Here are my google scholar, researchgate and github profiles.
Preprints
Satwik Acharyya, Jian Kang and Veerabhadran Baladandayuthapani. Spatially varying graph estimation for spatial transcriptomics cancer data. [Manuscript | Code]
Sagnik Bhadury, Michele Peruzzi, Satwik Acharyya, Joel Eliason, Marina Pasca Di Magliano, Tim Frankel, Visweswaran Ravikumar, Santhoshi Krishnan, and Arvind Rao. Informed Spatially aware Patterns for Multiplexed Immunofluorescence Data. [Manuscript available upon request]
Allison M. May, Suguru Kadomoto, Claire Williams, Alex C. Soupir, Stephanie The, Jake J. McGue, Tyler Robinson, Greg Shelley, Mitchell T. Hayes, Brooke L. Fridley, Jodi A. Balasi, Paolo M. Ramos Echevarria, Jasreman Dhillon, Srinivas Nallandhighal, Satwik Acharyya, Liying Chen, Jessica Aldous, Nathan Schurman, Veera Baladandayuthapani, Timothy L. Frankel, Simpa S. Salami, Brandon J. Manley, Rohit Mehra, Aaron M Udager, Evan T. Keller. Spatial analysis reveals a novel inflammatory tumor transition state which promotes a macrophage-driven induction of sarcomatoid renal cell carcinoma. [ Manuscript ]
Zhenying Ding, Li Zhang, Satwik Acharyya, Peng Li, AKM Rahman, Xiaoxiao Zhou, Nengjun Yi (2025). Bayesian Survival Analysis for High-Dimensional Compositional Data. [Manuscript available upon request]
Published
Christina R. Larson, Ayushi Mandloi, Satwik Acharyya, Julienne L. Carstens (2025). The tumor microenvironment across four dimensions: assessing space and time in cancer biology. Frontiers in Immunology, 16:1554114. [ Manuscript ]
Md Hasanul Banna Siam, Md Akkas Ali, Donald Vardaman III, Satwik Acharyya, Mallikarjun Patil, Daniel J. Tyrrell (2025). CAFE: An Integrated Web App for High-Dimensional Analysis and Visualization in Spectral Flow Cytometry. Bioinformatics, 41(6). [ Manuscript | Code ]
Liying Chen*, Satwik Acharyya*, Chunyu Luo, Yang Ni and Veerabhadran Baladandayuthapani (2025). A probabilistic modeling framework for genomic networks incorporating sample heterogeneity. Cell Reports Methods, 5(2). (* -> equal contribution) [ Manuscript | Supplementary | Code | Shiny App ]
Shariq Mohammed, Maria Masotti , Nate Osher, Satwik Acharyya, Veerabhadran Baladandayuthapani (2024). Statistical Analysis of Quantitative Cancer Imaging Data. Statistics and Data Science in Imaging, 1(1). [ Manuscript ]
Yousef Zakharia, Eric Singer, Satwik Acharyya, Rohan Garje, Monika Joshi, David Peace, Veera Baladandayuthapani, Claudia Lalancette, Ilona Kryczek, Weiping Zou, Ajjai Alva (2024). Single Arm Phase Ib/II Study of Durvalumab and Guadecitabine in Advanced Clear Cell Renal Cell Carcinoma: Big Ten Cancer Research Consortium BTCRC-GU16-043. Nature Communications, 15(972). [ Manuscript ]
Satwik Acharyya, Debdeep Pati, Dipankar Bandyopadhyay and Shumei Sun (2023). A monotone single index model for missing-at-random longitudinal proportion data. Journal of Applied Statistics, 51(6): 1023-1040. [ Manuscript | Code ]
Satwik Acharyya, Xiang Zhou and Veerabhadran Baladandayuthapani (2022). SpaceX: Gene Co-expression Network Estimation for Spatial Transcriptomics. Bioinformatics, 38(22): 5033–5041. [ Manuscript | Supplementary | Code | Website ] (Winner of Early Career Paper Award from Biometrics Section of ASA, JSM 2022)
Abhisek Saha, Min Jin Ha, Satwik Acharyya and Veerabhadran Baladandayuthapani (2022). A Bayesian Precision Medicine Framework for Calibrating Individualized Therapeutic Indices in Cancer. The Annals of Applied Statistics, 16(4): 2055 – 2082. [ Manuscript | Code ]
Satwik Acharyya, Zhengwu Zhang, Anirban Bhattacharya and Debdeep Pati (2022). Bayesian Hierarchical Modeling on Covariance Valued Data. Stat, 12(1), e534. [ Manuscript ] (Winner of SBSS Student Paper Award, JSM 2019)
Dissertation
Case Studies in Hierarchical Bayesian Modeling. Satwik Acharyya (2020). Texas A&M Univeristy.