Nihar Gupte

PhD Student
Astrophysical and Cosmological Relativity
Location Potsdam
+49 331 567-7113

Main Focus

My current research interests include using machine-learning methods to do Bayesian parameter estimation on eccentric binary black holes. With the coming runs of LIGO where we can expect O(100) events. Therefore, rapid and reliable inference of gravitational wave events is necessary. With machine-learning we can achieve this. I am also interested in ringdown tests of general relativity and black hole quasi-normal modes. By doing parameter estimation on the final phase of a black hole merger, we can put constraints on other theories of gravity.

Here are links to my publications: from INSPIRE, and from the ADS database.

Curriculum Vitae

2017-2021    Bachelor of Science in Physics from University of Florida under the direction of Prof. Imre Bartos where I worked on using genetic algorithms to improve inference of electromagnetic follow up to gravitational waves.
2017-2021    Bachelor of Science in Mathematics from University of Florida where I worked on using persistent homology (topological data analysis) to predict the redshift of clusters in the cosmic web.
Since 2021    Ph.D student at the University of Maryland
Starting from Jan. 2022 I am a Ph.D student at the Max Planck Institute for Gravitational Physics working under the direction of Alessandra Buonanno and Jonathan Gair.

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