13 People Results for the Tag: Deep Learning

All A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

David Hughes

Huck Chair in Global Food Security; Professor of Entomology and Biology
Parasite manipulation of host behavior

Center for Infectious Disease Dynamics

Ephraim M. Hanks

Associate Professor of Statistics
Spatio-Temporal Statistics. Bayesian Hierarchical Modeling. Optimal Sampling. Animal Movement. Landscape Genetics.

Center for Infectious Disease Dynamics

Dajiang Liu

Associate Professor of Public Health Science
Developing novel methods to analyze very large scale datasets in order to identify genes that are responsible for disease, understand the disease mechanism, and gain clinical insights.

Yanxi Liu

Associate Professor of Computational Science and Engineering

Keith Cheng

Distinguished Professor of Pathology and Laboratory Medicine, of Biochemistry and Molecular Biology, and of Pharmacology
Computational phenomics, image informatics, and "Geometry of Life" based on x-ray histotomography, population, genomic, and functional genomic analyses of complex traits in human and zebrafish; web-based science resources.

Joan Richtsmeier

Professsor of Anthropology
Analysis of craniofacial phenotypes.

James Wang

Professor of Information Science and Technology
Modeling of objects, concepts, aesthetics, and emotions in big visual data from various domains.

Yifei Huang

Assistant Professor of Biology
Developing novel bioinformatic methods and using them to address fundamental questions in evolutionary genomics and medical genomics.

Xiang Zhang

Associate Professor of Information Sciences and Technology

Amulya Yadav

Assistant Professor of Information Sciences and Technology
Artificial Intelligence for Social Good, focused on developing theoretically grounded approaches that can positively impact real-world problems, particularly in the fields of public health and wildlife protection.