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The Alan Turing Institute

Abhimanyu Roy

Working in:

  • Animal models
  • Computational and dynamical brain models
  • Bioelectronics and sensor systems
  • Prosthetics and robotics
  • Biomechanics
  • Pumps and infusion devices
  • Digital Health
  • Non-invasive brain stimulation
  • Invasive brain or spinal stimulation
  • Peripheral stimulation
  • Neurofeedback
  • Invasive recording systems
  • Virtual reality
  • Data science and biomarkers
  • Optogenetic systems
  • Other

I am a Researcher. I have excellent skills in computer science, biomedical engineering, neuroscience, data science, cancer cell biology, and bioinformatics. Currently, I am working on the CASP15 project, In this project I am working on protein structure prediction with the help of a machine-learning algorithm and also I am working on a neuroscience project at FENS. Previously I have done many thesis and project work in terms of neuroscience with the help of natural language processing, and deep learning. I am also doing my research in cancer biology in an open lab at Cancer Research UK.
My Area of Interest:- Clinical Research in Medicine, Neuroscience, Cell Biology, Cancer Biology, Computer Science and related fields, etc.

Sungkyunkwan University
Overseas

Soo Ahn Lee

Working in:

  • Computational and dynamical brain models
  • Data science and biomarkers

Studying neural mechanisms of an antagonistic relationship between pain and pleasure using fMRI

University of Manchester

Mahdi Saleh

Working in:

  • Bioelectronics and sensor systems
  • Digital Health
  • Non-invasive brain stimulation
  • Data science and biomarkers

My research interests are in the domain of instrumentation and measurement with a special focus on developing embedded processing and communication systems for bioelectronic sensors for monitoring and analyzing biomarkers. My current work is focused on developing a wearable EEG monitoring device.

University of Exeter

Sonia Medina

Working in:

  • Computational and dynamical brain models
  • Non-invasive brain stimulation
  • Invasive brain or spinal stimulation
  • Peripheral stimulation
  • Virtual reality
  • Data science and biomarkers

I work at Sam Hughes Pain Lab in Exeter (ExPain). My research covers an array of mechanism-based approaches to study and treat pain, including functional neuroimaging, phycophysics, behavioural testing, and interviews. Most recently, my work focuses on the use of virtual reality to treat acute and chronic pain.

King’s College London

Mohua Kibria Mumu

Working in:

  • Animal models
  • Neurofeedback
  • Data science and biomarkers
  • Other

My research focuses on the elucidation of the role of TRPA1 in diabetic neuropathy

Nuffield Department of Clinical Neurosciences, University of Oxford

Mohamed Tachrount

Working in:

  • Animal models
  • Data science and biomarkers
  • Other

I’m MR physicist working on developing and optimising MRI techniques on human and animal systems. The aim of one of the projects I’m involved in is the scanning of patients with sciatica to define factors that predict the transition from acute to persistent pain

Great Ormond Street Hospital for Children NHS Foundation Trust | London

Bing Wang

Working in:

  • Computational and dynamical brain models
  • Bioelectronics and sensor systems
  • Prosthetics and robotics
  • Pumps and infusion devices
  • Digital Health
  • Virtual reality
  • Data science and biomarkers

N/A

Universtiy College London | London

Diego Vitali

Working in:

  • Bioelectronics and sensor systems
  • Biomechanics
  • Digital Health
  • Data science and biomarkers

I work with prof. Amanda Williams (UCL Health Psychology) and prof. Nadia Berthouze  at (UCL engineering)  to design experiments using Sensors in Ecological settings. With a focus on chronic pain our general aim is to use technology to support the study of pain in “the wild” by looking at behavioural patterns, psychological and emotional states, social participation, activity and movement.

Oxford University Hospitals

Sergiu Lucec

Working in:

  • Computational and dynamical brain models
  • Bioelectronics and sensor systems
  • Prosthetics and robotics
  • Biomechanics
  • Digital Health
  • Non-invasive brain stimulation
  • Invasive brain or spinal stimulation
  • Peripheral stimulation
  • Neurofeedback
  • Virtual reality
  • Data science and biomarkers

Electronic patient records, with an additional focus on Laboratory results and communication.