Jonathan Auerbach

Milad Bakhshizadeh

"I am a postdoctoral researcher at Stanford University. I received my PhD in Statistics from Columbia University (2021). I received my B.S.(2012) and M.S.(2014) in pure Mathematics from Sharif University of Technology. Please take a look at Bio page for more information."

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

Rishabh Dudeja

Promit Ghosal

Alessandro Grande

David A. Hirshberg

I am an Assistant Professor in Emory’s Quantitative Theory & Methods Department. I work on methods for estimating causal effects from observational studies and experiments and sometimes on the R packages synthdid and grf.

Before coming to Emory, I did a PhD at Columbia with Arian Maleki and José Zubizarreta and a postdoc at Stanford with Susan Athey, Guido Imbens, and Stefan Wager. Years ago, I was a computer vision researcher in Michael Black’s group at Brown and MPI Tübingen.

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."

Leo Neufcourt

Radka Hakl Picková

Research focus: Stochastic Analysis and Mathematical Finance

Johannes Ruf

Career Highlights

• First Annual Morgan Stanley Prize for Excellence in Financial Markets (dissertation prize)
• Bruti-Liberati Fellowship: For visiting the Economics and Finance Department of the University of Technology, Sydney, and for giving the Bruti-Liberati Lecture at the QMF Conference (December 2013).
• Senior Research Fellow, Oxford-Man Institute, University of Oxford, 2011-2014
• PhD at Columbia Statistics = Learning insights in Statistics and Probability from an excellent, very motivated faculty and from fellow students, making friends for life and experiencing NYC.

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!

Yixin Wang

Haolei Weng

Yuling Yao

"My general research interest lies in Bayesian computation, Bayesian modeling, machine learning, and causal inference.

Before Flatiron, I earned my PhD in Statistics from Columbia University in 2021 under the supervision of Andrew Gelman. Before that, I obtained my undergraduate education from Tsinghua University in Mathematics and in Economics.

My ultimate goal is to develop a scalable Bayesian workflow for open-ended real-data problems. For example, some recent applications included lead fallout in Paris, arsenic diffusion in groundwater, and Covid-19 mortality in Bangladesh."