Research Assistant Professor

Computer and Information Science

Office: Amy Gutmann Hall, 313

Research Areas

  • Natural Language Processing
  • AI for Health

Awards

Projects/Papers

Exploring a Language-Based Interest Assessment: Predicting Vocational Interests on Social Media Using Natural Language Processing
Multiscale Encoder and Omni-Dimensional Dynamic Convolution Enrichment in nnU-Net for Brain Tumor Segmentation
Uncertainty-Aware Crime Prediction With Spatial Temporal Multivariate Graph Neural Networks

Students

PhDs:

Neil Sehgal (co-advised with Lyle Ungar)

Young Min Cho (co-advised with Lyle Ungar)