Hi, I’m Himanshu Chaudhary, a PhD researcher in Physics at Babeș-Bolyai University, Cluj-Napoca, Romania, with a passion for understanding the Universe through observational and theoretical cosmology. My research focuses on the nature of dark energy and its role in cosmic evolution. I constrain cosmological models using state-of-the-art observations, including the Cosmic Microwave Background, Baryon Acoustic Oscillations from the Dark Energy Spectroscopic Instrument, Type Ia Supernovae, Cosmic Chronometers, weak lensing observations from the Dark Energy Survey Year 1, Year 3 and Year 6, DES Y1 × Planck, the Legacy Survey of Space and Time Year 1, and the Nancy Grace Roman Space Telescope (Fourier- and real-space analyses), as well as strong gravitational lensing from the H0LiCOW collaboration, applying Bayesian inference, MCMC, and nested sampling techniques. My current work explores the cosmological implications of the latest DESI results and the impact of progenitor age bias in Type Ia supernova cosmology, investigating whether these effects point toward physics beyond the standard ΛCDM model.

Beyond cosmology, I work on black hole astrophysics, including photon ray tracing, black hole shadows, quasinormal modes, and gravitational-wave signatures of compact objects. My interests also include General Relativity, tensor calculus, high-performance scientific computing, and cosmological parameter inference using tools such as Cobaya, CosmoMC, MontePython, CosmoSIS, CAMB, CLASS, GetDist, CoCoA, and Kosmulator.

I’m always interested in collaborating on projects related to cosmology, dark energy, and computational astrophysics.

Learn more about my research on ResearchGate. For collaborations, projects, or academic opportunities, please contact me via email.

Education

  • Doctor of Philosophy (PhD) in Physics (2024 – Present)
    Babeș-Bolyai University, Cluj-Napoca, Romania

  • Master of Science (M.Sc.) in Mathematics (2021 – 2023)
    Delhi Technological University, India

  • Bachelor of Education (B.Ed.) (2019 – 2021)
    Guru Ram Dass College of Education, India

  • Bachelor of Science (B.Sc.) (2016 – 2019)
    Shyam Lal College, University of Delhi, India

General Skills

  • Microsoft Office (Word, Excel, PowerPoint)
  • Operating Systems: Windows, macOS, Linux
  • Typesetting: LaTeX

Programming

  • Python (scientific computing, data analysis, MCMC pipelines)
  • C, C++, Fortran
  • Mathematica

Cosmological and Astrophysical Tools

  • Cobaya (Bayesian inference, MCMC, nested sampling)
  • CoCoA (Cobaya–CosmoLike Joint Architecture)
  • SimpleMC (cosmological parameter estimation)
  • CosmoSIS (modular cosmological pipelines)
  • CosmoMC (Markov Chain Monte Carlo cosmological parameter estimation)
  • MontePython (Bayesian cosmological parameter inference and MCMC analysis)
  • Kosmulator (vectorized framework for cosmological parameter inference)
  • CAMB / CLASS (Boltzmann solvers for cosmology)
  • GetDist (post-processing and visualization)
  • Pytearcat (tensor algebra computations)
  • GADGET (cosmological N-body simulations)
  • L-PICOLA (large-scale structure simulations)