Curriculum vitae

A condensed CV. The PDF has everything, including full author lists and dates.

Research program

  • Brain-wide mechanisms of learning and behavioral flexibility in C. elegans.
  • Computational frameworks linking connectome structure to neural dynamics and behavior.
  • Research software for multimodal neural data integration, simulation and optimization.

Positions

  • Postdoctoral FellowDepartment of Organismic and Evolutionary Biology, Harvard University, CambridgeMentor Yun Zhang
    Sep 2022–present
  • Postdoctoral ResearcherBoston Children's Hospital and Harvard Medical School, Boston
    Jul 2021–Sep 2022
  • Scientist, EBRAINS, Human Brain ProjectKTH Royal Institute of Technology, Stockholm
    Oct 2020–Jul 2021

Education

  • PhD, Neuroscience and Systems BiologyNational Centre for Biological Sciences, TIFR, BangaloreAdvisor Upinder S. Bhalla · Thesis, Robust memory and precise balance, computation with biological network motifs
    2020
  • ME, Computational and Systems BiologyJawaharlal Nehru University, New Delhi
    2012
  • BE, BiotechnologyPanjab University, Chandigarh
    2010

Research software

  • CeDNeGraph-based framework for multimodal connectome modeling, simulation and optimization
    2025
  • NeuroRD-SBMLBiophysical model translation and standardization
    2022
  • LHSMDULatin Hypercube Sampling with Multi-Dimensional Uniformity, parameter sampling library
    2020

Talks, conferences and workshops

  • Kempner Institute 2026 ConferenceHarvard University, Cambridge
    Sep 2026
  • Neuroscience 2025, Society for NeuroscienceSan Diego
    Nov 2025
  • Analysis and Modeling of ConnectomesJanelia Research Campus
    Jun 2025
  • CeNeuro 2024Madison, Wisconsin
    Jun 2024
  • Neuronal CircuitsCold Spring Harbor Laboratory
    Mar 2024
  • Harvard Museum of Comparative Zoology seminar seriesCambridge
    May 2023
  • NeuroMatch Conferenceonline
    Mar 2020
  • No Garlands NeuroscienceIISER Pune
    Jan 2020
  • Transylvanian Experimental Neuroscience Summer SchoolRomania
    Jun 2019
  • Molecules and MemoryNCBS, Bengaluru
    Mar 2019
  • Quantitative Approaches to Behaviour and Neural SystemsLisbon
    Oct 2018
  • Spikes lecture series, Centre for NeuroscienceIISc Bengaluru
    Jan 2018
  • Neuroscience 2017, Society for NeuroscienceWashington, DC
    Nov 2017
  • No Garlands NeuroscienceIISER Pune
    Oct 2017
  • BSSE SymposiumIISc Bengaluru
    Jan 2017
  • Molecular Mechanisms at the SynapseJanelia Research Campus
    May 2016

Teaching and mentoring

  • Introduction to Computational Neuroscience I and IIScienspur, free online life-science courses for undergraduates worldwideInstructor
    Winter 2023
  • Computational Approaches to Memory and Plasticity (CAMP)National Centre for Biological Sciences, BangaloreTeaching assistant and organizer, five summer schools
    Summers 2014–2018
  • Boston Bangalore Biosciences Beginnings (B4) Neuroscience SchoolHarvard University and NCBSTeaching assistant and organization
    Winter 2016
  • Master's thesis student, Zhang LabWhole-brain imaging and behaviour; co-author on the whole-brain learning preprintNow a PhD student at a Max Planck institute
    2023–2025

Professional service

  • ReviewereNeuro (2023–), Journal of Computational Neuroscience (2025–), Journal of Biosciences (2022–)
  • Co-reviewerNeuron, Nature Neuroscience, eLife and Cell, with senior collaborators

Fellowships

  • Senior Research Fellowship, BiologyCouncil of Scientific and Industrial Research (CSIR)
    2014–2017
  • Junior Research Fellowship, Biology, All India Rank 36Council of Scientific and Industrial Research (CSIR)
    2012–2014
  • DBT Bioinformatics National Certification, All India Rank 33Department of Biotechnology, Government of India
    2011
  • Master's FellowshipJawaharlal Nehru University
    2010–2012

Travel awards

  • IBRO-PERC, The Brain Prize and FENS stipend
    May 2019
  • Wellcome Trust Travel Award
    Sep 2018
  • Infosys Travel Award, Infosys Foundation
    Dec 2017
  • Department of Biotechnology Travel Award, Government of India
    Nov 2017

Skills

Modeling

Large-scale simulation, dynamical systems, information theory, control-based system identification, chemical reaction network modeling, stochastic simulation (Langevin, Gillespie), optimization.

Analysis

High-dimensional volumetric (4D) neural data, neural population geometry and manifold analysis, neural time-series modeling, connectome topology, tensor decomposition (SVD, CP, Tucker), graph-based learning, unsupervised learning and clustering.

Tools

Python, PyTorch, JAX, scikit-learn, Optuna, NetworkX, NumPy, pandas, MOOSE, COPASI, Brian. UNIX, multiprocessing, SLURM and SGE clusters.

Experimental

C. elegans and Drosophila melanogaster: genetics, optogenetics, calcium imaging, behavior.