Y.T., Williams, G., Aigbirhio, F., Rowe, J.B., O’Brien, J.T. (2016) Neuroimaging of Inflammation in Memory and Related Other Disorders (NIMROD) study protocol: a deep phenotyping cohort study of the role of brain inflammation in dementia, depression and other neurological illnesses, BMJ Open, DOI: 10.17863/CAM.6890.
  36. Mak, E., Gabel, S., Su, L., Williams, G.B., Arnold, R., Passamonti, L., Vázquez Rodríguez, P., Surendranathan, A., Bevan-Jones, W.R., Rowe, J.B., O’Brien, J. T., (2016) Multi-modal MRI investigation of volumetric and microstructural changes in the hippocampus and its subfields in mild cognitive impairment, Alzheimer’s disease, and dementia with Lewy bodies, International Psychogeriatrics. DOI: 10.1017/S1041610216002143
  37. Mak, E., Gabel, S., Mirette, H., Su, L., Williams, G.B., Waldman, A., Wells, K., Ritchie, K., Ritchie, K., O’Brien, J.T. (2016) Structural neuroimaging in preclinical dementia: from microstructural deficits and grey matter atrophy to macroscale connectomic changes, Ageing Research Reviews, 35:1-15.
  38. Su, L., Faluyi, Y., Hong, Y.T., Fryer, T.D., Mak, E., Gabel, S., Hayes, L., Soteriades, S., Williams, G.B., Arnold, R., Passamonti, L., Vázquez Rodríguez, P., Surendranathan, A., Bevan-Jones, R.W., Coles, J., Aigbirhio, F., Rowe, J.B. and O’Brien, J.T. (2016) Neuroinflammatory and Morphological Changes in Late Life Depression: The NIMROD Study, The British Journal of Psychiatry, 209 (6) 525-526; DOI: 10.1192/bjp.bp.116.190165
  39. Su, L., Blamire, A.M., Watson, R., He, J., Lawrence, H. and O’Brien, J.T. (2016) Whole-brain Patterns of 1H-Magnetic Resonance Spectroscopy Imaging in Alzheimer's Disease and Dementia with Lewy Bodies, Translational Psychiatry, 6, e877; doi:10.1038/tp.2016.140
  40. Yan, C., Su, L., Wang, Y., Xu, T., Yin, D., Fan, M., Deng, C., Hu, Y., Wang, Z., Cheung, E.F.C., Lim, K.O., Chan, R.C.K. (2016) Multivariate Neural Representations of Value during Reward Anticipation and Consummation in the Human Orbitofrontal Cortex, Scientific Reports, DOI: 10.1038/srep29079
  41. Yan, C., Wang, Y., Su, L., Xu, T., Yin, D.Z., Fan, M.X., Deng, C.P., Wang, Z.X. Lui, S.S.Y., Cheung, E.F.C., Chan, R.C.K. (2016) Differential mesolimbic and prefrontal alterations during reward anticipation and consummation in positive and negative schizotypy. Psychiatry Research: Neuroimaging,  254:127-136, DOI:
  42. Su, L., Blamire, A.M., Watson, R., He, J., Aribisala, B. and O’Brien, J.T. (2016) Cortical and subcortical changes in Alzheimer’s disease: a longitudinal and quantitative MRI study, Current Alzheimer Research, 13(5): 534-544
  43. Suckling, J., Simas, T., Chattopadhyay, S., Tait, R., Su, L., Williams, G., Rowe J. and O'Brien J. (2015) A winding road: Alzheimer’s disease increases circuitous functional connectivity pathways, Frontiers in Computational Neuroscience, 9:140. doi: 10.3389/fncom.2015.00140
  44. Mak, E., Su, L., Williams G.B., Watson R., Firbank M.J. and O'Brien J.T. (2015) Differential atrophy of hippocampal subfields: a comparative study of dementia with Lewy bodies and Alzheimer’s disease, American Journal of Geriatric Psychiatry, doi: 10.1016/j.jagp.2015.06.006
  45. Zhang J, Su L (2015). Temporal Autocorrelation-Based Beamforming with MEG Neuroimaging Data, Journal of the American Statistical Association, 110(512):1375-1388. doi: 10.1080/01621459.2015.1054488
  46. Mak, E., Su, L., Williams G.B., Firbank M.J., Lawson R.A., Yarnall A.J., Duncan G.W., Owen A.M., Khoo T.K., Brooks D.J., Rowe J.B., Barker R., Burn D.J., and O'Brien J.T. (2015) Baseline and longitudinal grey matter changes in newly diagnosed Parkinson’s disease: ICICLE-PD study, Brain, 138(10):2974-86. doi: 10.1093/brain/awv211
  47. Mak E, Su L, Williams GB, O’Brien J.T. (2015). Neuroimaging correlates of cognitive impairment and dementia in Parkinson's disease, Parkinsonism & Related Disorders, 21(8):862-70. doi: 10.1016/j.parkreldis.2015.05.013
  48. Su, L., Wyble, B., Zhou, L., Wang, K., Wang, Y., Cheung, E.F.C, Bowman, H. and Chan, R.C.K (2015) Temporal Perception Deficits in Schizophrenia: Integration is the problem, not Deployment of Attention, Scientific Reports, 5, 9745; doi: 10.1038/srep09745
  49. Mak, E., Su, L., Williams G.B., Watson R., Firbank M.J., Blamire, A.M. and O'Brien J.T. (2015) Longitudinal assessment of global and regional atrophy rates in Alzheimer’s disease from dementia with Lewy bodies, Neuroimage: Clinical, 7: 456-462
  50. Mak, E., Su, L., Williams G.B., Watson R., Firbank M.J., Blamire, A.M. and O'Brien J.T. (2015) Progressive cortical thinning and subcortical atrophy in dementia with Lewy bodies and Alzheimer’s disease, Neurobiology of Aging, 36: 1743-1750
  51. Su, L., Blamire, A.M., Watson, R., He, J., Aribisala, B. and O’Brien, J.T. (2014) Tissue microstructural changes in dementia with Lewy bodies revealed by quantitative MRI, Journal of Neurology, 262:165-172
  52. Mak, E., Su, L., Williams G.B. and O'Brien J.T. (2014) Neuroimaging Characteristics of Dementia with Lewy Bodies, Alzheimer's Research & Therapy, 6:18, doi: 10.1186/alzrt248
  53. Bozic, M., Fonteneau, E., Su, L., Marslen-Wilson, W. (2014) Grammatical analysis as a distributed neurobiological function, Human Brain Mapping, doi: 10.1002/hbm.22696
  54. Su, L., Zulfiqar, I., Jamshed, F., Fonteneau, E. and Marslen-Wilson, W. (2014) Mapping tonotopic organization in human temporal cortex: representational similarity analysis in EMEG source space, Frontiers in Neuroscience, 8:368. doi:10.3389/fnins.2014.00368
  55. Su, L., Gomez, R. and Bowman, H. (2014) Analysing neurobiological models using Communicating Automata. Formal Aspects of Computing, 26: 1169-1204
  56. Nili, H., Wingfield, C., Walther, A., Su, L., Marslen-Wilson, W. and Kriegeskorte, N. (2014) A MATLAB Toolbox for Representational Similarity Analysis, PLoS Computational Biology, 10(4): e1003553. doi:10.1371/journal.pcbi.1003553
  57. Bowman, H., Filetti, M., Alsufyani, A., Janssen, D. and Su, L. (2014) Countering countermeasures: detecting identity lies by detecting conscious breakthrough, PLoS One, 9(3): e90595. doi:10.1371/journal.pone.0090595
  58. Lawrence*, E.J., Su*, L., Giampietro, V., Barker, G.J., Medford, N., Dalton, J, Williams, S.C.R., Birbaumer, N., Veit, R., Sitaram, R., Bodurka, J., Brammer, M. and David, A.S. (2014) Self-regulation of the Anterior Insula: Reinforcement Learning using Real-time fMRI Neurofeedback, NeuroImage, 88: 113-124
  59. Bowman, H. and Su, L. (2014) Cognition, Concurrency Theory and Reverberations in the Brain: in Search of a Calculus of Communicating (Recurrent) Neural Systems. HOWARD-60. A Festschrift on the Occasion of Howard Barringer's 60th Birthday: 66-84
  60. Wang, Y., Yang, T.X., Su, L., Yan, C., Wang, Y., Huang, J., Fan, M.X., Yin, D.Z., Jin, Z., Zeng, Y.W., Shum, D.H.K. and Chan, R.C.K. (2013) Neural correlates of prospective memory in individuals with schizotypal personality features, Neuropsychology, 28(3):373-81. doi: 10.1037/neu0000035
  61. Bozic, M., Tyler, L.K., Su, L., Wingfield, C. and Marslen-Wilson, W.D. (2013) Neurobiological systems for lexical representation and analysis in English, Journal of Cognitive Neuroscience, 25(10): 1678-1691
  62. Bowman, H., Filetti, M., Janssen, D., Su, L., Alsufyani, A. and Wyble, B. (2013) Subliminal Salient Search Illustrated: Deception Detected on the Fringe of Awareness, PLoS One 8(1): e54258, doi:10.1371/ journal.pone.0054258
  63. Su, L., Fonteneau, E., Marslen-Wilson, W. and Kriegeskorte, N. (2012) Spatiotemporal Searchlight Representational Similarity Analysis in EMEG Source Space, IEEE Xplore, 97-100, doi:10.1109/PRNI.2012.26
  64. Su, L., Bowman, H. and Barnard, P.J. (2011) Glancing and then looking: on the role of body, affect and meaning in cognitive control. Frontiers in Psychology, 2:348, doi: 10.3389/fpsyg.2011.00348
  65. Bowman, H., Su, L., Wyble, B. and Barnard, P.J. (2011). Salience sensitive control, temporal attention and stimulus-rich reactive interfaces. Human Attention in Digital Environments, 114-144, Cambridge University Press
  66. Su, L., Barnard, P.J. and Bowman, H. (2010) On the fringe of awareness, attention and emotion, Lecture Notes in Computer Science, 6354: 504-509
  67. Su, L., Bowman, H., Barnard, P.J. and Wyble, B. (2009). Process Algebraic Modelling of Attentional Capture and Human Electrophysiology in Reactive Systems. Formal Aspects of Computing, 21: 513-539
  68. Su, L., H. Bowman, and P.J. Barnard (2008). Performance of reactive interfaces in stimulus rich environments, applying formal methods and cognitive frameworks, Electronic Notes in Theoretical Computer Science, 208: 95-111
  69. Su, L., H. Bowman, and P.J. Barnard (2007). Attentional capture by meaning: A multi-level modelling study. In Proceedings of the 29th Annual Cognitive Science Society, 1521-1526, Austin, TX: Cognitive Science Society
  70. Su, L., H. Bowman, and B. Wyble (2005). Symbolic encoding of neural networks using communicating automata with applications to verification of neural network based controllers. In Proceedings of the IJCAI-05 Workshop on Neural-Symbolic Learning and Reasoning
  71. Bowman, H., Gomez, R. and Su, L. (2005). A tool for the syntactic detection of zeno-timelocks in timed automata, Electronic Notes in Theoretical Computer Science, 139(1): 25-47.



Professor Su was awarded a PhD in Computational Neuroscience from University of Kent in 2009. After several years of postdoctoral research in Institute of Psychiatry at King’s College London, MRC Cognition and Brain Sciences Unit and University of Cambridge, he was awarded a highly competitive Senior Research Fellowship from Alzheimer’s Research UK in 2017.

He leads the Artificial Intelligence & Computational Neuroscience Group (, which aims to combine innovative and original computational methods with the state-of-the-art brain imaging techniques such as MEG/EEG, 7T MRI and PET in understanding, detecting and developing treatments for neurological and psychiatric conditions.

In 2020, he was appointed Professor of Neuroimaging at the University of Sheffield. He also holds a part-time PI position in Department of Psychiatry at University of Cambridge. He leads the Alzheimer’s Research UK East Network Centre and is an elected Fellow in Clare Hall, University of Cambridge. His research has been recognised through international awards including an International College of Geriatric Psychoneuropharmacology Junior Investigator Award in 2015.

Contact Details

Department of Neuroscience
Sheffield Institute for Translational Neuroscience
Room B36
University of Sheffield
385a Glossop Road
S10 2HQ

T: +44 (0) 114 21 59108