Hey, I am currently working on understanding brain dynamics through neuroimaging, computational models and machine learning.

I recently graduated from University of California, San Francisco (UCSF), with my Master’s in Biomedical Imaging in the Department of Radiology and Biomedical Imaging, where I worked on computational modeling of brain network alterations in Alzheimer’s disease at the Brain Networks Laboratory, working with Prof. Ashish Raj and Prof. Srikantan Nagarajan.

Before joining UCSF, I worked as a postbaccalaureate researcher at RBCDSAI/IBSE, IIT Madras, in collaboration with the Paris Brain Institute. My research focused on understanding the neural mechanisms underlying brain–computer interface (BCI) control using computational model to inform personalized BCI training. There I worked with Parul Verma at IBSE, IIT Madras, and Marie-Constance Corsi at Inria–Paris Brain Institute.

Earlier, I earned my Bachelor’s Degree in Biotechnology with Mathematics and Computer Science from NIT Durgapur - India, in 2024. As an undergraduate researcher, I worked on mathematical/machine-learning modeling of drug delivery systems with Prof. Dalia Dasgupta Mandal. Check out my CV here

Peer-Reviewed Publications

Debnath, A., Venot, T., Corsi, M.-C. & Verma, P. (2025).
Neural mechanisms of training in Brain-Computer Interface: A Biophysical modeling approach.
Preprint

Debnath, A. (2026).
Spectral Graph modeling of abnormal neural synchronizations in Alzheimer’s disease.
M.S. Thesis, University of California, San Francisco.
Thesis

Education

M.S. in Biomedical Imaging, University of California, San Francisco, 2026

B.Tech. in Biotechnology, National Institute of Technology Durgapur, 2024

Research Interests

Computational Neuroscience
Brain network modeling · Neural mass models · Neural dynamics

Neuroimaging
MEG · EEG · MRI (fMRI, d-MRI) · Spectral analysis · Brain connectivity

Brain–Computer Interfaces
BCI modeling · Motor imagery · Neural mechanisms of learning

Machine Learning
Medical imaging · Representation learning · Biomedical AI

Selected Research

Alzheimer’s Disease & Brain Network Modeling

My current research focuses on using spectral graph modeling and neural mass models to characterize abnormal neural dynamics associated with Alzheimer’s disease using neuroimaging data.

Brain–Computer Interfaces

I developed computational models of neural dynamics to investigate how the brain changes during BCI training, with the goal of understanding mechanisms that may support personalized BCI training.

Medical Imaging & Machine Learning

My broader interests include applying machine learning to biomedical imaging (neuroimaging), including image denoising, segmentation, and quantitative analysis.