Himanshu Chaudhary is a PhD researcher at Babeș-Bolyai University, Cluj-Napoca, Romania. His research focuses on understanding the nature of dark energy and its role in the evolution of the Universe. He works on constraining different dark energy models using a combination of observational datasets, including the Cosmic Microwave Background (CMB), Type Ia Supernovae, Baryon Acoustic Oscillations (BAO), and gravitational lensing probes (weak and strong lensing). His current research is primarily dedicated to investigating the implications of recent DESI results and the impact of strong progenitor age bias in supernova cosmology. In particular, he aims to understand how these effects influence cosmological parameter estimation and whether they indicate deviations from the standard ΛCDM model.

In astrophysics, he works on ray-tracing of photons around compact objects, including black holes, and studies black hole shadows, equatorial periodic orbits and their gravitational wave signatures, as well as quasinormal modes.

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)
  • SimpleMC (cosmological parameter estimation)
  • CosmoSIS (modular cosmological pipelines)
  • 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)