I am a recent graduate with a Master’s in Neuroscience from the University of Barcelona (2024-2025). My research applies computational models and machine learning techniques to extract meaningful patterns from large-scale neuroimaging datasets. Through my graduate work, I have gained experience working with ADNI and Human Connectome Project data, focusing on whole-brain modeling approaches for understanding neurodegenerative diseases and brain connectivity patterns.

Research Interests

My research focuses on developing computational models and machine learning approaches for neurodegenerative disease analysis, where I apply biophysically realistic models and advanced algorithms to understand disease progression and identify early-stage biomarkers from neuroimaging data. I am also interested in computational models and machine learning methods for behavioral analysis, where I leverage large-scale brain datasets to uncover the neural mechanisms underlying cognitive and emotional processing, with applications to both healthy and pathological brain states.

Academic Background

Master’s in Neuroscience | University of Barcelona, Spain (2024-2025)

Graduate coursework included Neuroimage Analysis, Computational Neuroscience, Advanced Neuroimaging Techniques, and Neurobiology of the Senses. My thesis focused on whole-brain modeling and dynamical analysis in Alzheimer’s disease under Prof. Gustavo Deco and Dr. Jakub Vohryzek at Universitat Pompeu Fabra. Applied Hopf bifurcation models and gradient algorithms to derive Generative Effective Connectivity from ADNI data, identifying novel network biomarkers for early disease detection.

Explore project → Master Thesis

Bachelor’s in Chemistry (Honors) | University of Calcutta, India (2020-2024)

Undergraduate foundation in chemistry provided quantitative and analytical skills essential for computational neuroscience research. This background has been valuable in understanding molecular-level processes and applying rigorous analytical approaches to biological systems.

Explore project → Bachelor Thesis

Technical Expertise

Programming

• — fMRI preprocessing, and analysis pipelines
• — Whole-Brain modelling, Signal processing, SPM workflows
• — Tooling and data parsing
• — high‑performance numerics

Neuroimaging

• — GLM, preprocessing, and QC
• — FEAT, registration, and tractography
• — Preliminary fiber tracking and 3D visualization

Tools

Data

Experience with large-scale datasets including the Human Connectome Project (HCP) and ADNI; emphasis on robust preprocessing, QC, and reproducible pipelines.

Note: I am actively seeking PhD opportunities in computational neuroscience to further develop my research in computational models and machine learning applications for neuroimaging data analysis. I am particularly interested in programs that combine theoretical modeling with clinical applications and offer opportunities for interdisciplinary collaboration.