Teams

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Team 1
Team 2
  • Light

    Sameer V. Dalvi

    Angus McBlane

    Philosophy and Cognition

    Nishaant Choksi

    Philosophy and Cognition
  • Medium

    Sameer V. Dalvi

    Angus McBlane

    Philosophy and Cognition

    Nishaant Choksi

    Philosophy and Cognition
  • Dark

    Sameer V. Dalvi

    Angus McBlane

    Philosophy and Cognition

    Nishaant Choksi

    Philosophy and Cognition
Team 3
  • Light

    Assistant  Professor

    Research Interests

    • Multisensory perception, attention & working memory
    • Large scale brain organization
    • Neuroscience & AI
    • Meditation & Consciousness

    Email: vaibhav.tripathi@iitgn.ac.in

    Lab Website: INT Lab

    Education:

    • BE: Delhi College of Engineering, 2012
    • MTech: IIIT Delhi, 2018
    • MA: Boston University, 2020
    • PhD: Boston University, 2023

    Office: 5/317
    VOIP: 2635

    Work Experience:

    • Assistant Professor, Indian Institute of Technology, Gandhinagar, (Mar 2025 to Present)
    • Postdoctoral Fellow, Centre for Brain Science & Department of Psychology, Harvard University, (Sep 2023 – Feb 2025)
    • Research Trainee, Brigham & Women’s Hospital, Harvard Medical School, (Dec 2021 to May 2023)
    • Research Assistant, Centre for Neuroscience, Indian Institute of Science, (Jan 2015 to Dec 2015)
    • Co-Founder, AhoLabs, (Jul 2013 to Dec 2014)
    • Software Engineer & Data Scientist, Paytm (Jun 2012 to Jun 2013)

    Research Publications:

    1. Vaibhav Tripathi, Joshua Fox-Fuller, Vincent Malotaux, Ana Baena, Nikole Bonillas Felix, Sergio Alvarez, David Aguillon, Francisco Lopera, David C Somers, Yakeel T. Quiroz (2025). Connectome-based predictive modeling of brain pathology and cognition in Autosomal Dominant Alzheimer’s Disease. Alzheimer’s & Dementia.
    2. Vaibhav Tripathi, Ishaan Batta, Andre Zamani, Daniel Atad, Sneha Sheth, Jiahe Zhang, Tor Wager, Susan Whitfield-Gabrieli, Lucina Q. Uddin, Ruchika Prakash, Clemens Bauer (2025). Default mode network functional connectivity as a transdiagnostic biomarker of cognitive function. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging.
    3. Vaibhav Tripathi, Laura Rigolo, Bethany K. Bracken, Alexandra J. Golby, Yanmei Tie, David C. Somers (2024). Utilizing resting-state functional connectivity-based motor prediction models for presurgical planning. Human Brain Mapping, 45 (10), e26764.
    4. Suruchi FialokeVaibhav Tripathi, Sonika Thakral, Anju Dhawan, Vidur Mahajan, Rahul Garg (2024). Functional connectivity changes in meditators and novices during yoga nidra practice. Scientific Reports, 14 (1), 12957. co-first author
    5. Vaibhav Tripathi, David C Somers (2023). Predicting an Individual’s Cerebellar Activity from Functional Connectivity Fingerprints. NeuroImage,Volume 281.
    6. Vaibhav Tripathi, Rahul Garg (2022). Weak Task Synchronization of Default Mode Network in task based paradigms. NeuroImage, Volume 251, 118940.
    7. Vaibhav Tripathi, Pallavi Bharadwaj (2021). Neuroscience of yogic theory of consciousness. Neuroscience of Consciousness, Volume 2021, Issue 2.
  • Medium

    Assistant  Professor

    Research Interests

    • Multisensory perception, attention & working memory
    • Large scale brain organization
    • Neuroscience & AI
    • Meditation & Consciousness

    Email: vaibhav.tripathi@iitgn.ac.in

    Lab Website: INT Lab

    Education:

    • BE: Delhi College of Engineering, 2012
    • MTech: IIIT Delhi, 2018
    • MA: Boston University, 2020
    • PhD: Boston University, 2023

    Office: 5/317
    VOIP: 2635

    Work Experience:

    • Assistant Professor, Indian Institute of Technology, Gandhinagar, (Mar 2025 to Present)
    • Postdoctoral Fellow, Centre for Brain Science & Department of Psychology, Harvard University, (Sep 2023 – Feb 2025)
    • Research Trainee, Brigham & Women’s Hospital, Harvard Medical School, (Dec 2021 to May 2023)
    • Research Assistant, Centre for Neuroscience, Indian Institute of Science, (Jan 2015 to Dec 2015)
    • Co-Founder, AhoLabs, (Jul 2013 to Dec 2014)
    • Software Engineer & Data Scientist, Paytm (Jun 2012 to Jun 2013)

    Research Publications:

    1. Vaibhav Tripathi, Joshua Fox-Fuller, Vincent Malotaux, Ana Baena, Nikole Bonillas Felix, Sergio Alvarez, David Aguillon, Francisco Lopera, David C Somers, Yakeel T. Quiroz (2025). Connectome-based predictive modeling of brain pathology and cognition in Autosomal Dominant Alzheimer’s Disease. Alzheimer’s & Dementia.
    2. Vaibhav Tripathi, Ishaan Batta, Andre Zamani, Daniel Atad, Sneha Sheth, Jiahe Zhang, Tor Wager, Susan Whitfield-Gabrieli, Lucina Q. Uddin, Ruchika Prakash, Clemens Bauer (2025). Default mode network functional connectivity as a transdiagnostic biomarker of cognitive function. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging.
    3. Vaibhav Tripathi, Laura Rigolo, Bethany K. Bracken, Alexandra J. Golby, Yanmei Tie, David C. Somers (2024). Utilizing resting-state functional connectivity-based motor prediction models for presurgical planning. Human Brain Mapping, 45 (10), e26764.
    4. Suruchi FialokeVaibhav Tripathi, Sonika Thakral, Anju Dhawan, Vidur Mahajan, Rahul Garg (2024). Functional connectivity changes in meditators and novices during yoga nidra practice. Scientific Reports, 14 (1), 12957. co-first author
    5. Vaibhav Tripathi, David C Somers (2023). Predicting an Individual’s Cerebellar Activity from Functional Connectivity Fingerprints. NeuroImage,Volume 281.
    6. Vaibhav Tripathi, Rahul Garg (2022). Weak Task Synchronization of Default Mode Network in task based paradigms. NeuroImage, Volume 251, 118940.
    7. Vaibhav Tripathi, Pallavi Bharadwaj (2021). Neuroscience of yogic theory of consciousness. Neuroscience of Consciousness, Volume 2021, Issue 2.
  • Dark

    Assistant  Professor

    Research Interests

    • Multisensory perception, attention & working memory
    • Large scale brain organization
    • Neuroscience & AI
    • Meditation & Consciousness

    Email: vaibhav.tripathi@iitgn.ac.in

    Lab Website: INT Lab

    Education:

    • BE: Delhi College of Engineering, 2012
    • MTech: IIIT Delhi, 2018
    • MA: Boston University, 2020
    • PhD: Boston University, 2023

    Office: 5/317
    VOIP: 2635

    Work Experience:

    • Assistant Professor, Indian Institute of Technology, Gandhinagar, (Mar 2025 to Present)
    • Postdoctoral Fellow, Centre for Brain Science & Department of Psychology, Harvard University, (Sep 2023 – Feb 2025)
    • Research Trainee, Brigham & Women’s Hospital, Harvard Medical School, (Dec 2021 to May 2023)
    • Research Assistant, Centre for Neuroscience, Indian Institute of Science, (Jan 2015 to Dec 2015)
    • Co-Founder, AhoLabs, (Jul 2013 to Dec 2014)
    • Software Engineer & Data Scientist, Paytm (Jun 2012 to Jun 2013)

    Research Publications:

    1. Vaibhav Tripathi, Joshua Fox-Fuller, Vincent Malotaux, Ana Baena, Nikole Bonillas Felix, Sergio Alvarez, David Aguillon, Francisco Lopera, David C Somers, Yakeel T. Quiroz (2025). Connectome-based predictive modeling of brain pathology and cognition in Autosomal Dominant Alzheimer’s Disease. Alzheimer’s & Dementia.
    2. Vaibhav Tripathi, Ishaan Batta, Andre Zamani, Daniel Atad, Sneha Sheth, Jiahe Zhang, Tor Wager, Susan Whitfield-Gabrieli, Lucina Q. Uddin, Ruchika Prakash, Clemens Bauer (2025). Default mode network functional connectivity as a transdiagnostic biomarker of cognitive function. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging.
    3. Vaibhav Tripathi, Laura Rigolo, Bethany K. Bracken, Alexandra J. Golby, Yanmei Tie, David C. Somers (2024). Utilizing resting-state functional connectivity-based motor prediction models for presurgical planning. Human Brain Mapping, 45 (10), e26764.
    4. Suruchi FialokeVaibhav Tripathi, Sonika Thakral, Anju Dhawan, Vidur Mahajan, Rahul Garg (2024). Functional connectivity changes in meditators and novices during yoga nidra practice. Scientific Reports, 14 (1), 12957. co-first author
    5. Vaibhav Tripathi, David C Somers (2023). Predicting an Individual’s Cerebellar Activity from Functional Connectivity Fingerprints. NeuroImage,Volume 281.
    6. Vaibhav Tripathi, Rahul Garg (2022). Weak Task Synchronization of Default Mode Network in task based paradigms. NeuroImage, Volume 251, 118940.
    7. Vaibhav Tripathi, Pallavi Bharadwaj (2021). Neuroscience of yogic theory of consciousness. Neuroscience of Consciousness, Volume 2021, Issue 2.