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Apurba Debnath

apurba.debnath@ucsf.edu

CV | 🔍 | Github | LinkedIn | 🧪

Hello there👋

Hi! hello, welcome to my page! I am Apurba, a Master's student at University of California, San Francisco (UCSF) , specializing in Biomedical Imaging technologies.


Before joining UCSF, as a summer researcher at the Paris Brain Institute, Inria NERV Lab, I worked on formulating interpretable deep learning tools for BCI applications, where I implemented spatial filtering methods to better classify the left and right motor imagery tasks. Prior to that, I did a year-long full-time research on Brain-Computer Interface (BCI) as a Post-Baccalaureate researcher at Indian Institute of Technology Madras, India. There, I worked to elucidate the underlying large-scale neural mechanisms of motor imagery in non-invasive BCI training. I graduated in May 2024 with a Bachelor's degree in Biotechnology from National Institute of Technology Durgapur, India. As an undergraduate researcher, I worked on Drug Delivery Systems under Prof. Dalia Dasgupta Mandal.


My primary research interest lies in uncovering the conundrum behind brain dynamics🧠 through computational approaches and advanced imaging modalities.

Research Experience

[MAY 2025 – AUGUST 2025]
Paris Brain Institute - ICM, Paris, France

Visiting Summer Researcher, Inria NERV Lab

Advised by: Marie-Constance Corsi

[JULY 2024 – JULY 2025]
Indian Institute of Technology Madras, Chennai, India

Post-Baccalaureate Researcher, Centre for Integrative Biology and Systems Medicine (IBSE), IIT Madras

Advised by: Parul Verma (IIT Madras) & Marie-Constance Corsi (Paris Brain Institute)

[AUGUST 2023 – MAY 2024]
National Institute of Technology Durgapur, India

Undergraduate Researcher, Department of Biotechnology

Advised by: Prof. Dalia Dasgupta Mandal

Publications

Biophysical modeling approach to elucidate the underlying neural mechanisms in Brain-Computer Interface training

Paper: Submitted, under review

Debnath, A., Venot, T., Corsi, M-C., Verma, P.

The paper introduces a biophysical model to elucidate the underlying neural mechanisms of motor-imagery in non-inavasive BCI training.

Education

University of California, San Francisco

M.S. in Biomedical Imaging | 2025-2026

National Institute of Technology Durgapur, India

Bachelor of Technology in Biotechnology | 2020-2024

Technical Skills & Expertise

Programming Languages

Python R Java C++ JavaScript SQL

Machine Learning

TensorFlow PyTorch Scikit-learn Keras XGBoost Hugging Face

Research Areas

Deep Learning NLP Computer Vision Federated Learning Explainable AI Neural Architecture Search

Tools & Platforms

AWS Google Cloud Docker Kubernetes Git Jupyter

Awards & Honors

  • IBSE Post-Baccalaureate Fellowship ($6000 in total) [2024-2025]
    "To pursue research in the filed of Computational Neuroscience to elucidate the underlying neural mechanisms of Brain-Computer Interface"
  • Paris Brain Institute Travel Award for OHBM 2025, Brisbane [2025]
    "To present my research work as poster presentaion at OHBM 2025 Annual Meeting in Brisbane, Australia"
  • IBSE Travel Award for Physics of Cells & Tissues 3.0 Symposium, IISc [2025]
    "To present my research work as poster presentaion at Indian Institute of Science (IISc) Bengaluru, India"
  • NEC State Merit Scholarship to pursue Bachelor’s degree ($1140 in total) [2020 - 2024]
    "Recognized for outstanding high school score in Science stream to pursure Bachelor's degree"
  • Top 0.9% nationally (out of 1.2 million) in all India engineering entrance exam JEE 2020 [2020]
  • Top 1.6% nationally (out of 1.5 million) in all India medical entrance exam NEET 2019 [2019]

Contact Information

📧

Email

apurba.debnath@ucsf.edu

or

apurba.debnath.mail@gmail.com

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