ABOUT ME

I am a fifth-year PhD candidate in Information Systems at Boston University Questrom School of Business (expected 2026) and am affiliated with the Digital Business Institute at Questrom. I am advised by Professor Dokyun Lee and am a member of the BIT Lab.

I am on the 2025-2026 job market.

My academic objectives are driven by a fundamental question: how are human and artificial intelligence (AI) co-evolving?

I study how generative AI can augment human capabilities, focusing on creativity - a uniquely human form of intelligence that underpins important economic activities like innovation and analytical problem-solving. For the human experience, it embodies expression and self-actualization. My interest in this area was sparked through conversations with friends working in creative fields.

My primary research themes are:

Societal consequences of generative AI
Human creativity and creative markets in response to AI

My research will further extend to:

Data governance & AI policy
Design and analysis of human-AI collaborative systems

I combine theoretical and philosophical perspectives on human creativity with causal inference and advanced empirical tools, such as Deep Learning, Large Language Models (LLMs), and multimodal feature extraction, to examine the impacts of AI on human creativity and creative markets.

I hold a Bachelor's degree from Washington University in St. Louis (2018), a Master's of Business Administration from Carnegie Mellon Tepper School of Business (2021), and a Master's of Science in Business Administration from Washington University in St. Louis (2023). Prior to my PhD studies, I worked as a marketing consultant for a large market research firm and as a Machine Learning contractor for a non-profit organization.