Members
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.
Pranav Mahajan
Working in:
- Computational and dynamical brain models
- Prosthetics and robotics
- Biomechanics
- Digital Health
- Virtual reality
- Data science and biomarkers
I work at the intersection of pain neuroscience and safe learning, with a focus on basic science experiments and theories, in hopes that atleast some of which could lead to interventions that alleviate chronic pain.
Sana Poormohammadreza
Working in:
- Computational and dynamical brain models
- Bioelectronics and sensor systems
- Prosthetics and robotics
- Biomechanics
- Pumps and infusion devices
- Non-invasive brain stimulation
- Invasive brain or spinal stimulation
- Peripheral stimulation
- Neurofeedback
- Invasive recording systems
- Virtual reality
- Data science and biomarkers
I’m a second year medical student interested in research in AI in Medicine. I would like to join the network group to meet researchers in this area and have opportunities to be involved in the research.
Callum O’Malley
Working in:
- Computational and dynamical brain models
- Non-invasive brain stimulation
- Peripheral stimulation
- Neurofeedback
- Virtual reality
- Data science and biomarkers
- Other
Individually my research covers the perception of effort and how it is affected by the pain experience on a psychophysiological level.
Linked to that, I then explore the behavioural and cognitive changes in self-regulation due to pain.
As a group, we explore the use of virtual reality and eye-tracking with their ability to enhance performance across sport, military, aviation, and clinical settings.
As a new member of my team, the aim is to bridge the pain research and eye-tracking/virtual reality research already underway.
David J McGonigle
Working in:
- Computational and dynamical brain models
- Non-invasive brain stimulation
- Peripheral stimulation
- Other
My background is in the use of non-invasive brain stimulation, neuroimaging and somatosensory psychophysics to explore sensory processing in health and disease. I am a more recent convert to using these techniques to explore how best to modulate chronic and neuropathic pain.
Harith Akram MD PhD FRCS (Neuro.Surg)
Working in:
- Computational and dynamical brain models
- Digital Health
- Invasive brain or spinal stimulation
- Invasive recording systems
- Data science and biomarkers
My research interests are in functional neurosurgery for pain, mental disorders and mental disorders. My PhD was in advanced computational neuroimaging and connectomic neurosurgery. I have ongoing work to develop translational methods in MRI brain connectivity, in addition to his involvement in various clinical trials to improve the safety and efficacy of existing therapies, and explore new and emerging applications.
Swati Rajwal
Working in:
- Computational and dynamical brain models
- Digital Health
- Non-invasive brain stimulation
- Data science and biomarkers
Dr. Suyi Zhang
Working in:
- Computational and dynamical brain models
- Bioelectronics and sensor systems
- Digital Health
- Virtual reality
- Data science and biomarkers
Developing non-invasive brain-computer interfaces with optical modalities, creating real time decoding and signal processing BCI software, building AI models to decode human intention and speech
Dr. Scott Lempka
Working in:
- Computational and dynamical brain models
- Non-invasive brain stimulation
- Other
Electrical stimulation therapies represent nonpharmacologic treatment options for chronic pain management. However, we do not understand how these therapies work and this knowledge gap continues to limit the success of these technologies. Therefore, our research group implements a patient-specific approach that integrates detailed clinical mechanistic testing with computational models. We believe that this systematic approach will improve our scientific understanding of neurostimulation for chronic pain and provide scientific guidance to individualize and optimize several components of these neurostimulation technologies.