
Research Assistant
Achyuthanand Kunnath
Computational Neuroscience
About me
Computational biologist with an M.Tech from IIIT Delhi (CGPA 9.04), published researcher, and former Teaching Assistant. I offer mentorship in statistics, Python, machine learning, and biological sciences, alongside guidance on academic writing, literature reviews, and research structuring drawn from real research and publication experience.
Interests: My research interests lie at the intersection of computational neuroscience, behavioral science, and data-driven health research. I am particularly interested in how cognitive and affective states shape human perception and decision-making, and how computational and statistical methods can be used to model these processes at both the individual and population level. I am drawn to questions around how biological signals — neural, physiological, and behavioral — can be translated into mechanistic insights about the mind and brain. Broader interests include the application of machine learning and multi-omics approaches to clinical and translational research, human-AI interaction in healthcare settings, and the use of psychometric methods to bridge quantitative data and human experience.
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