I am a Ph.D. student at the University of Southern California, where I study under Professor Urbashi Mitra. My research interests include causal discovery and fundamental performance limits in decentralized systems. Specifically, we have used causal discovery methods to understand gene regulatory networks in the THOR model microbial community, and social learning theory to understand single-cell decision-making in microbial colonies. I also interned at Disney Research - LA under Dr. Erick Moen, which involved using causal discovery and analysis to understand large, complex economic environments.
Phone number: 248-880-0388
Email: shaska@usc.edu
Publications
Journal Publications
J. Shaska and U. Mitra, A Generalized Framework for Social Learning Over State-Dependent Networks, in IEEE Transactions on Signal Processing, 2024, doi: 10.1109/TSP.2024.3460741
J. Shaska and U. Mitra, Joint Detection and Communication over Type-Sensitive Networks, Entropy 25, no. 9: 1313, 2023, https://doi.org/10.3390/e25091313
J. Shaska and U. Mitra, Causal Link Discovery with Unequal Edge Error Tolerance, submitted to IEEE Transactions on Signal Processing, 2024
V. Lungu, J. Shaska, I. Kontoyiannis, U. Mitra, Bayesian Methods and Convergence Rates for Causal Discovery, in preparation
Conference Publications
J. Shaska and U. Mitra, Causal Discovery with Unequal Edge Error Tolerance, Presented at Asilomar, October 2024.
J. Shaska and U. Mitra, Neyman-Pearson Causal Inference, 2024 IEEE International Symposium on Information Theory (ISIT), Athens, Greece, 2024, pp. 1269-1274, doi: 10.1109/ISIT57864.2024.10619696
J. Shaska and U. Mitra, Type-Sensitive Social Learning, ICC 2023 - IEEE International Conference on Communications, Rome, Italy, 2023, pp. 4634-4639, doi: 10.1109/ICC45041.2023.10279147
J. Shaska and U. Mitra, Information Structures for State-Dependent Decentralized Detection, 2022 IEEE International Symposium on Information Theory (ISIT), Espoo, Finland, 2022, pp. 2702-2707, doi: 10.1109/ISIT50566.2022.9834384
J. Shaska and U. Mitra, Decentralized Decision-Making for Multi-Agent Networks: the State-Dependent Case, 2021 IEEE Global Communications Conference (GLOBECOM), Madrid, Spain, 2021, pp. 01-06, doi: 10.1109/GLOBECOM 46510.2021.9685149
Magazine Articles
J. Shaska et al., Microbes as Communication and Decision-Making Networked Communities, in IEEE Nanotechnology Magazine, vol. 17, no. 3, pp. 32-41, June 2023, doi: 10.1109/MNANO.2023.3262431