Work

I design learning systems, build the operational infrastructure to run them, and use behavioral data to measure what works. My background spans Stanford research, program coordination, AI tool evaluation, and community college instruction — with a consistent focus on closing the loop between evidence and action.

I’m currently seeking roles at the intersection of learning science, program leadership, and behavioral research in industry and university settings.

Download full CV  ·  Download resume  ·  Learning design portfolio  ·  Research & measurement portfolio

Experience

• 2022–2026: Psychology Instructor & Learning Designer, College of San Mateo
  • Designed and delivered courses across 4 subjects for 1,500+ students in in-person, hybrid, and fully asynchronous formats
  • Built dual-enrollment program from zero infrastructure; designed onboarding materials for partner instructors and iterated course architecture semester by semester in response to student and community needs
  • Deployed a prompt-engineered AI feedback system across 640+ submissions per term; identified and corrected for systematic positive feedback bias across iterative prompt versions
  • Identified Week 1 behavioral engagement as the strongest predictor of course success; built a proactive early-intervention system resulting in 2.2× higher pass rates among reached students; course success rate 50%→78%, retention 64%→92%
  • Served as AI Early Access Product Evaluator for Instructure (Canvas), assessing AI features in active development and delivering written efficacy evaluations directly to the engineering and product team
• 2019–2022: Teaching & Program Coordinator, Symbolic Systems Program & CSLI, Stanford University
  • First-ever coordinator hire for Stanford’s flagship interdisciplinary AI and cognitive science program; built all training and operational infrastructure from scratch with no predecessor and no documentation
  • Managed 12 TAs and 5 rotating senior faculty per term; designed TA onboarding guides, section-leader calibration rubrics, grading protocols, and FAQ library — all built to enable independent execution without ongoing coordination
  • Executed full course redesign during COVID-19 transition, rebuilding communication infrastructure, training protocols, and section workflows in under two weeks; course evaluations rose from 3.3→4.6 (highest in program history), enrollment grew 200→300 (+50%)
  • Ran NSF-funded undergraduate research internship program (CSLI): managed 700+ applicant pipeline, placed 12 interns across 12 interdisciplinary labs annually, designed equity-based selection policy, and contributed to grant renewal reporting
  • Built institutional knowledge systems — coordinator readme, postmortem templates, teaching team wikis — designed to persist across rotating faculty and TA cohorts
• 2013–2019: PhD Researcher & Instructor, Department of Psychology, Stanford University
  • Conducted 100+ behavioral experiments with 2,000+ participants (adults and children) across the US, South Korea, and India on pragmatic language reasoning, cognitive development, and social norm acquisition
  • Co-developed and validated a Bayesian utility-theoretic computational model of communicative reasoning (R²=.97); published in Open Mind (MIT Press)
  • Led cross-cultural studies on children’s moral and social reasoning; published in Journal of Experimental Child Psychology and Developmental Science
  • Trained and mentored 15+ undergraduate researchers end-to-end: literature review, IRB-compliant data collection with child participants, analysis, presentation, and paper writing
  • Taught undergraduate courses in cognitive psychology and research methods; developed all course materials, assessments, and rubrics independently
• 2015–2018: Eye-Tracking Consultant
  • Department of Education, Stanford University
  • Department of Psychology, Santa Clara University
  • Department of Communication Disorders, Ewha University

Education

• Ph.D., Psychology — Stanford University, 2019
  • Specialization: developmental psychology, pragmatic language, computational modeling
  • Hastorf Teaching Award; IRiSS Dissertation Fellowship; NSERC Postgraduate Scholarship
• B.A.Sc., Cognitive Science (Honours) — McGill University, 2013

Selected Publications

• Yazdi, H., Schneider, R. M., Mejia, M. A., Frank, M. C., Srinivasan, M., Yoon, E. J., Dunham, Y., & Barner, D. (2026). The development of morality and conventionality across cultures. Developmental Science, 29(1).

• Yoon*, E. J., Tessler*, M. H., Goodman, N. D., & Frank, M. C. (2020). Polite speech emerges from competing social goals. Open Mind, 4, 71–87.

• Yoon, E. J., & Frank, M. C. (2019). The role of salience in young children’s processing of ad-hoc implicatures. Journal of Experimental Child Psychology, 186, 99–116.

Awards & Recognition

• Barwise Teaching Award — Stanford Symbolic Systems Program
• Hastorf Teaching Award — Stanford Department of Psychology
• IRiSS Dissertation Fellowship — Stanford University
• NSERC Postgraduate Scholarship – Doctoral ($63,000)
• NSERC Postgraduate Scholarship ($17,300)
• Dissertation Research Grant — Stanford Department of Psychology
• Preparing Future Professors Fellow — Stanford University
• Canvas AI Early Access Evaluator — Instructure, 2025

Skills

• Research & Methods: Experimental and quasi-experimental design, longitudinal mixed methods, construct and concurrent validity, measurement equivalence, eye-tracking, behavioral signal detection, leading-indicator frameworks, A/B testing logic
• Statistics & Modeling: Regression, Bayesian modeling (collaborative), hierarchical linear modeling, Drift Diffusion Models, behavioral trace and logs analysis; R (advanced), Python
• AI & Learning Tech: Prompt engineering, AI-augmented learning systems, FERPA-compliant deployment, Canvas LMS (10+ years), Canvas AI evaluator, Google Workspace for Education, Gradescope, Slack
• Languages: Korean (native), English (fluent), Japanese (intermediate), French (intermediate)