Master of Arts in Social Data Science
Arizona State University — Expected December 2026
GPA: 4.0
GPA: 4.0
This program strengthens my ability to work at the intersection of data science, social research, and policy-relevant analysis. My coursework emphasizes statistical modeling, data wrangling, visualization, and storytelling with data, with a strong focus on ethical and equity-centered applications. Through applied projects, I analyze large and complex datasets to surface insights that inform decision-making in education, public health, and social systems.
Featured Projects
- Project 1
Master of Science in Learning Sciences & Technologies
Worcester Polytechnic Institute — May 2022
My graduate training focused on how people learn with and through technology, combining learning theory, qualitative and quantitative research methods, and design-oriented inquiry.
Master’s Thesis
Perez Lacera, L. (2022). A Qualitative Exploration of Student Preconceptions of Computational Thinking
This thesis examined how students conceptualize computational thinking prior to formal instruction, using qualitative methods to surface misconceptions and emergent themes. The work contributes to improving instructional design and assessment practices in K–12 and higher education STEM contexts.
This thesis examined how students conceptualize computational thinking prior to formal instruction, using qualitative methods to surface misconceptions and emergent themes. The work contributes to improving instructional design and assessment practices in K–12 and higher education STEM contexts.
Bachelor of Science in Psychological Science
Worcester Polytechnic Institute — May 2020
My undergraduate education emphasized experimental design, statistical analysis, and research ethics, with extensive hands-on research experience in cognitive, social, and educational psychology.
Undergraduate Research Projects
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Perez Lacera, L. (2019). Evaluating Grit Through the Use of MathSpring in Individualistic and Collectivist Cultures
Investigated cross-cultural differences in student persistence and motivation within an intelligent tutoring system. -
Beatty, P., Vega, D., & Perez Lacera, L. (2019). The Motivations of Social Tuning: Perspective Taking and Affiliative Motivation
Contributed to experimental research examining how social motivations influence attitudes and behavior.
Research Ethics & Certification
IRB Social & Behavioral Research (Group 2)
CITI Program — January 2025 – January 2029
CITI Program — January 2025 – January 2029
Certified in ethical research practices involving human subjects, with an emphasis on data privacy, consent, and responsible research conduct in social and behavioral sciences.
Academic Focus Areas
- Social data science and applied statistical analysis
- Learning sciences and educational technology
- Computational thinking and STEM education
- Mixed methods research (qualitative & quantitative)
- Equity-focused and ethically grounded research design
This educational background underpins my work in data analysis, evaluation, and research roles across K–12, higher education, and public-sector contexts.