Doctoral Alumni in Academic Placements
Arnab Auddy
Postdoctoral Researcher, University of PennsylvaniaDoctoral Alumni, Doctoral Alumni in Academic Placements
https://arnab-auddy.github.io/
PhD in Statistics 2023
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Ashley Datta
Visiting LecturerEmail: 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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Alessandro Grande
Post Doctoral Research Scientist, Department of Statistics, Columbia UniversityEmail: 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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Nabaran Deb
Assistant Professor of Econometrics and Statistics, University of Chicago’s Booth School of BusinessDoctoral Alumni, Doctoral Alumni in Academic Placements
https://nabarund.github.io/
PhD in Statistics 2022
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Alejandra Quintos Lima
Assistant Professor, University of Wisconsin-MadisonDoctoral Alumni, Doctoral Alumni in Academic Placements
https://alejandraquintos.com/
PhD in Statistics 2022
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Milad Bakhshizadeh
Postdoctoral Researcher, Stanford UniversityDoctoral 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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Rishabh Dudeja
Assistant Professor, University of Wisconsin-MadisonDoctoral Alumni, Doctoral Alumni in Academic Placements
https://stat.wisc.edu/staff/dudeja-rishabh/
PhD in Statistics 2021
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Yuling Yao
Flatiron Research Fellow at Flatiron Institute, Center for Computational MathematicsDoctoral 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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Adji Bousso Dieng
Assistant Professor, School of Engineering and Applied Science, Princeton UniversityDoctoral 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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Promit Ghosal
Assistant Professor, Brandeis UniversityDoctoral Alumni, Doctoral Alumni in Academic Placements
Website
PhD in Statistics 2020
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Hok Kan (Brian) Ling
Assistant Professor, Department of Mathematics and Statistics, Queen’s UniversityDoctoral Alumni, Doctoral Alumni in Academic Placements
PhD in Statistics 2020
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Yixin Wang
Assistant Prof. of Statistics at the University of Michigan and Faculty Affiliate of the Michigan Institute for Data ScienceDoctoral Alumni, Doctoral Alumni in Academic Placements
https://yixinwang.github.io/
PhD in Statistics 2020
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Jonathan Auerbach
Assistant Professor, Statistics, George Mason UniversityDoctoral Alumni, Doctoral Alumni in Academic Placements
Website
PhD in Statistics 2019
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Morgane Austern
Assistant Professor in the Department of Statistics, Harvard UniversityDoctoral 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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Christopher Dolan
Senior Lecturer, Department of Industrial Engineering & Operations Research in Columbia Engineering, Columbia UniversityDoctoral Alumni, Doctoral Alumni in Academic Placements
PhD in Statistics 2018
Website
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David A. Hirshberg
Assistant Professor in Quantitative Theory & Methods Department, Emory UniversityDoctoral 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 Athey, Guido 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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Gonzalo Esteban Mena
Assistant Professor in Statistics and Data Science, Carnegie Mellon UniversityDoctoral 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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Leo Neufcourt
Quantitative researcher in applied statistics and ML at Ecole polytechniqueDoctoral Alumni, Doctoral Alumni in Academic Placements
PhD in Statistics 2018
https://lneufcourt.github.io/
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Swupnil Sahai
CEO at SwingVision and Lecturer at UC BerkeleyDoctoral 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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Phyllis Wan
Assistant Professor at the Department of Econometrics, Erasmus University RotterdamDoctoral 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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Benjamin Bloem-Reddy
Assistant Professor of Statistics, University of British ColumbiaDoctoral 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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Haolei Weng
Assistant Professor, Department of Statistics and Probability, Michigan State UniversityDoctoral Alumni, Doctoral Alumni in Academic Placements
PhD in Statistics 2017
Website
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Xiaoou Li
Associate Professor, School of Statistics, University of MinnesotaDoctoral Alumni, Doctoral Alumni in Academic Placements
PhD in Statistics 2016
Website
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Rohit Kumar Patra
Assistant Professor in the Department of Statistics, University of FloridaDoctoral 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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Kristen L. Gore
Assistant Professor of Data Science at Willamette University/Certified Six Sigma Black BeltDoctoral 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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Radka Hakl Picková
Lecturer and Researcher, Škoda Auto UniversityDoctoral Alumni, Doctoral Alumni in Academic Placements
PhD in Statistics 2013
Website
Research focus: Stochastic Analysis and Mathematical Finance
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Gongjun Xu
Associate Professor of Statistics, Associate Professor of Psychology, Director of Master’s Program University of MichiganDoctoral Alumni, Doctoral Alumni in Academic Placements
PhD in Statistics 2013
Website
Research Interests:
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Latent variable models, psychometrics
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Statistical learning and inference, high-dimensional statistics
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Semiparametric models, survival analysis
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Tony Sit
Associate Professor, Director, M.Sc. in Risk Management Science Programme, The Chinese University of Hong KongDoctoral 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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Tyler H. McCormick
Associate Professor of Statistics & Sociology, Senior Data Science Fellow, University of WashingtonDoctoral Alumni, Doctoral Alumni in Academic Placements
PhD in Statistics 2011
Website
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
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Johannes Ruf
Professor at the Department of Mathematics, London School of EconomicsDoctoral 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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Georgios Fellouris
Associate Professor, Department of Statistics, University of Illinois at Urbana-ChampaignDoctoral 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
Nicholas R. Galbraith
Quantitative Strategist, Morgan Stanley – New YorkOffice: 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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Yilin Guo
Quantitative Researcher at Two Sigma Investments, LPDoctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2023
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Jialin Ouyang
Machine Learning Engineer, Adobe Inc.Doctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2023
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Jitong Qi
Machine Learning Engineer at PinterestDoctoral 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 SecuritiesDoctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2021
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Chaoyu Yuan
UpstartDoctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2021
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Ding Zhou
Quantitative Researcher at Two SigmaDoctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2021
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Guanhua Fang
Baidu ResearchDoctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2020
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Sihan Huang
Quantitative Researcher @ Squarepoint CapitalDoctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2020
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Wenda Zhou
Researcher at OpenAIDoctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2020
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Yayun (Lydia) Hsu
Senior Data Scientist at NBC Universal Media, LLCDoctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2019
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Jin Hyung (Peter) Lee
Research Scientist at MetaDoctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2019
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Gabriel Loazia-Ganem
AI Researcher at Layer 6 AIDoctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2019
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Florian Stebegg
Quantitative Researcher on Non-CompeteDoctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2019
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Shuaiwen Wang
FacebookDoctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2019
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Jing Wu
Quantitative Researcher at Point 72Doctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2019
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Kashif Yousuf
Data Scientist at GoogleDoctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2019
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Timothy Jones
Bank of AmericaDoctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2018
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Yang Kang
D.E. ShawDoctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2018
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Feihan Lu
Manager, Machine Learning at UpstartDoctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2018
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Susanna Makela
Data Scientist at GoogleDoctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2018
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Lisha Qiu
Quantitative Strategist at Virtu FinancialDoctoral Alumni, Doctoral Alumni in Industry Placements
PhD in Statistics 2018
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Swupnil Sahai
CEO at SwingVision and Lecturer at UC BerkeleyDoctoral 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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Michael Agne
Principal, Data Science & Analytics at Charles River AssociatesDoctoral 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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Vincent Dorie
Principal Data Scientist, Code for AmericaDoctoral 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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Amal Moussa
Managing Director, Head of US Single Stocks Exotic Derivatives Trading at Goldman SachsDoctoral 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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Rachel Schutt
Managing Director at BlackRockDoctoral 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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Kobi Abayomi
Senior Vice President of Analytics at Warner Music GroupDoctoral Alumni, Doctoral Alumni in Industry Placements
Website
PhD in Statistics 2008
Career Highlights:
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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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Fanesca Young
Director, Equity Portfolio Management at Acadian Asset ManagementDoctoral 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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