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!
- [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)