Curriculum vitae

Research, training & professional experience.

More than six years of interdisciplinary research in neuroimaging and three years of industry experience in predictive analytics and software development.

Research appointments

  1. Postdoctoral Research Associate

    Multimodal Functional Brain Imaging · St. Jude Children's Research Hospital · Advisor: Dr. Ranganatha Sitaram

  2. Postdoctoral Research Fellow

    Neural Processing and Control Lab · University of Rhode Island · Advisor: Dr. Yalda Shahriari

  3. Doctoral Researcher

    Brain & Informatics Lab · IIT Gandhinagar · Advisor: Dr. Krishna Prasad Miyapuram

Education

  1. PhD, Computer Science

    Indian Institute of Technology Gandhinagar · Prime Minister's Research Fellow

    Thesis: Decoding Cognitive States from Brain Rhythms: Insights from Media Perception and Meditation Studies

  2. MTech, Computer Science

    International Institute of Information Technology Bangalore

  3. BTech, Information Technology

    Punjab Technical University

Selected recognition

Honors & awards

  • Prime Minister's Research Fellowship, 2020–2023
  • Society for Neuroscience Travel Grant, 2025
  • IEEE Brain Discovery and Neurotechnology Workshop Travel Grant, 2024
  • Registration grants: Brain Informatics 2021 and IJCNN 2020

Industry

Data & software experience

  • Data Engineer, American Express, 2016–2018
  • Software Engineer, Reckitt Benckiser / Diverse Infotech, 2012–2013
  • Experience in predictive analytics, anomaly detection, ETL, big data, and visualization

Technical expertise

Methods & tools

  • Python
  • MATLAB
  • PyTorch
  • TensorFlow
  • MNE
  • FSL
  • SPM
  • EEGLAB
  • BCI2000
  • Docker

Open science

Datasets & software

  • Open EEG datasets for drumbeats, movie-evoked emotions, and naturalistic music listening
  • CompNeuroTools: resources for brain data, signal processing, and machine learning
  • Resonance-Toolbox and ScienceOfMeditation research resources

Teaching & service

A broader academic record

Teaching & Mentoring

Formal instruction and extensive project mentorship spanning machine learning, computational neuroscience, EEG, fMRI, and neuromodulation.

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Service & Leadership

Peer review, outreach leadership, proposal development, scientific volunteering, and conference presentations.

Explore academic service →