Ping He is an AI/ML Engineer at Pangea working on mathematical representations and embedding models for high-dimensional data. Her work focuses on developing machine learning systems that identify complex relationships in large and heterogeneous datasets.
Ping is a PhD student in Computer Science whose research interests lie at the intersection of machine learning, statistical modeling, and high-dimensional data analysis. Her work focuses on developing mathematical and computational methods for learning meaningful structure from complex and heterogeneous datasets. She is particularly interested in representation learning, scalable machine learning algorithms, and the integration of statistical and machine learning techniques for analyzing large-scale data.
At Pangea, Ping contributes to the development of machine learning models and representation frameworks designed to capture relationships within high-dimensional data. Her work includes building embedding-based representations and data processing pipelines that enable advanced machine learning analysis of complex datasets, helping support the development of scalable AI systems that can learn patterns and relationships across diverse data environments.