Dr. Zhina Shen
Director of Research and Evaluation
Expert in statistical analysis, STEM education, learning disabilities, and behavior disorders.
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Our team combines deep expertise in evaluation, research, data analytics, assessment, and learning sciences to help organizations make smarter decisions, strengthen programs, and create lasting outcomes for the learners and communities they serve.
Founder, CEO & Chief Data Analyst
I work with academic leaders to design and implement human-centered STEM research and evaluation studies and programs that encourage growth, foster success, and promote inclusivity.
Dr. Blackmon is a STEM education researcher and evaluator with more than 25 years of experience in data analytics, ethnography, and human-centered program evaluation. She founded Innovative Learning Center (ILC) in 2003 and has contributed to more than 20 funded STEM initiatives.
Her work has informed over 30 reports, conference presentations, and research papers and includes an eye-tracking research study that is advancing how we understand problem difficulty and cognitive activity in chemistry problem-solving.
Ph.D. Educational Studies Science Education Emory University
B.S. & M.S. Analytical Chemistry Georgia Tech
Postdoctoral Fellow Cultural Anthropology Two-Year Fellowship
Former Research Chemist Dow Chemical & 3M
Director of Research and Evaluation
Expert in statistical analysis, STEM education, learning disabilities, and behavior disorders.
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Data Scientist and Statistician
Specializes in advanced statistical modeling, data science, psychometrics, and machine learning.
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Evaluation Consultant
Expert in museum learning, creative design, and place-based public arts and evaluation.
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Evaluation Analyst and User Researcher
Specializes in evaluation research, user experience research, and human-centered design.
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Graduate Student Intern
PhD Candidate, University of Illinois
Supports research and evaluation projects through graduate-level inquiry, data collection, analysis, and evidence synthesis.
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Graduate Student Intern
PhD Candidate, University of Illinois
Supports research and evaluation projects through graduate-level inquiry, data collection, analysis, and evidence synthesis.
View Full ProfileMeasure outcomes, demonstrate impact, and improve programs through evidence-based evaluation.
Design rigorous qualitative, quantitative, and mixed-methods studies that answer meaningful questions.
Transform complex data into actionable insights using advanced statistical methods and visualization.
Support student success through reliable assessment, learning analysis, and evidence-informed recommendations.
Strengthen organizational capacity with evaluation planning and research support for competitive funding.
Work alongside your team to develop practical solutions tailored to your organization's goals and mission.
Whether you’re seeking evaluation expertise, educational research, advanced data analytics, or assessment support, our team is ready to help you turn evidence into meaningful action.