Members
Kshitij Kumar
Working in:
- Animal models
- Computational and dynamical brain models
- Bioelectronics and sensor systems
- Non-invasive brain stimulation
- Invasive brain or spinal stimulation
- Invasive recording systems
- Data science and biomarkers
I am engaged in the study of the intricate relationship between affective disorders and their associated comorbidities, particularly chronic pain. To delve into this complex interplay, I employ a multi-faceted approach. For human subjects, I utilize behavioral tasks and non-invasive imaging methods to unravel the neural and behavioral foundations of these conditions. When working with animal models, I employ in-house developed, customizable polyimide-based flexible electrodes. These specialized tools enable me to gain deeper insights into the neural underpinnings of these disorders.
Timothy Jordan
Working in:
- Non-invasive brain stimulation
- Data science and biomarkers
- Other
I’m currently a postdoc at UCLA researching the effects of TMS on smoking cessation and investigating how TMS alters the brain to achieve behavioral changes using resting state fMRI. I plan to apply this knowledge to research migraines and opioid substance use disorders.
Dr Rebecca Ward
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
- Invasive recording systems
- Virtual reality
- Data science and biomarkers
Network manager for the N-CODE network+ which aims to develop technologies that enable diagnosis and management of neurological conditions in the community.
Amit Pujari
Working in:
- Prosthetics and robotics
- Digital Health
- Non-invasive brain stimulation
- Peripheral stimulation
- Neurofeedback
- Data science and biomarkers
Neurotechnology development for sensorimotor improvement in neurological population
Franka Rossel
Working in:
- Biomechanics
- Data science and biomarkers
- Other
Researching for my Master Thesis in the clinical field, I am interested to learn more about endogenous pain modulation and pain neuroscience and technologies in general. I want to explore brain mechanisms of motivation and learning in context of pain stimuli. For the decision which pain stimuli I want to use for my study and how to oberserve the reaction, I am eager to learn more about brain monitoring and core technologies. Furthermore, I am doing an internship in the field of Biomarkers and data science, working with EEG.
Rahul Shah
Working in:
- Invasive brain or spinal stimulation
- Invasive recording systems
- Data science and biomarkers
NIHR Clinical Lecturer in Neurosurgery developing human pain electrophysiology research programme exploiting externalised DBS and SCS recordings.
Pempho Carol Katanga
Working in:
- Prosthetics and robotics
- Pumps and infusion devices
- Digital Health
- Non-invasive brain stimulation
- Peripheral stimulation
- Neurofeedback
- Virtual reality
- Data science and biomarkers
- Other
I am a Registered Nurse and Midwife interested in chronic disease management, especially non-communicable diseases. I am also interested in acute care, trauma, clinical care processes and outcomes, public health, nursing in general, healthcare education, symptom management, patient involvement, patient support, healthcare technologies, and quality improvement in healthcare.
Tuankasfee Hama
Working in:
- Digital Health
- Data science and biomarkers
My research mainly focuses on healthcare data and machine learning. I use Deep learning to create a model for outcome prediction.
Michel-Pierre Coll
Working in:
- Computational and dynamical brain models
- Data science and biomarkers
My research program leverages human neuroimaging and recent advances in computational modelling and artificial intelligence to understand pain perception and modulation. This overarching goal is pursued via two complementary streams. A first theory-driven research stream aims to identify coherent computational and neural architectures capable of explaining and predicting pain perception and pain avoidance. A second data-driven research stream aims to create and interpret sensitive, specific, and generalizable brain-based biomarkers of pain perception capable of predicting pain intensity across individuals and pain modalities.