Dr. Rishabh Pathak is a computational neuroscientist, rehabilitation researcher, and physiotherapy professional specializing in computational neuroscience, Brain–Computer Interface (BCI) technologies, neural signal processing, and AI-driven neurorehabilitation. With an interdisciplinary background combining clinical physiotherapy, neuroscience, computational modelling, and emerging neurotechnologies, he is committed to translating scientific discoveries into innovative rehabilitation solutions.

He currently serves as Head of Research & Development at Move To Walk, where he leads research strategy, experimental design, multidisciplinary collaboration, and scientific project execution. Previously, he worked as a Computational Neuroscientist and Co-Principal Investigator at the School of Computational and Integrative Sciences, Jawaharlal Nehru University (JNU), and as a Research Physiotherapist and Clinical Research Coordinator at the Institute of Brain and Spine. He has also served as an Assistant Professor at the Institute of Applied Medicines and Research.

Research Expertise & Scientific Contributions

Dr. Pathak's research focuses on computational neuroscience, neural dynamics, BCI architecture, neural signal decoding, neurorobotics, and technology-enabled neurorehabilitation. His technical expertise includes EEG, MEG, and fMRI data acquisition, electrophysiological signal processing, Machine Learning & Deep Learning Pipelines, neural feature extraction, and computational modelling of brain activity.

His research vision encompasses cortical circuit dynamics, spiking neural networks, synaptic plasticity, spike-timing-dependent plasticity, neural connectivity, and sensorimotor adaptation. He is also exploring quantum-inspired computational approaches and emerging artificial intelligence methods for potential applications in neural information processing and next-generation BCI systems.

Research Projects & Clinical Applications

Dr. Pathak has contributed to interdisciplinary projects connecting neuroscience, engineering, and clinical rehabilitation. His selected research projects include EEG-based monitoring of brain-wave activity through computational pain modelling, spinal cord neuromodulation for neurogenic bladder dysfunction, robotic gait training for neurological disorders, and the clinical evaluation of the SpinoFit ergonomic feedback device for mechanical low-back pain.

His involvement in the SCONE Continence clinical study strengthened his experience in clinical research coordination, patient-data management, protocol adherence, and outcome assessment. Through these projects, he has developed an applied understanding of neurotechnology-assisted rehabilitation, sensor-based assessment, and clinically relevant research methodologies.

Research Leadership & Innovation

As Head of Research & Development at Move To Walk, Dr. Pathak oversees research planning, project portfolios, experimental workflows, multidisciplinary teams, and the translation of scientific findings into potential rehabilitation technologies. His responsibilities include coordinating data acquisition and analysis, supporting ethical and regulatory compliance, and promoting reproducible research practices.

His previous experience as a Co-Principal Investigator at JNU and Clinical Research Coordinator at the Institute of Brain and Spine demonstrates his ability to contribute across the research lifecycle, from experimental planning and participant coordination to computational analysis and scientific dissemination.

Specialized Training & Professional Development

Dr. Pathak has undertaken specialized training in BCI technologies and neurotechnology, including the 140-hour BCI & Neurotechnology Spring School conducted by g.tec Medical Engineering, Austria, in 2024. He is also a Certified RecoveriX BCI Trainer, having completed specialized training in EEG-driven neurofeedback and BCI-mediated motor rehabilitation in 2023.

His participation in the BR41N.IO BCI Designer’s Hackathon further reflects his engagement with innovative system design, neural signal decoding, and neurotechnology prototyping. Additional professional development in sports science, anti-doping, and neurophysiological applications supports his interdisciplinary research approach.

Scientific Recognition & Academic Engagement

Dr. Pathak has contributed to scientific education and professional knowledge exchange through invited lectures and guest speaking engagements. He delivered a specialized lecture on “Neurocomputation of Brain–Computer Interface in Neurorehabilitation and Applications in Outer Space” at the Department of Geriatric Medicine, National Centre for Ageing, AIIMS New Delhi, and has presented related topics at Galgotias University and the Institute of Applied Medicine & Research.

In 2025, he served as a Scientific Jury Member at the 11th International Conference of Physical Therapy at AIIMS, evaluating research presentations under the theme of scientific innovation in physiotherapy. These activities demonstrate his engagement with emerging scientific developments and interdisciplinary academic communities.

Science Communication & Knowledge Dissemination

Dr. Pathak is the author and sole writer of the science blog Mastishk Vigyan Anusandhan (“Brain Science Research”). Through this platform, he communicates and critically examines developments in computational neuroscience, NeuroAI, quantum physics, and neurorehabilitation.

His writing addresses emerging research methods, neural population decoding, computational modelling, and the clinical applications of robotics. By translating scientific literature into accessible discussions for students, clinicians, and researchers, he contributes to scientific awareness and the dissemination of research-based knowledge.

Research Vision & Future Contributions

Dr. Pathak aims to develop mathematically grounded, AI-enabled, and physics-informed approaches to understanding neural dynamics and improving rehabilitation outcomes. His ongoing interests include closed-loop BCI systems, adaptive neurorehabilitation, neural plasticity mapping, neurorobotics, and potential applications of neurotechnology in space-related research.

He is also authoring a book on neurocomputation, BCI systems, and quantum neurotechnology, reflecting his commitment to synthesizing interdisciplinary knowledge and contributing to the future development of computational neuroscience.

Eligibility for Outstanding Scientist Award 

Dr. Rishabh Pathak is a promising candidate for the Outstanding Scientist Award in Scientific Laurels, based on his interdisciplinary research expertise, leadership in research and development, specialized neurotechnology training, and commitment to advancing computational neuroscience and clinical rehabilitation.

His profile is distinguished by his leadership as Head of Research & Development, prior research experience at Jawaharlal Nehru University, participation in an international clinical study, and technical proficiency in neural data acquisition, machine-learning-based neural decoding, and BCI-mediated rehabilitation. His research initiatives addressing pain modelling, spinal neuromodulation, robotic gait training, and AI-enabled neurorehabilitation demonstrate a strong orientation toward translational scientific applications.

His specialized training through g.tec Medical Engineering, invited scientific lectures, participation as a scientific jury member at AIIMS, and science communication activities further strengthen his professional profile. His interdisciplinary research vision brings together neuroscience, physiotherapy, computational mathematics, artificial intelligence, and emerging neurotechnology.

Overall, Dr. Rishabh Pathak merits consideration for the Scientific Laurels Outstanding Scientist Award in recognition of his research leadership, innovative scientific direction, interdisciplinary expertise, and commitment to translating computational neuroscience into practical neurorehabilitation technologies. His candidacy is particularly relevant to recognition of emerging scientific leadership and innovation in neuroscience, BCI systems, and AI-assisted rehabilitation.