Resume
Background
- Principal investigator of the LUPA Lab, focused on machine learning and artificial intelligence
- Aims to understand the fundamental nature of data through holistic and aggregate-level analysis
- Employs modern deep learning architectures and nonparametric statistical methods
- Research areas include high-dimensional density estimation, sequential modeling with RNNs, and learning over complex or structured data
- Develops collective approaches (e.g., using sets and distributions) to bridge machine and human learning
- Prefers simple, assumption-light estimators that are flexible, powerful, and generalize well
- Applications span health/medicine, science, business, earth/climate, and computer vision