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Bayesian Modeling and Causal Inference Research Faculty | GradNova

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Bayesian Modeling and Causal Inference

Bayesian Modeling and Causal Inference

46 faculty research Bayesian Modeling and Causal Inference on GradNova.

N

Nicholas Mattei

Associate Professor

Computer Science

Tulane University

Auction Theory and Applications

Bayesian Modeling and Causal Inference

Ethics and Social Impacts of AI

Game Theory and Voting Systems

+1

M

Martine Ceberio

Professor

Computer Science

University of Texas - El Paso

Bayesian Modeling and Causal Inference

Computability, Logic, AI Algorithms

Cryptography and Data Security

Fault Detection and Control Systems

+1

J

Computer Science

University of Texas at Arlington

Bayesian Modeling and Causal Inference

Bioinformatics and Genomic Networks

Gene Regulatory Network Analysis

S

Samantha Kleinberg

Professor and Farber Chair Professor

Computer Science

Stevens Institute of Technology

Bayesian Modeling and Causal Inference

Diabetes Management and Research

Machine Learning in Healthcare

Nutritional Studies and Diet

+1

L

Information Professor

Computer Science

Rutgers University

Auction Theory and Applications

Bayesian Modeling and Causal Inference

Game Theory and Voting Systems

Internet Traffic Analysis and Secure E-Voting

+1

D

Assistant Professor

Computer Science and Engineering

Pennsylvania State University

Bayesian Modeling and Causal Inference

Graph Theory and Algorithms

Machine Learning and Algorithms

S

Sandhya Saisubramanian

Assistant Professor

Electrical Engineering and Computer Science

Oregon State University

Artificial Intelligence and Robotics

Data Science and Engineering

Reinforcement Learning in Robotics

AI-Based Problem Solving and Planning

+3

T

Thomas G. Dietterich

Distinguished Professor Emeritus

Electrical Engineering and Computer Science

Oregon State University

Artificial Intelligence and Robotics

Data Science and Engineering

Machine Learning and Data Classification

Machine Learning and Algorithms

+3

L

Professor, Computer Science

Computer Science

Michigan Technological University

Applications of AI and ML to Energy (microgrids, Power Systems), Health, and Other Domains

Artificial Intelligence and Machine Learning

Data Mining and Data Science

Bayesian Modeling and Causal Inference

+4

I

John C. Malone Associate Professor

Computer Science

Johns Hopkins University

Algorithmic Fairness

Applications in Health Care and Public Health

Causal Inference and Missing Data

+7

Y

Assistant Professor

Computer Science

Iowa State University

Bayesian Modeling and Causal Inference

Cryptography and Data Security

Data Management and Algorithms

Extraction and Separation Processes

+1

K

Kuldeep S. Meel

Stephen Fleming Early-Career Associate Professor

College of Computing

Georgia Institute of Technology

Advanced Database Systems and Queries

Bayesian Modeling and Causal Inference

Data Management and Algorithms

Time Series Analysis and Forecasting

+1

X

Kevin J. Kranzusch Assistant Professor I, Department of Computer and Data Sciences

Computer Science

Case Western Reserve University

Algal Biology and Biofuel Production

Cervical Cancer and HPV Research

Endometrial and Cervical Cancer Treatments

Marine and Coastal Ecosystems

+6

F

Assistant Professor

Computer Science

Carnegie Mellon University

Advanced Database Systems and Queries

Bayesian Methods and Mixture Models

Bayesian Modeling and Causal Inference

Data Management and Algorithms

+1

G

Geoffrey J Gordon

Professor

Computer Science

Carnegie Mellon University

AI-Based Problem Solving and Planning

Bayesian Modeling and Causal Inference

Control Systems and Identification

Machine Learning and Algorithms

+1

D

Dimitrios S Apostolopoulos

Principal Systems Scientist

Computer Science

Carnegie Mellon University

AI-Based Problem Solving and Planning

Astro and Planetary Science

Bayesian Modeling and Causal Inference

Robotic Mechanisms and Dynamics

+1

K

Professor

Computer Science

Carnegie Mellon University

Advanced Causal Inference Techniques

Bayesian Modeling and Causal Inference

Statistical Methods and Inference

L

Larry A Wasserman

Professor

Computer Science

Carnegie Mellon University

Advanced Causal Inference Techniques

Bayesian Modeling and Causal Inference

Statistical Methods and Inference

D

Associate Professor

Computer Science

Brigham Young University

Diet and Metabolism Studies

Gastroesophageal Reflux and Treatments

Gastrointestinal Motility and Disorders

Helicobacter Pylori-Related Gastroenterology Studies

+6

E

Assistant Professor

Computer Science

Binghamton University

Program Analysis

Programming Languages and Runtimes

Bayesian Modeling and Causal Inference

+4

H

Lecturer

Computer Science

Auburn University

Adversarial Robustness in Machine Learning

Bayesian Modeling and Causal Inference

Explainable Artificial Intelligence (xai)

K

K. Selcuk Candan

Professor and Director of CASCADE

Computer Science and Engineering

Arizona State University

Data Integration & Information Fusion

Database/query Processing & Indexing Techniques

Heterogeneous & Imprecise (uncertain/fuzzy) Data Management and Analysis

Multimedia Data Management & Retrieval

+4