We are an NCSU-based statistics lab focused on research, outreach, and the effectiveness of caffeine as a creative fuel
Principal Investigator
James B. Duke Distinguished Professor
Statistical Science and Biostatistics and Bioinformatics
Duke University 2021 – Present
Research interests:
Topological data analysis and random topological spaces
Current projects:
Counting Morse functions up to persistence and investigating cohomology operations on random spaces
Research interests:
Reinforcement learning and optimal treatment allocation
Current projects:
Optimal experimental design for spatio-temporal decision problems
Research interests:
Reinforcement learning and artificial intelligence
Current projects:
Spatio-temporal decision problems and model-based exploration tuning
Research interests:
Predictive modeling and variable selection
Current projects:
Exploring similarities between stochastic gradient descent methods and classical regularization methods
Research interests:
Reinforcement learning and interpretable models
Current projects:
Adversarial decision making in games with imperfect information
Research interests:
Reinforcement learning, interpretable policy, and off policy evaluation
Current projects:
Inference of decision list and parameterized exploration
Research interests:
Optimal treatment regimes on networks, automation, and mobile health
Current projects:
Detecting influence on social media, AWS DeepRacer, and network model estimation
Research interests:
Dynamic treatment regimes, experimental design, and reinforcement learning
Current projects:
Dynamic treatment regimes with multi-component treatments and optimal exploration and patient horizon
Research interests:
Reinforcement learning, statistical learning, and agent-based modeling
Current projects:
Efficient policy estimation of multi-agent reinforcement learning
Research interests:
Causal inference and reinforcement learning
Current projects:
High-dimensional precision medicine from patient-derived xenografts
Research interests:
Sports analytics and reinforcement learning
Current projects:
Madden decision making and working for the LA Dodgers
Research interests:
Reinforcement learning and deep learning
Current projects:
AWS DeepRacer
Research interests:
Computational statistics and machine learning
Current projects:
Functional Q-learning
Research interests:
Hidden Markov models and partially-observable Markov decision process
Current projects:
Partially-observable Markov decision process for dynamic treatment regimes
Research interests:
Posterior sampling in reinforcement learning and multi-agent reinforcement learning
Current projects:
Convergence rates of posterior distribution in Markov decision process and Thompson sampling for pursuit-evasion problems
Research interests:
Sports analytics, randomization in clinical trial design, and computer vision
Current projects:
Reinforcement learning in personalized trials, small object detection in sports, and constrained optimizations
Research interests:
Sports analytics, computer vision, and reinforcement learning
Current projects:
Reinforcement learning in personalized medicine/education and object detection in sports
Research interests:
Reinforcement learning, data analysis, clustering, and feature creation/selection
Current projects:
CNEC research on multi-agent learning and Doran's Lab
Research interests:
Causal inference, dynamic treatment regimes, and statistical learning
Current projects:
Adaptive randomization in dynamic treatment regimes
Research interests:
Machine learning, optimization, and data analysis
Current projects:
Legendre-Fenchel transformations in statistical optimization problems
Research interests:
Reinforcement learning and game theory
Current projects:
Reinforcement learning for video games and card games
Research interests:
Reinforcement learning, language modeling, deep learning, and statistical learning applied to urban policy and public health
Current projects:
Curiosity driven learning for first player games and spatio-temporal decision problems
Research interests:
Traffic modeling/analysis and reinforcement learning
Current projects:
Times series forecasting through reinforcement learning
Research interests:
Sports analytics
Current projects:
Object detection in sports
Current projects:
UI/UX for Hedra app, statistician playing cards, and Shapes in Capes
Current projects:
2-Min Stats and Statistics Boardwalk: Vincent Price Presents...
Current projects:
Mount Boredoom
Current projects:
2-Min Stats and Statistics Boardwalk: Vincent Price Presents...
Current projects:
Giant quincunx and Statistics Boardwalk: Vincent Price Presents...
Current projects:
Music and sound for 2-Min Stats