Photo Name Thesis Title
Ankur Parikh, PhD Spectral Probabilistic Modeling and Applications to Natural
Language Processing
Bin Zhao, PhD Towards Scalable Analysis of Images and Videos
Qirong Ho, PhD Modeling Large Social Networks in Context
Honorable mention in the ACM SIGKDD Doctoral Dissertation
Mladen Kolar, PhD Uncovering Structure in High-Dimensions: Networks and Multi-task Learning Problems
Honorable mention in the ACM SIGKDD Doctoral Dissertation
Kriti Puniyani, PhD Spatiotemporal gene networks from ISH images
Gunhee Kim, PhD Reconstruction and Applications of Collective Storylines from Web Photo Collections
ACM SIGKDD Doctoral Dissertation Award
Andre Martins, PhD The Geometry of Constrained Structured Prediction: Applications to Inference and Learning of Natural Language Syntax
Honorable mention in the SCS Dissertation Award
Suyash Shringarpure, PhD Statistical Methods for studying Genetic Variation in Populations
Kyung-Ah Sohn, PhD Learning Ancestral Genetic Processes using Nonparametric Bayesian Models
Ross Curtis, PhD Using Visualization and Automation to Accelerate Genetics Discovery
Amr Ahmed, PhD Modeling Content and Users: Structured Probabilistic Representation and Scalable Online Inference Algorithms
ACM SIGKDD Doctoral Dissertation Award
Hetunandan K, PhD Structured Probabilistic Models of Proteins across Spatial and Fitness Landscapes
Honorable mention in the SCS Dissertation Award
Pradipta Ray, PhD Computational Methods for Analyzing the Architecture and Evolution of the Regulatory Genome
Steve Hanneke, PhD Theoretical Foundations of Active Learning
Edo Airoldi, PhD Bayesian Mixed-Membership Models of Complex and Evolving Networks
Bing Zhao, PhD Statistical Alignment Models for Translational Equivalence