Arnab Auddy

Morgane Austern

“I am a mathematician focused on probability and statistics problems motivated by machine learning. Currently, I am a postdoctoral researcher at Microsoft Research New England. I graduated with a PhD in statistics from Columbia University in 2019, where I worked in collaboration with Peter Orbanz and Arian Maleki on limit theorems for dependent and structured data.”

Benjamin Bloem-Reddy

"I work on problems in statistics and machine learning, with an emphasis on probabilistic approaches. Some recent examples:

• Meaningful calibration of uncertainty in neural network models of conditional distributions and stochastic processes.
• Uses and benefits of symmetry in statistics, computation, and machine learning.
• Models and inference methods (SMC, MCMC) for evolving processes (e.g., networks) whose history is unobserved.

I also collaborate with researchers in the sciences on statistical problems arising in their research."

Ashley Datta

Adji Bousso Dieng

Career Highlights:

• Generative modeling branch of machine learning expert
• The first Black female faculty member in the history of SEAS and the first Black faculty member ever in the Department of Computer Science (COS) at Princeton University
• AI Researcher at Google Brain

Christopher Dolan

Georgios Fellouris

Research Interests:

Sequential hypothesis testing; Quickest change detection; Sequential parameter estimation; Sequential design.
Decision-making under communication constraints.
Educational measurement and cognitive assessment.

Promit Ghosal

Kristen L. Gore

Statistician and certified six sigma black belt with teaching experience in industry and academia. Passionate advocate for STEM outreach & diversity and inclusion.

Xiaoou Li

Tyler H. McCormick

Career Highlights:

• 2019 recipient of the NIH Director’s New Innovator Award
• NIH K01 Career Development Award
• US Army Young Investigator Program Award
• Google Faculty Award

Gonzalo Esteban Mena

"I develop robust, efficient, and theoretically sound statistical methodology for tackling life sciences problems involving data. My experience is mostly in neuroscience and digital epidemiology, but I am also open to other problems. I am also very interested in computational statistics and machine learning per se, regardless of possible applications. In that sense, I have some experience in the computational and statistical aspects of optimal transport, and I am actively doing research in this area."

Radka Hakl Picková

Research focus: Stochastic Analysis and Mathematical Finance

Phyllis Wan

My research interest lies in the study of complex data structures, such as networks and time series. I am especially interested in scenarios where heavy-tailed observations are present and where novel statistical tools are called for!

Gongjun Xu

Research Interests:

• Latent variable models, psychometrics

• Statistical learning and inference, high-dimensional statistics

• Semiparametric models, survival analysis