I am postdoctoral fellow at Beijing International Center for Mathematical Research, Peking University, supervised by Jian Ding. I obtained my PhD from the Department of Statistics and Operations Research at the University of North Carolina, Chapel Hill, under the supervision of Sayan Banerjee and Mariana Olvera-Cravioto.
Research Interests
I am broadly interested in probability. More specifically, I am interested in random graphs and networks, and process on them. My current work includes describing the local weak limits of various random graph models through couplings, and analyzing local properties like the distribution of degrees and PageRank scores of these models.
Publications
Published
Sayan Banerjee, Prabhanka Deka, and Mariana Olvera-Cravioto (2023). "Local weak limits for collapsed branching processes with random out-degrees." Stochastic Processes and their Applications 182 (2025).
Sayan Banerjee, Prabhanka Deka, and Mariana Olvera-Cravioto (2023). "PageRank Nibble on the sparse directed stochastic block model." International Workshop on Algorithms and Models for the Web-Graph. Cham: Springer Nature Switzerland.
Preprints and in preparation
Prabhanka Deka, Fangzhou Luo, and Baichuan Wu. "Rare event probabilities in Random Geometric Graphs." arXiv preprint arXiv:2510.09196 (2025).
Addario-Berry, L., Bell, S., Deka, P., Donderwinkel, S., Maniyar, S., Wang, M., and Winter, A. (2025). "Revisiting scaling limits for critical inhomogeneous random graphs with finite third moments." arXiv preprint arXiv:2509.08439 (2025).
Sayan Banerjee, Prabhanka Deka, and Mariana Olvera-Cravioto. Strong coupling for inhomogenerous random digraphs with applications to PageRank.
I have been the teaching assistant for various graduate and undergraduate level classes offered in the STOR Department at UNC Chapel Hill.
STOR 634 (Graduate Probability Theory I) - Fall 2020, 2021, 2023.
STOR 635 (Graduate Probability Theory II) - Spring 2023.
STOR 655 (Graduate Staistical Theory II) - Spring 2023.
STOR 435 (Undergraduate Probability) - Fall 2019, Spring 2020, 2021, Summer 2019, 2020, 2021.