Statistical Methods and Inference

57 faculty research Statistical Methods and Inference on GradNova.

Guangyu Zhu

Associate Professor | Director of Undergraduate Studies

Computer Science

University of Rhode Island

Statistics

Statistical Methods and Inference

Gene Expression and Cancer Classification

Bioinformatics and Genomic Networks

Jungjun Choi

Assistant Professor

Computer Science

University of Rhode Island

Causal Inference

High-Dimensional Statistics

Machine Learning in Social Science

Statistical Methods and Inference

Haihan (Mark) Yu

Assistant Professor | Director of Undergraduate Studies

Computer Science

University of Rhode Island

Dependent Data

Model Assessment

Resampling Methods

Statistical Methods and Inference

Jing Wu

Associate Professor | Director of Graduate Studies

Computer Science

University of Rhode Island

Bayesian Statistical Methods

Data Mining

Missing Data Analysis (mcem and Bayesian)

Survival Data Analysis

Dominic Liao-McPherson

Department of Mechanical Engineering

University of British Columbia

Additive Manufacturing

Aerospace

Algorithmic Game Theory

Autonomous Vehicles

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Boris Landa

Assistant Professor

Electrical & Computer Engineering

Yale University

Gene Expression and Cancer Classification

Random Matrices and Applications

Single-Cell and Spatial Transcriptomics

Sparse and Compressive Sensing Techniques

Ming Jin

Power

Bradley Department of Electrical and Computer Engineering

Virginia Tech

Power

Software and Machine Intelligence

Topic Modeling

Statistical Methods and Inference

Murat Erdogdu

Associate Professor

Computer Science

University of Toronto

Graphical Models

Machine Learning

Machine Learning Theory

Optimization Algorithms

Matteo Sesia

Associate Professor of Data Sciences and Operations and Computer Science

Computer Science

University of Southern California

Gene Expression and Cancer Classification

Genetic and Phenotypic Traits in Livestock

Genetic Associations and Epidemiology

Genetic Mapping and Diversity in Plants and Animals

Weijie Su

Professor Statistics and Data Science Primary Computer and Information Science

Computer Science

University of Pennsylvania

Natural Language Processing Techniques

Privacy-Preserving Technologies in Data

Statistical Methods and Inference

Stochastic Gradient Optimization Techniques

Damir Pulatov

Assistant Professor

Computer Science

University of North Carolina Wilmington

Applied Machine Learning

Automated Machine Learning

Data Structures

Machine Learning

Shubhanshu Shekhar

Assistant Professor, EECS – Electrical and Computer Engineering

Department of Electrical and Computer Engineering

University of Michigan

Machine Learning

Statistics.

Machine Learning and Algorithms

Advanced Bandit Algorithms Research

Clayton D Scott

Professor, EECS – Electrical and Computer Engineering; Professor (courtesy), Statistics

Department of Electrical and Computer Engineering

University of Michigan

Machine Learning Theory, Methods, and Applications

Machine Learning Theory, Methods, and Applications.

Machine Learning and Algorithms

Machine Learning and Data Classification

Samet Oymak

Associate Professor, EECS – Electrical and Computer Engineering

Department of Electrical and Computer Engineering

University of Michigan

Principled Methods and Theories for Data Science and Machine Learning to Enable Resource Efficiency and Trustworthy Decision-Making

Sparse and Compressive Sensing Techniques

Stochastic Gradient Optimization Techniques

Domain Adaptation and Few-Shot Learning

George Bissias

Research Assistant Professor

Computer Science

University of Massachusetts Amherst

Security and Privacy

Statistical Methods and Inference

Privacy, Security, and Data Protection

Random Matrices and Applications

Sihai Dave Zhao

Associate Professor

Computer Science

University of Illinois Urbana-Champaign

Bioinformatics and Genomic Networks

Gene Expression and Cancer Classification

Genetic Associations and Epidemiology

Statistical Methods and Inference

Stephen R Becker

Associate Professor

Department of Electrical, Computer and Energy Engineering

University of Colorado Boulder

Advanced Optimization Algorithms Research

Sparse and Compressive Sensing Techniques

Statistical Methods and Inference

Stochastic Gradient Optimization Techniques

Rebecca Willett

Worah Family Professor in the Wallman Society of Fellows, Computer Science, Statistics, and the College

Computer Science

University of Chicago

Image and Signal Denoising Methods

Medical Imaging Techniques and Applications

Photoacoustic and Ultrasonic Imaging

Sparse and Compressive Sensing Techniques

Toby Dylan Hocking

Professeur agrégé

Computer Science

Université de Sherbrooke

Gene Expression and Cancer Classification

Genomics and Chromatin Dynamics

Neuroblastoma Research and Treatments

Soil Carbon and Nitrogen Dynamics

Constantine Caramanis

Professor

Department of Electrical and Computer Engineering

The University of Texas at Austin

Advanced MIMO Systems Optimization

Advanced Wireless Network Optimization

Machine Learning and Algorithms

Sparse and Compressive Sensing Techniques

Sujay Sanghavi

Professor, Bettie Margaret Smith Professor of Engineering

Department of Electrical and Computer Engineering

The University of Texas at Austin

Machine Learning and Algorithms

Optimization and Search Problems

Sparse and Compressive Sensing Techniques

Statistical Methods and Inference

Dr. Anas Abdallah

Computer Science

McMaster University

Development of Stochastic and Statistical Models for Property & Casualty Insurance, With Emphasis on Dependence Structures, Loss Reserving, Catastrophe Risk, and Use of Machine Learning Techniques for Predictive Analytics and Risk Management

Probability and Risk Models

Insurance, Mortality, Demography, Risk Management

Insurance and Financial Risk Management

Morteza Naraghi-Pour

Michel B. Voorhies Distinguished Professor

Division of Electrical and Computer Engineering

Louisiana State University

Communication Theory

Machine Learning

Signal and Image Processing

Telecommunication Networks

Yuhan Ding

Associate Teaching Professor of Applied Mathematics; Program Director, Master of Data Science

Computer Science

Illinois Institute of Technology

Advanced Optimization Algorithms Research

Mathematical Approximation and Integration

Numerical Methods and Algorithms

Reservoir Engineering and Simulation Methods

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