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 ZhangSep 2022–present
- Postdoctoral ResearcherBoston Children's Hospital and Harvard Medical School, BostonJul 2021–Sep 2022
- Scientist, EBRAINS, Human Brain ProjectKTH Royal Institute of Technology, StockholmOct 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 motifs2020
- ME, Computational and Systems BiologyJawaharlal Nehru University, New Delhi2012
- BE, BiotechnologyPanjab University, Chandigarh2010
Research software
- CeDNeGraph-based framework for multimodal connectome modeling, simulation and optimization2025
- NeuroRD-SBMLBiophysical model translation and standardization2022
- LHSMDULatin Hypercube Sampling with Multi-Dimensional Uniformity, parameter sampling library2020
Talks, conferences and workshops
- Kempner Institute 2026 ConferenceHarvard University, CambridgeSep 2026
- Neuroscience 2025, Society for NeuroscienceSan DiegoNov 2025
- Analysis and Modeling of ConnectomesJanelia Research CampusJun 2025
- CeNeuro 2024Madison, WisconsinJun 2024
- Neuronal CircuitsCold Spring Harbor LaboratoryMar 2024
- Harvard Museum of Comparative Zoology seminar seriesCambridgeMay 2023
- NeuroMatch ConferenceonlineMar 2020
- No Garlands NeuroscienceIISER PuneJan 2020
- Transylvanian Experimental Neuroscience Summer SchoolRomaniaJun 2019
- Molecules and MemoryNCBS, BengaluruMar 2019
- Quantitative Approaches to Behaviour and Neural SystemsLisbonOct 2018
- Spikes lecture series, Centre for NeuroscienceIISc BengaluruJan 2018
- Neuroscience 2017, Society for NeuroscienceWashington, DCNov 2017
- No Garlands NeuroscienceIISER PuneOct 2017
- BSSE SymposiumIISc BengaluruJan 2017
- Molecular Mechanisms at the SynapseJanelia Research CampusMay 2016
Teaching and mentoring
- Introduction to Computational Neuroscience I and IIScienspur, free online life-science courses for undergraduates worldwideInstructorWinter 2023
- Computational Approaches to Memory and Plasticity (CAMP)National Centre for Biological Sciences, BangaloreTeaching assistant and organizer, five summer schoolsSummers 2014–2018
- Boston Bangalore Biosciences Beginnings (B4) Neuroscience SchoolHarvard University and NCBSTeaching assistant and organizationWinter 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 institute2023–2025
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 India2011
- Master's FellowshipJawaharlal Nehru University2010–2012
Travel awards
- IBRO-PERC, The Brain Prize and FENS stipendMay 2019
- Wellcome Trust Travel AwardSep 2018
- Infosys Travel Award, Infosys FoundationDec 2017
- Department of Biotechnology Travel Award, Government of IndiaNov 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.