Doctoral Alumni

Doctoral Alumni in Academic Placements

A B C D E F G H J K L M N O P Q R S T U V W X Y Z
Postdoctoral Researcher, University of Pennsylvania

Arnab Auddy

Postdoctoral Researcher, University of Pennsylvania

Doctoral Alumni, Doctoral Alumni in Academic Placements
https://arnab-auddy.github.io/
PhD in Statistics 2023
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Ashley Datta

Visiting Lecturer

Email: pd2511@columbia.edu
Doctoral Alumni, Doctoral Alumni in Academic Placements
Year Entered Ph.D. Program: Fall 2016
PhD in Statistics 2023
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Post Doctoral Research Scientist, Department of Statistics, Columbia University

Alessandro Grande

Post Doctoral Research Scientist, Department of Statistics, Columbia University

Email: ag3750@columbia.edu
Doctoral Alumni, Doctoral Alumni in Academic Placements
Year Entered Ph.D. Program: Fall 2016
PhD in Statistics 2023
https://www.alessandrogrande.com/
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Assistant Professor of Econometrics and Statistics, University of Chicago’s Booth School of Business

Nabaran Deb

Assistant Professor of Econometrics and Statistics, University of Chicago’s Booth School of Business

Doctoral Alumni, Doctoral Alumni in Academic Placements
https://nabarund.github.io/
PhD in Statistics 2022
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Assistant Professor, University of Wisconsin-Madison

Alejandra Quintos Lima

Assistant Professor, University of Wisconsin-Madison

Doctoral Alumni, Doctoral Alumni in Academic Placements
https://alejandraquintos.com/
PhD in Statistics 2022
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Postdoctoral Researcher, Stanford University

Milad Bakhshizadeh

Postdoctoral Researcher, Stanford University

Doctoral Alumni, Doctoral Alumni in Academic Placements
PhD in Statistics 2021
Website

"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."


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Assistant Professor, University of Wisconsin-Madison

Rishabh Dudeja

Assistant Professor, University of Wisconsin-Madison

Doctoral Alumni, Doctoral Alumni in Academic Placements
https://stat.wisc.edu/staff/dudeja-rishabh/
PhD in Statistics 2021
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Flatiron Research Fellow at Flatiron Institute, Center for Computational Mathematics

Yuling Yao

Flatiron Research Fellow at Flatiron Institute, Center for Computational Mathematics

Doctoral Alumni, Doctoral Alumni in Academic Placements
PhD in Statistics 2021
Website

"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."


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Assistant Professor, School of Engineering and Applied Science, Princeton University

Adji Bousso Dieng

Assistant Professor, School of Engineering and Applied Science, Princeton University

Doctoral Alumni, Doctoral Alumni in Academic Placements
https://www.cs.princeton.edu/people/profile/ad6725
PhD in Statistics 2020

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

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Assistant Professor, Brandeis University

Promit Ghosal

Assistant Professor, Brandeis University

Doctoral Alumni, Doctoral Alumni in Academic Placements
Website
PhD in Statistics 2020
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Assistant Professor, Department of Mathematics and Statistics, Queen’s University

Hok Kan (Brian) Ling

Assistant Professor, Department of Mathematics and Statistics, Queen’s University

Doctoral Alumni, Doctoral Alumni in Academic Placements
PhD in Statistics 2020
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Assistant Prof. of Statistics at the University of Michigan and Faculty Affiliate of the Michigan Institute for Data Science

Yixin Wang

Assistant Prof. of Statistics at the University of Michigan and Faculty Affiliate of the Michigan Institute for Data Science

Doctoral Alumni, Doctoral Alumni in Academic Placements
https://yixinwang.github.io/
PhD in Statistics 2020
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Assistant Professor, Statistics, George Mason University

Jonathan Auerbach

Assistant Professor, Statistics, George Mason University

Doctoral Alumni, Doctoral Alumni in Academic Placements
Website
PhD in Statistics 2019
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Assistant Professor in the Department of Statistics, Harvard University

Morgane Austern

Assistant Professor in the Department of Statistics, Harvard University

Doctoral Alumni, Doctoral Alumni in Academic Placements
https://sites.google.com/view/morganeaustern/home?pli=1&authuser=1
PhD in Statistics 2019

“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.”


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Senior Lecturer, Department of Industrial Engineering & Operations Research in Columbia Engineering, Columbia University

Christopher Dolan

Senior Lecturer, Department of Industrial Engineering & Operations Research in Columbia Engineering, Columbia University

Doctoral Alumni, Doctoral Alumni in Academic Placements
PhD in Statistics 2018
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Assistant Professor in Quantitative Theory & Methods Department, Emory University

David A. Hirshberg

Assistant Professor in Quantitative Theory & Methods Department, Emory University

Doctoral Alumni, Doctoral Alumni in Academic Placements
PhD in Statistics 2018
Website

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 AtheyGuido Imbens, and Stefan Wager. Years ago, I was a computer vision researcher in Michael Black’s group at Brown and MPI Tübingen.


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Assistant Professor in Statistics and Data Science, Carnegie Mellon University 

Gonzalo Esteban Mena

Assistant Professor in Statistics and Data Science, Carnegie Mellon University 

Doctoral Alumni, Doctoral Alumni in Academic Placements
https://gomena.github.io/
PhD in Statistics 2018

"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."


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Quantitative researcher in applied statistics and ML at Ecole polytechnique

Leo Neufcourt

Quantitative researcher in applied statistics and ML at Ecole polytechnique

Doctoral Alumni, Doctoral Alumni in Academic Placements
PhD in Statistics 2018
https://lneufcourt.github.io/
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CEO at SwingVision and Lecturer at UC Berkeley

Swupnil Sahai

CEO at SwingVision and Lecturer at UC Berkeley

Doctoral Alumni, Doctoral Alumni in Academic Placements, Doctoral Alumni in Industry Placements
PhD in Statistics 2018
Website

“I’m Swupnil, the Co-Founder and CEO of SwingVision, a professional-grade mobile AI platform for amateur athletes, angel-backed by Andy Roddick.

I’m also a Co-Instructor for Data 8: Foundations of Data Science, the fastest-growing class at UC Berkeley, with 1,300+ students from across 40+ majors.

Previously, I built patent-pending AI for 3D object tracking at Tesla Autopilot.”


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Assistant Professor at the Department of Econometrics, Erasmus University Rotterdam

Phyllis Wan

Assistant Professor at the Department of Econometrics, Erasmus University Rotterdam

Doctoral Alumni, Doctoral Alumni in Academic Placements
Website
PhD in Statistics 2018

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!


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Assistant Professor of Statistics, University of British Columbia

Benjamin Bloem-Reddy

Assistant Professor of Statistics, University of British Columbia

Doctoral Alumni, Doctoral Alumni in Academic Placements
Website
PhD in Statistics 2017

"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."


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Assistant Professor, Department of Statistics and Probability, Michigan State University

Haolei Weng

Assistant Professor, Department of Statistics and Probability, Michigan State University

Doctoral Alumni, Doctoral Alumni in Academic Placements
PhD in Statistics 2017
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Associate Professor, School of Statistics, University of Minnesota

Xiaoou Li

Associate Professor, School of Statistics, University of Minnesota

Doctoral Alumni, Doctoral Alumni in Academic Placements
PhD in Statistics 2016
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Assistant Professor in the Department of Statistics, University of Florida

Rohit Kumar Patra

Assistant Professor in the Department of Statistics, University of Florida

Doctoral Alumni, Doctoral Alumni in Academic Placements
PhD in Statistics 2016
Website

"My research centers around semiparametric/nonparametric methodology and large sample theory – efficient estimation in semiparametric models, nonparametric function estimation (with special emphasis on shape-constrained estimation), likelihood and bootstrap-based inference in (non-standard) parametric and nonparametric models. The research’s main motivation is to develop nonparametric procedures that are automated (free from tuning parameters) but still flexible enough to incorporate data-driven features.

My research has applications in broad areas such as genetics (multiple testing problems), economics (utility and production function estimation and binary response models), causal inference (conditional independence), and astronomy (analysis of accretion of galaxies), among other fields."


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Assistant Professor of Data Science at Willamette University/Certified Six Sigma Black Belt

Kristen L. Gore

Assistant Professor of Data Science at Willamette University/Certified Six Sigma Black Belt

Doctoral Alumni, Doctoral Alumni in Academic Placements
PhD in Statistics 2014
Website

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


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Lecturer and Researcher, Škoda Auto University

Radka Hakl Picková

Lecturer and Researcher, Škoda Auto University

Doctoral Alumni, Doctoral Alumni in Academic Placements
PhD in Statistics 2013
Website

Research focus: Stochastic Analysis and Mathematical Finance


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Associate Professor of Statistics, Associate Professor of Psychology, Director of Master’s Program University of Michigan

Gongjun Xu

Associate Professor of Statistics, Associate Professor of Psychology, Director of Master’s Program University of Michigan

Doctoral Alumni, Doctoral Alumni in Academic Placements
PhD in Statistics 2013
Website

Research Interests:

  • Latent variable models, psychometrics

  • Statistical learning and inference, high-dimensional statistics

  • Semiparametric models, survival analysis


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Associate Professor, Director, M.Sc. in Risk Management Science Programme, The Chinese University of Hong Kong

Tony Sit

Associate Professor, Director, M.Sc. in Risk Management Science Programme, The Chinese University of Hong Kong

Doctoral Alumni, Doctoral Alumni in Academic Placements
Website
PhD in Statistics 2012

Research Interests: Survival analysis; Quantile regression; Network modelling; Risk management


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Associate Professor of Statistics & Sociology, Senior Data Science Fellow, University of Washington

Tyler H. McCormick

Associate Professor of Statistics & Sociology, Senior Data Science Fellow, University of Washington

Doctoral Alumni, Doctoral Alumni in Academic Placements
PhD in Statistics 2011
Website

Career Highlights:


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Professor at the Department of Mathematics, London School of Economics

Johannes Ruf

Professor at the Department of Mathematics, London School of Economics

Doctoral Alumni, Doctoral Alumni in Academic Placements
PhD in Statistics 2011
Website

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.

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Associate Professor, Department of Statistics, University of Illinois at Urbana-Champaign

Georgios Fellouris

Associate Professor, Department of Statistics, University of Illinois at Urbana-Champaign

Doctoral Alumni, Doctoral Alumni in Academic Placements
Website
PhD in Statistics 2010

Research Interests:

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


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Doctoral Alumni in Industry Placements

A B C D E F G H J K L M N O P Q R S T U V W X Y Z
Quantitative Strategist, Morgan Stanley – New York

Nicholas R. Galbraith

Quantitative Strategist, Morgan Stanley – New York

Office: 1021 SSW
Email: nrg2136@columbia.edu
Doctoral Alumni, Doctoral Alumni in Industry Placements
Year Entered Ph.D. Program: Fall 2017
PhD in Statistics 2023
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Quantitative Researcher at Two Sigma Investments, LP

Yilin Guo

Quantitative Researcher at Two Sigma Investments, LP

Doctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2023
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Machine Learning Engineer, Adobe Inc.

Jialin Ouyang

Machine Learning Engineer, Adobe Inc.

Doctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2023
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Machine Learning Engineer at Pinterest

Jitong Qi

Machine Learning Engineer at Pinterest

Doctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2023
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Miguel Angel Garrido Garcia

Data Scientist @ YouTube (Google)

Doctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2021
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Zhi Wang

Citadel Securities

Doctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2021
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Quantitative Researcher at Two Sigma

Ding Zhou

Quantitative Researcher at Two Sigma

Doctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2021
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Guanhua Fang

Baidu Research

Doctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2020
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Quantitative Researcher @ Squarepoint Capital

Sihan Huang

Quantitative Researcher @ Squarepoint Capital

Doctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2020
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Wenda Zhou

Researcher at OpenAI

Doctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2020
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Senior Data Scientist at NBC Universal Media, LLC

Yayun (Lydia) Hsu

Senior Data Scientist at NBC Universal Media, LLC

Doctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2019
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Jin Hyung (Peter) Lee

Research Scientist at Meta

Doctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2019
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Gabriel Loazia-Ganem

AI Researcher at Layer 6 AI

Doctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2019
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Quantitative Researcher on Non-Compete

Florian Stebegg

Quantitative Researcher on Non-Compete

Doctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2019
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Quantitative Researcher at Point 72

Jing Wu

Quantitative Researcher at Point 72

Doctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2019
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Kashif Yousuf

Data Scientist at Google

Doctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2019
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Timothy Jones

Bank of America

Doctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2018
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Manager, Machine Learning at Upstart

Feihan Lu

Manager, Machine Learning at Upstart

Doctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2018
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Susanna Makela

Data Scientist at Google

Doctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2018
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Quantitative Strategist at Virtu Financial

Lisha Qiu

Quantitative Strategist at Virtu Financial

Doctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2018
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CEO at SwingVision and Lecturer at UC Berkeley

Swupnil Sahai

CEO at SwingVision and Lecturer at UC Berkeley

Doctoral Alumni, Doctoral Alumni in Academic Placements, Doctoral Alumni in Industry Placements
PhD in Statistics 2018
Website

“I’m Swupnil, the Co-Founder and CEO of SwingVision, a professional-grade mobile AI platform for amateur athletes, angel-backed by Andy Roddick.

I’m also a Co-Instructor for Data 8: Foundations of Data Science, the fastest-growing class at UC Berkeley, with 1,300+ students from across 40+ majors.

Previously, I built patent-pending AI for 3D object tracking at Tesla Autopilot.”


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Principal, Data Science & Analytics at Charles River Associates

Michael Agne

Principal, Data Science & Analytics at Charles River Associates

Doctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2015

Analytics in the Life Sciences practice

  • Predictive modeling in big data sets: patient finding, key driver analysis, forecasting
  • Sales force analysis: segmentation, projection, promotional response modeling
  • Pricing and Market Access: discrete choice modeling
  • Analysis at payer, physician, patient levels: hierarchical modeling
  • On-site training of clients in statistical software and models

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Principal Data Scientist, Code for America

Vincent Dorie

Principal Data Scientist, Code for America

Doctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2014

Developer of statistics software with an emphasis on Bayesian nonparametrics, causal inference, and mixed models.

Focused on not-for-profit work and using data for the public good.


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Managing Director, Head of US Single Stocks Exotic Derivatives Trading at Goldman Sachs

Amal Moussa

Managing Director, Head of US Single Stocks Exotic Derivatives Trading at Goldman Sachs

Doctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2011

“During my PhD I studied contagion and systemic risk in financial networks to highlight the importance of the network structure in identifying systemic financial institutions and formulating regulatory policies.

“The PhD program offered me the possibility to work with experts in the fields of Statistics and Financial Mathematics through a diverse range of classes and research projects, and most importantly, gave me the opportunity to meet and collaborate with amazing classmates and faculty.”


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Managing Director at BlackRock

Rachel Schutt

Managing Director at BlackRock

Doctoral Alumni, Doctoral Alumni in Industry Placements
https://magazine.amstat.org/blog/2018/03/01/rachel-schutt/
PhD in Statistics 2009

Rachel Schutt was the Chief Data Scientist of News Corp where she oversaw the company-wide data strategy as an executive on the senior technology leadership team. There she established the company’s first data science team for Dow Jones, the Wall Street Journal, and other brands. Schutt was named a World Economic Forum Young Global Leader in 2015 and is on the 2014 Crain’s New York Business 40 under 40 list.

While at Google Research, Schutt was part of the machine learning group in New York and holds patents based on her work in social networks, large data sets, experimental design, and machine learning.

Schutt is on the advisory board for Harvard’s Institute for Applied Computational Science (IACS).


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Senior Vice President of Analytics at Warner Music Group

Kobi Abayomi

Senior Vice President of Analytics at Warner Music Group

Doctoral Alumni, Doctoral Alumni in Industry Placements
Website
PhD in Statistics 2008

Career Highlights:

  • Completed and published innovative work for clients such as the World Bank, United Nations, the Government of Ecuador, and the Innocence Project.


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Director, Equity Portfolio Management at Acadian Asset Management

Fanesca Young

Director, Equity Portfolio Management at Acadian Asset Management

Doctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2005

Fanesca leads the Global Systematic Equities team at GIC and she is responsible for the management of long-only, active extension and market neutral systematic equity investments.  Prior to joining GIC, Fanesca was a Principal at Los Angeles Capital Management and served as Managing Director and Director of Quantitative Research, where she oversaw the firm’s proprietary stock selection model and supervised execution of technical methodologies.  Fanesca serves on the editorial board of the Financial Analyst Journal and the Journal of Systematic Investing.  She received her doctorate in Statistics from Columbia University and is a CFA charterholder. 


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