Elaine Anita de Melo Gomes Soares, M.Sc.

Computer Science Education Specialist
Expanding Pathways in Computing

Phone: 832-586-8107 | Email: esoares@tacc.utexas.edu

Elaine Soares joined the Texas Advanced Computing Center in June 2025 as a Computer Science Education Specialist. In this role, she develops and delivers professional-development workshops teachers across Texas, designs curriculum resources, and supports districts in integrating computer science into their instructional programs. Previously, Elaine taught Computer Science at Stephen F. Austin High School (Fort Bend ISD) from 2022–2025, where she led advanced Computer Science courses, supervised the Computer Science Honor Society, and coached students in programming competitions. A native to Brazil, she relocated to Houston in 2019 after earning her Bachelor’s in Computer Science and Master’s in Decision Making and Health from the Federal University of Paraíba.

Selected Publications

Pinto, M. M. P. S., Soares, E. A. M. G. S., Lima, L. M. M. de, Silva, K. de L., & Moraes, R. M. (2025). Spatial decision support system for management in the care of children’s chronic conditions. Cadernos de Saúde Coletiva, 33(1). https://doi.org/10.1590/1414-462X202433010369 SciELO

Moraes, R. M., Rodrigues, A. K. G., Soares, E. A. M. G. S., & Machado, L. S. (2020). A new fuzzy beta naive bayes classifier. In Developments of Artificial Intelligence Technologies in Computation and Robotics: 14th International FLINS Conference (FLINS 2020) (pp. 437–445).

Moraes, R. M., Soares, E. A. M. G. S., & Machado, L. S. (2020). A double weighted fuzzy gamma naive bayes classifier. Journal of Intelligent & Fuzzy Systems, 38, 577–588.

Areas of Research

• Computer science pedagogy and curriculum design
• Equity and access in K–12 computing education
• Data-driven instructional decision making

Memberships

• CSTA, Computer Science Teachers Association
• NAFIPS, North American Fuzzy Information Processing Society
• TCEA, Texas Computer Education Association