Resume
Experience
2020-present
PhD
GRAPPA, University of Amsterdam
Science Park 904, 1098XH, Amsterdam
As a PhD scholar in the group of Dr. Samaya Nissanke, Dr. Christoph Weniger and Dr. Philipp Moesta, I work on gravitational wave parameter inference and algorithm development using deep learning for current and future gravitational wave detectors.
I am a part of the LIGO-VIRGO-KAGRA collaboration, the ET collaboration and the GRANDMA collaboration.
I acknowledge funding from the CORTEX collaboration (PI: Dr. Samaya Nissanke)
2020
Visiting student
GRAPPA, University of Amsterdam
​Science Park 904, 1098XH, Amsterdam
I joined the research group of Dr. Samaya Nissanke at GRAPPA, University of Amsterdam as a visiting research student wherein I was exposed to various research developments in the area of gravitational waves, multi-messenger astrophysics and bayesian data analysis techniques.
Education
2018-2020
Courses: My core course modules involved General relativity, Cosmology (I, II), Theoretical astrophysics, Stellar astrophysics, Gravitational waves, Observational astronomy and Python for data analysis.
Research: I carried out research in the Galaxy clusters and cosmology group at the Institute for Theoretical Astrophysics on detecting galaxy clusters in the Sloan Digital Sky Survey under the supervision of Dr. Matteo Maturi and cosigned by Prof. Dr. Matthias Bartelmann.
Skills: Throughout my degree in Heidelberg University I developed skills in big-data analysis and probing fundamental physical phenomena pertaining to structure formation in the universe and gravitational systems in a data driven way. Additionally, developed skills in collaborative research and algorithm development.
M.Sc. Physics
ITA, ZAH, Heidelberg University
Grabengasse 1, 69117 Heidelberg, Germany
2013-2016
B.Sc. Physics with honours
Ramjas College, Delhi University
​Faculty of Science, Kamla Nehru Ridge, Civil Lines, Delhi, 110007, India
Courses: My core course modules involved Mathematical Physics, Electrodynamics, Classical mechanics, Quantum mechanics (theory), Functional analysis, Experimental electronics, Electronics (theory), Network systems, Nuclear physics, Geometrical and wave optics.
Research: During my B.Sc. in physics, I carried out several research visits to the National Centre of Radio Astronomy (NCRA), IUCAA, RAC working on radio astronomy observations and subsequent data analysis of radio pulsars.
Skills: Throughout my degree in Delhi University, I was exposed to several aspects of classical and quantum physics and high energy astrophysics. I developed skills in computational astrophysics with focus on real-time data analysis and data conditioning.
I also received initial exposure to collaborative research and gained insight into the world of big-data and data driven physics.
Awards: Inspire Scholar -- 2013-2016
I was awarded the Scholarship for Higher Education (SHE) from the Department of Science and Technology (DST), Govt. of India under the INSPIRE program for top 1 percentile of AISSCE qualified STEM students in the country.
Professional skillset
Machine learning: Simulation based inference, probabilistic learning
Programming languages: Python, C++, IRAF,
Teamwork & Collaboration
Data analysis
Languages
English (proficient)
Assamese (Native)
Hindi (Proficent)
German (Basic working capacity)