Michael Newton Website Research interests Dr. Newton does research in data science for basic and translational biomedicine. His contributions span applications in cancer biology, immunology, genomics, methodologies for high-dimensional biostatistical inference, and theory for computational statistics. Dr. Newton leads an inclusive and cutting-edge research group, with Ph.D. graduates now in leading positions in academia and …
Biography Website Research interests My research is at the intersection of numerical optimization and statistical estimation with applications to dynamical systems. On the one hand, I interpret this as using numerical optimization ideas to design statistical estimators that are practically computable, yet still retain certain desirable statistical properties. On the other hand, I interpret this …
Research interests Machine learning and high dimensional applications, Bayes theory and methods in high dimensions, Approximate Bayesian methods, high dimensional network analysis, Bayesian graphical models, efficient Bayesian computation, electronic health record data, hierarchical modeling of complex shapes, point pattern data modeling, real-time tracking algorithms, and fair algorithms.
Biography Alejandra joined UW–Madison in 2022 as an Assistant Professor and Nellie McKay Fellow. From 2023 to 2025, she was also a Visiting Professor at UNAM’s Instituto de Matemáticas. She earned her Ph.D. in Statistics from Columbia University under the direction of Professor Philip Protter. During her doctoral studies, she held a Fulbright grant, received …
Research interests Optimization theory, information theory and theoretical statistics to study computational and statistical aspects of large-scale inference problems.
Karl Rohe Website Biography I create tools and theory to analyze large social graphs. My research focuses on ways of sampling and factoring data. I like things that work and I want to understand why. If we cross paths soon, let’s talk about graphs or twitter or #blacklivesmatter or eigenvectors or reproducibility or public opinion …
Research interests My group develops statistical tools for exploring latent variation in microbiological and earth systems data. We focus on datasets drawn from multiple sources and interesting at multiple scales. More details can be found on our lab site
Research interests Inference, asymptotic theory, resampling methods, linear and nonlinear models, model selection, sample survey
Research interests My research develops statistical methods for trustworthy and efficient AI, with a focus on uncertainty quantification, conformal prediction, deep probabilistic modeling, and generative models.