About me
Working at the intersection of artificial intelligence, neuroscience, and clinical neuroimaging, I focus on transforming complex brain data into meaningful research and clinical insights. My background in Artificial Intelligence and Robotics, combined with hands-on experience in neuroscience laboratories and hospitals, has shaped my work around MRI/fMRI analysis, brain mapping, functional connectivity, and computational neuroscience.
As the Co-founder and CEO of Neuromorfix, I work on developing brain data analysis workflows for clinical and research applications, including seizure mapping, Parkinson’s disease studies, Alzheimer’s disease assessment, and pre-/post-operative neuroimaging analysis.
Alongside my research and entrepreneurial work, I have been involved in teaching and mentoring in machine learning, data analytics, cognitive neuroscience, deep learning, and Python programming. My broader interests in chess and mountaineering reflect the same mindset I bring to research: strategy, patience, discipline, and problem-solving.
Core Expertise
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AI & Machine Learning
Applying machine learning, deep learning, and data-driven methods to neuroscience, biomedical data, and real-world research problems.
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Neuroimaging Analysis
Processing and analyzing MRI, fMRI, and DTI datasets for brain mapping, functional connectivity, and clinical neuroscience studies.
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Computational Neuroscience
Using computational models, behavioral data, and brain signals to investigate cognition, neurological disorders, and brain function.
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Neurotechnology & Startup
Co-founder and CEO of Neuromorfix, focused on translating neuroscience research into practical brain data analysis solutions.
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Neurotechnology & Startup
Co-founder and CEO of Neuromorfix, focused on translating neuroscience research into practical brain data analysis solutions.
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Research Software Development
Building data pipelines, dashboards, RESTful APIs, and analysis workflows for scientific and clinical research environments.
Research Highlights