cv

PhD Candidate

Computational Science Lab, Informatics Institute, University of Amsterdam

• Expected completion June 2027.
• Supervisors: Vítor V. Vasconcelos and Mike Lees.

Visiting Scholar

Stanford Doerr School of Sustainability, Stanford University

• Hosted by Sara Constantino; research on climate-attitude networks, belief systems, and exploratory causal discovery.

Complex Systems Summer School

Santa Fe Institute

• Selected participant; interdisciplinary training, collaborative modeling projects, and community outreach.

MSc Methodology and Statistics

Utrecht University

• Cum laude, GPA 9.04/10.00.
• Supervisors: Oisín Ryan and Lourens J. Waldorp.

BSc Psychology (Psychological Methods)

University of Amsterdam

• Cum laude, GPA 9.05/10.00; Honors Programme.
• Supervisors: Claudia van Borkulo and Denny Borsboom.

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.

• Wilhelm Brandt Fonds and Wilmerink-Van Beeck Vollenhoven Fonds - Project Grant

• Van der Gaag Grant, Royal Netherlands Academy of Arts and Sciences (KNAW) - PI

• Bridge Grant, Complex Systems Society
• Travel Award, International Meeting of the Psychometric Society

• Energy Transition through the Lens of the SDGs (ENLENS) Research Grant

• Amsterdam University Fund - PhD Grant
• Travel Award, International Meeting of the Psychometric Society

• Utrecht Excellence Scholarship, Utrecht University

• Scholarship Excellence Award, University of Houston

• UH Academic Excellence Scholarship, University of Houston

• Data-driven models of climate attitudes and behaviour across cultures. Aspen Global Change Institute workshop at Helmholtz Centre for Environmental Research, Leipzig, Germany.

• A slow-fast perspective on between-group differences in symptom networks. International Meeting of the Psychometric Society, Seoul, South Korea.

• 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.

• Executive function engagement as a slow-fast stochastic dynamical system. Center for Mind and Brain, University of California, Davis, CA, USA.

• Complex systems approaches to mental health and climate-change attitudes. Biohealth Convergence and Open Sharing System (COSS), South Korea.

• Slow-fast coupling: Curie-Weiss symptoms under context dynamics. 3rd Joint Kobe University-UvA Workshop on Computational Social Science and Intelligent Systems, Amsterdam.

• Structural risk shifts symptom thresholds without altered symptom coupling: A slow-fast perspective. Theory Methods Lab Seminar, Amsterdam.

• Computational approaches to mental health at the symptom level. 2nd Joint Kobe University-UvA Workshop on Computational Social Science and Intelligent Systems, Amsterdam.

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.

Research Assistant

Utrecht University

• Enhanced the R package mHMMbayes (Multilevel Hidden Markov Models Using Bayesian Estimation) and developed tutorial materials.
• Contributed to work on 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.

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.

MSc supervision - Henry Zwart

MSc Computational Science (2026). Thesis: Interventions on Asymmetric Belief Networks.

Teaching Assistant, "Causality" (MSc Artificial Intelligence)

University of Amsterdam · Sara Magliacane

Teaching Assistant, "Complexity - Can It Be Simplified?" (BSc Honors/MSc)

University of Amsterdam · Vítor V. Vasconcelos

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?

MSc supervision - Gabriela Torres

MSc Data Science (2025). Thesis: The Impact of COVID-19 Interventions and Extreme Weather Harm on Support for Climate Policy.

Teaching Assistant, "Modeling System Dynamics" (MSc Information Studies)

University of Amsterdam · Debraj Roy

MSc supervision - Xinhai Li

MSc Computational Science (2024). Thesis: Feedback Loops in the Dynamics of Major Depressive Disorder.

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.

Teaching Assistant, "AI and Psychology" (BSc Psychology)

University of Amsterdam · Han van der Maas

Teaching Assistant, "Social Economics: An Economic Perspective on Human Behavior"

University of Pennsylvania · Femida Handy

Research Coordinator

POLDER, University of Amsterdam

• Organize interdisciplinary events and coordinate the POLDER research community across complexity science, computational modeling, and policy.

Human Data Science Group

Utrecht University

• Organized research and data-science reading groups, helped coordinate Data Donation Day, and maintained the group website.

International Student Ambassador & Psychological Methods Student Faction

University of Amsterdam

• Represented students in programme meetings and organized academic, orientation, and outreach events.

Cabin Crew

Emirates Airline, Dubai, UAE

Accounting Assistant

Amerril Energy LLC, Houston, TX, USA