SANDIP SAHA

About

I am Sandip Saha, currently, I am working as a Career Development Fellow at the National Centre for Biological Sciences (NCBS-TIFR), Bangalore, India. Previously, I held various postdoctoral positions at ISI Kolkata in India, TU Darmstadt in Germany, and KAUST in Saudi Arabia. My current work focuses on optimizing Physics-Informed Machine Learning models for complex developmental processes, supported by mathematical modeling. Specifically, I integrate fundamental physical principles, such as Lagrangian, Hamiltonian, and Variational principle frameworks, into machine learning models to enhance their predictive power for identifying developmental trajectories through mathematical modeling and single-cell RNA-seq data. I obtained my Ph.D. from the S. N. Bose National Centre for Basic Sciences, with the degree conferred by the University of Calcutta in 2021. My doctoral research spanned a broad spectrum of mathematical modeling and nonlinear dynamics.

Employment

• Rajiv Gandhi National Avation University Teaching Faculty (On Contract)
  2026 - 2026
• Ceremorphic Technologies Pvt. Ltd. Scientist
  2026 - 2026
• National Centre for Biological Sciences Simons–NCBS Career Development Fellow & TIFR Postdoctoral Fellow
  2024 - 2025
• Indian Statistical Institute Visiting Scientist
  2024 - 2024
• Technical University Darmstadt Research Assistant
  2024 - 2024
• King Abdullah University of Science and Technology Postdoctoral Fellow
  2021 - 2023
• S.N. Bose National Centre for Basic Sciences Visiting Researcher
  2020 - 2020

Education

• S N Bose National Centre for Basic Sciences PhD
  2015 - 2020
• Visva-Bharati M.Sc.
  2012 - 2014
• Suri Vidyasagar College B.Sc.
  2008 - 2012

Projects & Funding

Projects & funding information is unavailable.

Publications (13)

• Exploring Multi-Rhythmicity in the light of Hilbert's 16th Problem : A Li\'enard--Levenson-Smith Perspective and the Potency of Perturbative Methods
  2026 DOI: 10.21203/rs.3.rs-9388290/v1
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• Complex dynamics and route to quasiperiodic synchronization in non-isochronous directed Stuart–Landau triads
  Chaos, Solitons & Fractals 2026 DOI: 10.1016/j.chaos.2025.117800
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• Epigenetic feedback reshapes dynamical landscapes in gene regulatory networks
  Arxiv 2026 DOI: 10.48550/arXiv.2512.24427
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• Controlling complex rhythms: A hierarchical approach to limit cycle switching
  Chaos: An Interdisciplinary Journal of Nonlinear Science 2025 DOI: 10.1063/5.0296708
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• Power law behavior of center-like decaying oscillation: Exponent through Perturbation Theory and Optimization
  Communications in Nonlinear Science and Numerical Simulation 2025 DOI: 10.1016/j.cnsns.2025.108844
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• The existence of a stable limit cycle in the Liénard–Levinson–Smith (LLS) equation beyond the LLS theorem
  Communications in Nonlinear Science and Numerical Simulation 2022 DOI: 10.1016/j.cnsns.2022.106311
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• Universality in bio-rhythms: A perspective from nonlinear dynamics
  Journal of Biosciences 2022 DOI: 10.1007/s12038-021-00249-0
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• Suppressing birhythmicity by parametrically modulating nonlinearity in limit cycle oscillators
  Physica D: Nonlinear Phenomena 2021 DOI: 10.1016/j.physd.2020.132793
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• Parametric Excitation and Hopf Bifurcation Analysis of a Time Delayed Nonlinear Feedback Oscillator
  International Journal of Applied and Computational Mathematics 2020 DOI: 10.1007/s40819-020-00925-z
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• Systematic designing of bi-rhythmic and tri-rhythmic models in families of Van der Pol and Rayleigh oscillators
  Communications in Nonlinear Science and Numerical Simulation 2020 DOI: 10.1016/j.cnsns.2020.105234
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