Gautam Bhuyan

Bio

I’m a Ph.D. candidate in Astronomy & Astrophysics at Cotton University (Guwahati, India), working on precision cosmology using variable stars, extragalactic distance indicators, and large-scale structure. I build reproducible, data-driven pipelines to extract signal from noisy time-series and catalog data, with applications ranging from cosmic distance scales to galaxy–gravitational-wave correlations.

I am a first-author researcher with peer-reviewed work including “Geometry of the LMC based on multiphase analysis of multiwavelength Cepheid light curves using OGLE-IV and Gaia DR3 data” (MNRAS, 2024; DOI: 10.1093/mnras/stad3772, arXiv: 2312.02657).

• Data science/ML strengths: Python-based analysis (NumPy/Pandas/SciPy), feature extraction from time-series, statistical modeling, and visualization.
• Statistical methods: Monte Carlo simulation, Bayesian inference (MCMC/emcee), hypothesis testing and model diagnostics.
• Scale & data sources: Large astronomical datasets (OGLE, Gaia, Carnegie Supernova Project) and catalog cross-matching (CDS/VizieR).
• Research tooling: Correlation-function workflows (TreeCorr, cKDTree) and simulation tools (e.g., lognormal_galaxies, GWFish).
• Collaboration: IUCAA Indo–French Astronomy School and HRI summer research; mentoring and supervising M.Sc. thesis projects.

Education

• Ph.D. in Astronomy & Astrophysics, Cotton University (2021 - Present)
• M.Sc. in Physics, Cotton University (2017 - 2019)
• B.Sc. in Physics, Cotton University (2014 - 2017)

Research Experience

• Ph.D. Thesis: Probing dark energy using cosmic tracers
• 2022 Indo-French Astronomy School: Escape fraction of Lyman continuum leakers at z ∼ 1 (IUCAA, Pune)
• M.Sc. Thesis: Astrometric analysis of open clusters
• Summer Research Project: Quantum speed limit from stronger uncertainty relations (HRI)

Publications

• Geometry of the LMC based on multiphase analysis of multiwavelength Cepheid light curves using OGLE-IV and Gaia DR3 data
• Monthly Notices of the Royal Astronomical Society (2024). DOI: 10.1093/mnras/stad3772, arXiv: 2312.02657 [astro-ph.GA]

Skills

• Programming Languages: Python (Pandas, NumPy, Scipy, Matplotlib), IDL, Bash, Fortran
• Tools: lognormal_galaxies, pCIGALE (SED fitting), SNooPy/SALT2 (Supernova lightcurve fitter)
• Databases: OGLE, Gaia, Carnegie Supernova Project-I, CDS-Vizier/X-match
• Statistical Methods: Monte Carlo sampling, Bayesian Inference (emcee Python), F-test
• Documentation: LATEX (Overleaf), Microsoft/Libre Office, Google Workspace

Contact

Email: gautam.bhuyan2825@gmail.com

References

• Dr. Sukanta Deb - Ph.D. Advisor, Cotton University, sukanta.deb@cottonuniversity.ac.in
• Prof. Shashi M. Kanbur - Collaborator, SUNY Oswego, shashi.kanbur@oswego.edu