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General Information
| Full Name | Kyuri Park |
| Location | Amsterdam, the Netherlands |
| kyurigracepark@gmail.com | |
| ORCID | 0000-0001-8502-2134 |
| Languages | Korean (native), English (fluent), Dutch (B1) |
Education
- 2023 - present
PhD Candidate
Computational Science Lab, Informatics Institute, University of Amsterdam
- Expected completion August 2027.
- Supervisors: Vítor V. Vasconcelos and Mike Lees.
- Spring 2026
Visiting Scholar
Stanford Doerr School of Sustainability, Stanford University
- Hosted by Sara Constantino; research on climate-attitude networks, belief systems, social norms, and exploratory causal discovery.
- Summer 2026
Complex Systems Summer School
Santa Fe Institute
- Selected participant; interdisciplinary training and collaborative modeling projects in complex systems.
- 2023
MSc Methodology and Statistics
Utrecht University
- Cum laude, GPA 9.04/10.00.
- Supervisors: Oisín Ryan and Lourens J. Waldorp.
- 2021
BSc Psychology (Psychological Methods)
University of Amsterdam
- Cum laude, GPA 9.05/10.00; Honors Programme.
- Supervisors: Claudia van Borkulo and Denny Borsboom.
- 2017
BSc Business Management
University of Houston
- Summa cum laude, GPA 3.94/4.00; specialization in Finance Management and Accounting.
- Exchange semester at Mount Royal University, Calgary, Canada.
Selected Publications
- Park, K., Waldorp, L. J., & Vasconcelos, V. V. (2026). A mechanistic model of symptom dynamics: Implications for statistical network analyses. Multivariate Behavioral Research. [in press].
- Park, K., Li, X., Waldorp, L. J., Lees, M., & Vasconcelos, V. V. (2026). The role of feedback loops in dynamical symptom networks. Scientific Reports, 16, 11273.
- Park, K., Vasconcelos, V. V., & Lees, M. (2026). A tutorial on causal network simulation and exploration using the causalnet R package. Behavior Research Methods, 58, 204.
- Park, K., Elsenburg, L. K., Nicolaou, M., Stronks, K., & Vasconcelos, V. V. (2026). Connecting precariousness and depression: From causal discovery to intervention simulation. SSM - Mental Health, 9, 100637.
- Full list with links, abstracts, and the preprint: see the Publications page.
Grants, Fellowships & Awards
- 2026 - 2027
- Van der Gaag Grant, Royal Netherlands Academy of Arts and Sciences (KNAW) - PI
- 2026
- Bridge Grant, Complex Systems Society
- Travel Award, International Meeting of the Psychometric Society
- 2025 - 2027
- Energy Transition through the Lens of the SDGs (ENLENS) Research Grant
- 2025
- Amsterdam University Fund - PhD Grant
- Travel Award, International Meeting of the Psychometric Society
- 2021 - 2023
- Utrecht Excellence Scholarship, Utrecht University
- 2017
- Scholarship Excellence Award, University of Houston
- 2014 - 2017
- UH Academic Excellence Scholarship, University of Houston
Selected Presentations
- Jul 2026
- A slow-fast perspective on between-group differences in symptom networks. International Meeting of the Psychometric Society, Seoul, South Korea.
- Jul 2025
- Computational modeling of symptom dynamics and their implications for statistical networks. International Conference on Computational Science, Singapore.
- Unraveling symptom dynamics: A mechanistic approach to feedback loops and causal discovery. International Meeting of the Psychometric Society, Minneapolis, MN.
Invited Talks & Seminars
- May 2026
- Executive function engagement as a slow-fast stochastic dynamical system. Center for Mind and Brain, University of California, Davis, CA, USA.
- Apr 2026
- Complex systems approaches to mental health and climate-change attitudes. Biohealth Convergence and Open Sharing System (COSS), South Korea.
- Feb 2026
- Slow-fast coupling: Curie-Weiss symptoms under context dynamics. 3rd Joint Kobe University-UvA Workshop on Computational Social Science and Intelligent Systems, Amsterdam.
- Jan 2026
- Structural risk shifts symptom thresholds without altered symptom coupling: A slow-fast perspective. Theory Methods Lab Seminar, Amsterdam.
- Mar 2025
- Computational approaches to mental health at the symptom level. 2nd Joint Kobe University-UvA Workshop on Computational Social Science and Intelligent Systems, Amsterdam.
Research Experience
- 2023 - present
PhD Researcher
Computational Science Lab, Informatics Institute, University of Amsterdam
- Develop causal and dynamical models of complex human systems, with applications in mental health, climate attitudes, belief dynamics, and urban adaptation.
- Combine causal discovery, network analysis, agent-based modeling, and simulation to study feedback processes, structural uncertainty, and intervention effects.
- Lead developer of causalnet, an open-source R package for generating alternative directed structures from a network skeleton, including networks with cycles, summarizing their properties, and simulating nonlinear or user-defined dynamics.
- 2021 - 2023
Research Assistant
Utrecht University
- Enhanced the R package mHMMbayes (Multilevel Hidden Markov Models Using Bayesian Estimation) and developed tutorial materials.
- Contributed to the mice R package and developed a synthetic-data approach for evaluating imputation-model validity with Gerko Vink.
- Developed procedures for producing reproducible synthetic-data extracts from Statistics Netherlands data and co-developed the synthpop.extract R package with Erik-Jan van Kesteren.
- Translated a Bayesian piecewise-linear regression implementation for dynamic network construction from MATLAB to R.
- Applied and compared cyclic causal-discovery algorithms (CCD, FCI, CCI) for psychological data.
- Coded methodological characteristics of psychological network studies in NVivo with Noémi Schuurman.
- 2019 - 2021
Research Assistant
Psychological Methods, University of Amsterdam
- Conducted a meta-analysis of predictors of science skepticism, developed JASP tutorials, and modeled networks containing variables operating at different timescales using Ising and mixed graphical models.
Teaching & Student Mentoring
- 2023 - 2025
Teaching Assistant, "Complexity - Can It Be Simplified?" (BSc Honors/MSc)
University of Amsterdam · Vítor V. Vasconcelos
- 2024 - 2025
Teaching Assistant, "Causality" (MSc Artificial Intelligence)
University of Amsterdam · Sara Magliacane
- 2023 - 2024
Teaching Assistant, "Modeling System Dynamics" (MSc Information Studies)
University of Amsterdam · Debraj Roy
- 2021
Teaching Assistant, "AI and Psychology" (BSc Psychology)
University of Amsterdam · Han van der Maas
- 2021 - 2023
Course material development & R support
Utrecht University
- Developed practical materials for Python programming, Bayesian networks, relational-event models, missing data, imputation, and text mining courses; provided R programming support to sociology graduate students.
- Summer 2016
Teaching Assistant, Social Economics
University of Pennsylvania · Femida Handy
- 2026
MSc supervision - Henry Zwart
MSc Computational Science (2026). Thesis: Interventions on Asymmetric Belief Networks.
- 2025
MSc supervision - Paraskevas Leivadaros
MSc Data Science (2025). Thesis: Elections and climate attitudes: how do people's views on climate change and related policies change during an election?
- 2025
MSc supervision - Gabriela Torres
MSc Data Science (2025). Thesis: The Impact of COVID-19 Interventions and Extreme Weather Harm on Support for Climate Policy.
- 2024
MSc supervision - Xinhai Li
MSc Computational Science (2024). Thesis: Feedback Loops in the Dynamics of Major Depressive Disorder.
Service, Professional & Volunteer Experience
- 2018 - 2021
International Student Ambassador & Psychological Methods Student Faction
University of Amsterdam
- Represented students in programme meetings and organized academic, orientation, and outreach events.
- 2021 - 2023
Human Data Science Group
Utrecht University
- Organized research and data-science reading groups, helped coordinate Data Donation Day, and maintained the group website.
- 2017 - 2018
Cabin Crew
Emirates Airline, Dubai, UAE
- 2016 - 2017
Accounting Assistant
Amerril Energy LLC, Houston, TX, USA
- 2011 - present
Sponsor & Translator
World Vision
- Sponsor since 2011; previously translated sponsor correspondence between Korean and English.
- 2017 - 2018
Volunteer
Stray Dogs Center (SDC), Dubai, UAE
- Volunteered at the shelter and supported fundraising for veterinary expenses.
Research Interests
-
Complex Systems & Dynamics
- Dynamical systems modeling
- Multiscale (slow-fast) dynamics
- Agent-based modeling
-
Causality & Networks
- Causal discovery
- Psychometric and symptom network models
-
Applications
- Mental health
- Climate beliefs, behavior, and adaptation
Methods & Programming
-
Methods
- Causal discovery, network analysis, dynamical-systems modeling
- Stochastic differential equations, agent-based modeling, simulation studies
- Psychometric modeling, Bayesian and multilevel modeling
-
Programming
- R, Python, MATLAB
- JavaScript (learning), C++ (learning)