I am a second year Ph.D. candidate in the Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health. My primary research interests are Causal Inference, Statistical Genetics and Machine Learning. I am also interested in the intersection of Health and Linguistics. Click About Me for more details.

Reach me at achatto4 [at] jh [dot] edu, or check Contact for further information.

I am constantly enthusiastic about joining forces on fresh research projects, exchanging ideas, and expanding my perspectives. If you’re interested in collaborating, feel free to get in touch with me via email!

    Recent News

  • [05/2024] My paper - "Chattopadhyay, A., Deb, S. A spatio-temporal model for binary data and its application in analyzing the directions of COVID-19 spread". Accepted at AStA Advances in Statistical Analysis.
  • [05/2024] I will present "Chattopadhyay, A., Deb, S. A spatio-temporal model for binary data and its application in analyzing the directions of COVID-19 spread" as a poster at Bernoulli IMS 2024, Bochum, Germany.
  • [06/2023] I am joining the Bloomberg School of Public Health at Johns Hopkins as a PhD student starting from August 2023
  • [09/2023] Poster accepted at SAMGlasgow 2023 (Anagh Chattopadhyay, Soumya Sankar Ghosh, Priyankar Gangopadhyay)
  • [10/2023] Paper "Generalization in Natural Language Clustering through Non-Paramatic Statistical Approach" accepted in SN Computer Science(Anagh Chattopadhyay, Soumya Sankar Ghosh, Samir Karmakar)

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