Here is the inspire page (https://inspirehep.net/authors/1117380?ui-citation-summary=true).
My research focuses on understanding the early universe through theoretical and observational cosmology. I have worked extensively on inflationary models, primordial perturbations, and the cosmic microwave background (CMB), contributing both innovative theoretical frameworks and practical data analysis tools. Here is a categorized overview of my most significant research areas and contributions:
I have developed and analyzed a wide variety of inflationary models, such as Whipped inflation, Wiggly Whipped Inflation, Primordial Standard clock models etc., to account for observed anomalies in the CMB and to explore potential formation mechanisms of primordial black holes (PBHs) and stochastic gravitational waves.
Inflation with Whip-Shaped Suppressed Scalar Power Spectra, Phys. Rev. Lett. 113, 071301 (2014) - Introduces an inflationary model with suppressed large-scale power to match CMB anomalies.
Wiggly Whipped Inflation JCAP 1408, 048 (2014) - Proposes a model that blends smooth and sharp features in the inflaton potential.
Comparing multi-field primordial feature models with the Planck data JCAP 2106, 005 (2021) - Evaluates multi-field inflationary models using Planck data constraints. This is the first work that compares exact solution of multi-field inflation with the data.
Generating PBHs and small-scale GWs in two-field models of inflation JCAP 2008, 001 (2020) - Generation of primordial black holes and small-scale gravitational waves.
BINGO: A code for the efficient computation of the scalar bi-spectrum JCAP 1305, 026 (2013) - Presents a numerical tool for bispectrum analysis in inflationary models.
Primordial non-Gaussianity in the forest: 3D bi-spectrum of Ly-alpha flux spectra Phys. Rev. Lett. 109, 121301 (2012) - Uses Lyman-α forest data to probe primordial non-Gaussianity.
I have pioneered free-form and non-parametric methods to reconstruct the primordial power spectrum. These techniques offer robust, model-independent ways to investigate early universe physics and explain tensions in cosmological data.
Primordial power spectrum from Planck JCAP 1411, 011 (2014) - Performs a free-form reconstruction of the power spectrum using Planck data.
Primordial power spectrum: a complete analysis with the WMAP nine-year data JCAP 1307, 031 (2013) - Analyzes WMAP data to constrain the shape of the primordial spectrum.
Cosmological parameter estimation with free-form primordial power spectrum Phys. Rev. D 87, 123528 (2013) - Estimates cosmological parameters using free-form spectrum reconstructions.
I have contributed extensively to reconstructing the history of cosmic reionization using CMB and UV observations. This includes both model-independent approaches and Gaussian Process techniques to probe astrophysical signatures of the early universe.
Joining bits and pieces of reionization history Phys. Rev. Lett. 125, 071301 (2020) - Builds a consistent reionization history from multiple observational sources.
Witnessing the reionization history using Cosmic Microwave Background observation from Planck JCAP 1711, 028 (2017) - Uses Planck data to study the timing and nature of cosmic reionization.
Gaussian Process Reconstruction of Reionization History Astrophys. J. 922 (2021) 95 - Applies Gaussian processes to reconstruct the ionization fraction history.
My research addresses the growing tensions in cosmological datasets, such as discrepancies in Hubble constant measurements, matter clustering, and CMB-derived parameters. I investigate whether deviations in the primordial spectrum can explain these issues.
One spectrum to cure them all: signature from early Universe solves major anomalies and tensions in cosmology JCAP 08 (2022) 063- Offers a unified inflationary spectrum to resolve several cosmological anomalies and tensions.
Discordances in cosmology and the violation of slow-roll inflationary dynamics Phys. Rev. Lett. 130, 111001 (2023) - Explores cosmological tensions via deviations from slow-roll inflation.
Parameter discordance in Planck CMB and low-redshift measurements JCAP 1904, 036 (2019) - Investigates mismatches between CMB and low-redshift observational data.
Exploring the discrepancy between Planck PR3 and ACT DR4 JCAP 2024, 038 - Analyzes differences in cosmological parameters between major CMB datasets.
Modelling the first wave of COVID-19 in India PLOS Computational Biology 18(10): e1010632 (2022); Developed a detailed computational model for COVID-19 spread in India using methods adapted from cosmology.
Understanding the Bias between the Number of Confirmed Cases and Actual Number of Infections
medRxiv preprint (2020) - Analyzed underreporting and case bias using statistical frameworks drawn from cosmological data modeling.
ELiXSIR: GitLab Repository (2020) – Developed an extended, zone-linked compartmental SIR model (elixsir) with adaptive stepsize control to simulate COVID‑19 dynamics across multiple regions.