Dr. Chayan Chatterjee

Dr. Chayan Chatterjee

AI for New Messengers Postdoctoral Fellow

Vanderbilt University

Biography

I am the A.I. for New Messengers Postdoctoral Fellow at Vanderbilt University, USA, a position jointly offered by the Department of Physics and Astronomy and the Data Science Institute at Vanderbilt University. I obtained my PhD in Physics from The University of Western Australia in 2023, where I worked on developing deep learning models for rapid detection and sky localization of gravitational wave sources. My current research focuses on applying large language models for gravitational wave data analysis and inference from both individual and populations of sources.

I grew up in West Bengal, India, where I completed my Bachelors and Masters in Physics from Presidency University, Kolkata. During my Masters, I worked on the impact of self-interacting dark matter on cosmological large-scale structure formation. I am passionate about science communication and public outreach, having delivered several public talks and participated in science talk shows and podcasts. In addition to my interests in astronomy and physics, I enjoy reading, creative writing, films, and traveling.

Interests
  • Gravitational Waves
  • Machine Learning
  • Bayesian Inference
Education
  • PhD in Physics, 2023

    The University of Western Australia

  • Masters in Physics, 2018

    Presidency University, Kolkata

  • Bachelors in Physics, 2016

    Presidency University, Kolkata

Experience

 
 
 
 
 
The University of Western Australia
Lecturer and Facilitator (Physics)
The University of Western Australia
Feb 2020 – Nov 2023 Western Australia, Australia

Responsibilities include:

  • Teaching Gravitational Wave Astronomy course
  • Conduting tutorials
  • Grading assignments
  • Supervision during field trips
 
 
 
 
 
OzGrav
Chair - OzGrav Inference Program
OzGrav
Jan 2023 – Nov 2023 Australia

Responsibilities include:

  • Facilitate research activities.
  • Organize weekly videocons
 
 
 
 
 
OzGrav (UWA)
Student Representative (Early Career Researcher Committee)
OzGrav (UWA)
Jan 2021 – Nov 2022 Western Australia, Australia
 
 
 
 
 
Australian National Institute for Theoretical Astrophysics (ANITA)
Student Representative
Australian National Institute for Theoretical Astrophysics (ANITA)
Jan 2022 – Jan 2023 Australia
 
 
 
 
 
Postgraduate Student Association (UWA)
Research Representative (Engineering and Mathematical Sciences)
Postgraduate Student Association (UWA)
Feb 2021 – Feb 2022 Western Australia, Australia

Responsibilities included:

  • Co-organize PSA Research Week Workshop and Conference
  • Co-organize academic, social and cultural events for postgraduate students
  • Liaise with university authorities to improve postgraduate student experience

Recent Publications

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(2023). Rapid Localization of Gravitational Wave Sources from Compact Binary Coalescences Using Deep Learning. In ApJ.

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(2022). Rapid Mass Parameter Estimation of Binary Black Hole Coalescences Using Deep Learning. In ArXiv.

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(2021). Extraction of binary black hole gravitational wave signals from detector data using deep learning. In PRD.

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(2020). Enhanching Gravitational Wave Science with Machine Learning. In MLST.

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(2019). Using deep learning to localize gravitational wave sources. In PRD.

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Awards and Scholarships

Best Talk Award (Runner Up) - UWA Research Week
Best Student Talk Award at AMSI Summer School 2022
See certificate
FameLab Western Australia Finalist (2021) [Click to listen!]
FameLab is an international science communication contest in which participants deliver a three-minute talk on their research or chosen subject in a manner accessible to a general audience.
UWA Three Minute Thesis 2020 Winner and People’s Choice Award Winner 2020 [Click to listen!]
Three Minute Thesis is an annual global competition in which PhD students from across all disciplines present their research to a general audience in three minutes.
PhD scholarship
Scholarship for International Research Fees

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