I am a researcher in Human Resources, specializing in careers and networks. My research focuses on how workers use signals to convey their human and social capital, and how these signals influence career outcomes in workplaces and labor markets. My studies on human capital examine career transitions, questioning whether skills and signal-based mechanisms can diverge during these transitions. Additionally, my research on social capital challenges the content, context, and visibility of social capital, aiming to distinguish between the "pipes" and "prisms" mechanisms. To address these questions, I apply a variety of computational methods, including network analysis, natural language processing, and machine learning, drawing on diverse data sources. My research output includes a forthcoming publication in Personnel Psychology.

• Research Topics: Careers, Networks, Signaling, Screening, Evaluation, Trust, Reputation

I am interested in teaching Strategic Human Resource Management, with a focus on specific topics related to my research, such as Digital Transformation and Social Capital in the workplace. I am also enthusiastic about teaching Social Network Theory and Analysis, offering both theoretical insights and practical skill development by incorporating tools such as R and Python for network analysis.

Outside of academia, I enjoy hosting friends at my home and cooking Korean dishes for my guests. I am also a cat lover and a fan of Paul Thomas Anderson films.

I will be on the academic job market in fall 2025.