Kayla Huang

Kayla Huang is a Research Fellow at the Kempner Institute for the study of natural and artificial intelligence at Harvard University. She is currently involved in a project focused on enhancing the natural language capabilities of artificial intelligence through hybrid models, specifically using Mixture of Experts (MoE) and Gaussian State Space Models (GSSM) under the mentorship of David Brandfonbrener.13

Academic Background

Kayla is a senior at Harvard College, where she studies Computer Science and Government. Her academic pursuits reflect a strong interest in the intersections of technology, policy, and artificial intelligence.24

Research Interests

At the Kempner Institute, Kayla participates in the KRANIUM program, which aims to provide undergraduates with substantial research experiences in artificial and natural intelligence. Her project involves exploring advanced methodologies to improve AI's understanding and generation of natural language.13

Additional Roles

Beyond her research at Kempner, Kayla has been active in various organizations. She has served as Chief Executive Officer for the Harvard Undergraduate Data Analytics Group, where she has likely been involved in initiatives that bridge data science with practical applications.5

Online Presence

Kayla Huang is also active on LinkedIn under the username klhuang3, where she shares updates about her research and professional activities.46