Italy
First-year student in the Bocconi–HEC Double Degree program, with internship experience spanning law, finance, and marketing. Having lived and worked across different countries, I bring a diverse international background, adaptability, and strong cross-cultural communication skills. Recognized in global essay and mathematics competitions, I combine analytical rigor with a global mindset and am eager to grow through opportunities in consultancy, finance, and strategy.
As a researcher in the Analysis Division at BAINSA, I investigate mechanistic interpretability of large language models, focusing on how internal representations encode information. Current work applies Global Sensitivity Analysis via Optimal Transport to quantify feature importance across neural network components, with findings presented to an interdisciplinary audience. Additionally exploring the interpretability of local AI models through hands-on reverse engineering of their internal architectures.
Researcher in the Research Division, proposed and designed the methodology for a novel diagnostic framework for instrument adequacy in DeepIV models. Developed a two-dimensional testing framework combining optimal transport-based relevance measurement with bootstrap stability diagnostics — addressing an eight-year gap in the nonparametric instrumental variable literature. Currently leading the theoretical development toward a working paper targeting publication in a peer-reviewed journal.
Led end-to-end recruitment processes including candidate interviews and competency-based evaluation. Automated email collection and applicant summarization pipelines to streamline hiring workflows. Designed original case studies with embedded assessment criteria to evaluate candidates across targeted dimensions. Developed structured screening frameworks to improve hiring precision and consistency.
At Functions Strategy, I support early-stage strategy projects by translating market and consumer data into client-ready outputs. Day-to-day, I build PowerPoint decks, estimate market sizing, and map competitive landscapes through blue vs. red ocean analysis. I also track where client demand is strongest across regions to help prioritize focus areas. I use Python and R to clean and structure data, and pick up whatever else needs doing across research and ops.
As a Team Advisor for the Wharton Global High School Investment Competition based in Bangkok Thailand, I mentor a student team in developing both data-driven and market analysis–based investment strategies. My work focuses on teaching quantitative methods such as factor modeling, regression analysis, and backtesting, while guiding the team in implementing quantitative models to improve portfolio performance. In parallel, I help them strengthen their fundamental and macroeconomic analysis skills to build well-supported investment theses. Through this role, I aim to integrate quantitative rigor with strategic market understanding, enabling the team to make informed and balanced investment decisions
As a Law Secretary at WeiHeng Legal and Accounting Co., Ltd. (Thailand, Bangkok), I was responsible for translating legal documents from English into Chinese to support Chinese clients working with Thai regulations. I also explained key aspects of Thai corporate law, including government tax incentives designed to attract foreign companies to invest and establish operations in Thailand. Beyond legal support, I contributed to the firm’s outreach by writing blog posts for Chinese social media, introducing Thailand’s economy and providing accessible explanations of legal concepts. This experience strengthened my bilingual communication skills and ability to connect legal frameworks with business considerations in an international context.