Dimitris Fotis Sakellariou

phd neural engineering

I am a neuroengineer and AI scientist with a background in physics and digital signal processing. I am interested in the decoding and modulation of brain function using machine learning paradigms.I am the developer of Neurocraft, the Microscale Neuroengineering Platform.


I am a Neuroengineer and Machine Learning Scientist with several years of experience in designing, implementing and troubleshooting machine learning algorithms. My core strengths are knowledge of deep learning literature, from standard algorithms to recent advances, and my ability to conceptualise custom machine learning methodology for attacking real world problems.
Employment History
IQVIA, London, AI Scientist 2
- Tech lead of in-house deep learning prediction service
- Data science expertise for offerings and client-facing meetings
- Training and mentoring of junior team members; upskilling workshops
- Collaboration with Big Data Engineering and Automation teams
Faculty AI, London, Data Science Fellow
- Deep tabular architecture models for rare disease detection
- Fast-track development of real-world POC model
- Dissemination of progress and results to industry stakeholders
King’s College London, Postdoc Researcher
- Developed software suite and UI for network modelling of brain activity https://github.com/Neurocraft/neurocraft
- Software development for several neuroengineering tooling projects
- Development and maintenance for in house tooling
- Overlooked and conducted more than 30 whole night EEG recordings
Grants and Awards
NVIDIA GPU Grant Award £5,499 (PI):
‘Enhancing the value of Electroencephalography (EEG); automated modelling of epileptic brain networks for diagnosis and outcome prediction’
MRC confidence in cencept grant award £58,139 (PI):
‘Is epilepsy a progressive disease? Seeking markers of disease-stage and treatment responsiveness’
King’s College London
PhD Computational Neuroscience
Specialisation: Neuroengineering, applied machine learning
University of Patras
MEng Computer Science & Electrical Engineering
Computational Neuroscience and Artificial Intelligence
University of Patras
BSc Physics & Electrical Engineering


- Sakellariou DF and Richardson MP (2020) Neurocraft: Software for complex microscale brain network dynamics. Nature Sci Rep 11, 20716 (2021). https://doi.org/10.1038/s41598-021-99195-y
- Dimitris F. Sakellariou, Sofia Dall’Orso, Etienne Burdet, Jean-Pierre Lin, Mark P. Richardson & Verity M. McClelland, Abnormal microscale neuronal connectivity triggered by a proprioceptive stimulus in dystonia (Nature Scientific Reports) doi:0.1038/s41598-020-77533-w
- Sakellariou DF, Nesbitt SD, Higgins S, Beniczky S, Rosenzweig J, Drakatos P, Gildeh N, Murphy PB, Kent B, Williams AJ, Kryger M, Goadsby PJ, Leschziner GD, Rosenzweig I (2020). Co-activation of rhythms during alpha band oscillations as an interictal biomarker of exploding head syndrome. (Cephalalgia) doi:10.1177/0333102420902705
2018- Sakellariou DF, Koutroumanidis M, Richardson MP, Kostopoulos GK: Cross-subject network investigation of the EEG microstructure: a sleep spindles study. J Neurosci Meth (2018). doi:10.1016/j.jneumeth.2018.11.0012017- Sakellariou DF, Richardson M, Kostopoulos GK and Koutroumanidis M (2017). Topography of Generalized Periodic Epileptiform Discharges in Post-anoxic Non-Convulsive Status Epilepticus. Epilepsia Open. doi: 10.1002/epi4.120732016
- Koutroumanidis M, Sakellariou DF, Tsirka V (2016). Oxford Textbook of Clinical Neurophysiology Chapter 11, 10th edition. doi: 10.1093/med/9780199688395.003.0011
- Sakellariou DF, Koupparis AM, Kokkinos V, Koutroumanidis M and Kostopoulos GK (2016). Connectivity measures in EEG microstructural sleep elements. Front. Neuroinform. 10:5. doi: 10.3389/fninf.2016.000052015
- Koutroumanidis M and Sakellariou DF (2015). Low frequency non-evolving generalised periodic epileptiform discharges and the borderline of hypoxic nonconvulsive status epilepticus in comatose patients after cardiac arrest. Epilepsy and Behavior. doi: 10.1016/j.yebeh.2015.04.060
- Koutroumanidis M, Sakellariou DF, Tsirka V (2014). "Paradoxical" EEG response to propofol may differentiate post-cardiac arrest non-convulsive status epilepticus from diffuse irreversible cerebral anoxia. Epileptic Disorders 16(4):510-7. doi: 10.1684/epd.2014.0711

Research Projects


Machine Learning & Artificial Intelligence Solutions Global Unit, Real World Solutions

IQVIA, London UKdimitrios.sakellariou@outlook.com

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