Research

Currently, I am based at Swedbank AB in Vilnius, Lithuania, as part of my MSCA secondment with the Corporate AI Scaling Strategy team. This placement is a core part of my doctoral research under the EU-funded DIGITAL Industrial Doctoral Network, where I am developing a proof-of-concept XAI interface designed to make AI explanations accessible and actionable for non-technical users in financial services. Working alongside Swedbank's AI team, I am translating insights from over 25 interviews with finance professionals, AI vendors, and central bankers — as well as large-scale public survey data — into a role-adaptive prototype that delivers plain-language, audience-dependent explanations of AI-driven financial decisions. The secondment runs through Q3 2026 and feeds directly into my dissertation chapters on explanation preferences and trustworthy AI design.

I served as Research Assistant at the Ateneo School of Government contributing to the Business and Government portfolio. I co-authored three economics working papers, developed case study criteria and focus group discussion questions, constructed methodological frameworks, verified empirical models, applied for ethics clearances, submitted funder progress reports, and mentored a research intern in literature reviews and exploratory data analysis. 

I contributed to the following working papers during my tenure:

• Land Value Capture for Transportation Projects: A Case Study of the MRT-3 Project in Metro Manila

• Building Data-driven Customs Governance Tools: A Discussion on Methodological Framework

• Marginal Propensity to Import as a Forecaster