I am a social data scientist with a deep fascination for the problems located at the intersection of technology, policy, and society.
As a doctoral candidate at Maastricht University, I explore how narratives around extreme weather events interact with public sentiment and climate perceptions. My research draws from natural language processing, computational social science, agent-based modelling, and climate communication to understand how people make sense of climate change.
Outside of research, I enjoy walking in nature, lifting weights, and honing my guitar skills.
Working Paper | 2025
This paper explains how newspaper narratives surrounding May 2023 flooding of the Emilia-Romagna align with public sentiment and climate risk perception. At the macro level, actor roles are extracted from news paper articles published over a year long period covering the floods using Large Language Model RoBERTa together with an ensemble model XG-Boost. Micro-level narratives are captured through an online survey conducted in the Emilia-Romagna region of Italy to identify the most widely perceived actor roles. These macro and micro level narrative character roles are then compared and analyzed. The findings reveal a misalignment between macro-level portrayals of actor roles and micro-level perceptions, leading to a potential dissonance between public sentiment and media representations of the issue.
Working paper | 2025
This paper evaluates the capacity of a large language model (ChatGPT/GPT-4) to identify narrative character roles of hero, villain, and victim without any in-domain training data. Building on prior work, we compare the model’s zero-shot outputs to human annotations. We assess accuracy, ambiguity, and role consistency, as well as the model’s ability to detect framing differences.
Technical Report | June 2023
This report evaluates six co-creation pilots from the SHIFFT project (Interreg 2 Seas), which aimed to accelerate the adoption of sustainable heating technologies across Belgium, the Netherlands, France, and the UK. The pilots engaged 6,769 households and exceeded their CO₂ reduction goal by 224%, achieving a reduction of 7,677 tons/year. The participatory three-step co-creation approach involved stakeholder analysis, action plan design, and real-life implementation. Key contributions include lessons on behavioural change, investment mobilization, and scaling strategies for sustainable heat transitions.
Master Thesis | 2022
This study is focused on exploring demand response opportunities in community energy projects located in the Netherlands to reduce their dependence on the grid. Existing studies on community energy projects are primarily focused on residential members, and have little to no inclusion of nonresidential community members. However, recent studies regarding demand response in the energy community highlight the benefits of having a mixed configuration of residential and non-residential members. Introducing non-residential community members such as SMEs, offices, and schools with a complementary demand profile can help the community in attaining self-sufficiency through demand response. Formulating energy communities with a mixed configuration (i.e. including residential and non-residential community members) optimizes local electricity generation and consumption thus avoiding congestion in the distribution network.
Tutor (Bachelor Economics and Business Economics | Spring 2024–25)
This course critically examines the real and monetary dimensions of global economic integration. Key topics include exchange rate dynamics, international trade theory and policy, macroeconomic management in open economies, and trade balances. Students engage with debates around globalization, inequality, and institutional roles (e.g., IMF, World Bank, WTO), using theoretical frameworks to assess trade policy and global wealth distribution.
Tutor (Bachelor Business Engineering | Fall 2023–24 & 2024–25)
This course explores sustainable development through academic definitions, decision-making tools, and practical applications. Adopting a multidimensional lens, social-cultural, ecological, and economic, it features lectures, practical sessions, group discussions, and case studies.
Tutor (Bachelor International Business – Emerging Markets | Fall 2023–24 & 2024–25)
This course prepares students to analyze global economic influences on emerging markets and understand their growing geopolitical role. Topics include trade, FDI, financial globalization, environmental regulation, and migration.
Tutor (Bachelor Course | Summer 2023–24)
This course introduces students to market behavior through interactive simulations, where they take on roles as consumers, producers, or traders. By analyzing simulation data and comparing outcomes to economic theory, students deepen their understanding of market dynamics.
Tutor (Bachelor Course | Summer 2022–23)
Designed for undergraduate students, this course expands presentation techniques beyond PowerPoint. It includes Pecha-Kucha (timed image-based talks), Elevator Pitches (concise communication), and TED style storytelling and stage presence.
I regularly supervise bachelor thesis projects for students in the BSc. International Business and BSc. Economics & Business Economics programs with Emerging Markets specialization. Recent theses include:
