معرفی
Eunice E Santos serves as a Professor at the School of Information Sciences, University of Illinois, where she leads interdisciplinary research bridging computer science and public health systems. Her work focuses on computational modeling of complex social phenomena with direct applications to epidemic response and healthcare policy.
Her research program centers on Social Network Analysis and Epidemic Modeling, with specialized expertise in Knowledge Base Systems, Parallel Algorithms, and Agent Based Modeling. She develops frameworks that integrate socio-behavioral dynamics into disease transmission models, particularly examining how community structures influence information spread during pandemics and medical guideline adoption in physician networks. Recent projects emphasize culturally infused modeling approaches to address disparities in healthcare dissemination.
Analysis of her 89+ publications reveals a strong trajectory toward unified computational frameworks for socio-technical systems, with increasing emphasis on real-world public health applications since 2020. Her work demonstrates consistent methodological innovation in large-scale network analysis and influence prediction algorithms.
Her scientific recognition includes:
- IEEE Fellow (2023) for contributions to social network analysis and epidemic modeling
Dr. Santos actively engages with policy communities, as evidenced by her 2020 expert commentary on pandemic behavior prediction that reached 57 Mendeley readers and was covered by 5 news outlets. She co-organizes the IEEE ParSocial workshop series, fostering collaboration between parallel computing and computational social science researchers.
