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Welcome to David van Dyk's web site photo: dvd


PhD Students:

  1. Li, Siyang (in progress), Department of Mathematics, Imperial College London.

  2. Meyer, Antoine (2024). Stochastic Variability Modelling in Bayesian Applications to High-Energy Astrophysics, Department of Mathematics, Imperial College London. Currently Quantitative Researcher at Man AHL.

  3. Autenrieth, Max (2023). Principled Bayesian Modeling and Statistical Learning with Non-Representative Data in Astrophysics, download, Department of Mathematics, Imperial College London. Currently Postdoctoral Researcher at Imperial College London.

  4. Yu, Xixi, (2021). Multistage Analysis in Astrostatistics, download , Department of Mathematics, Imperial College London. Currently Vice-President at Citi.

  5. Andrea Sottosanti (2019). Advances in Mixture Modelling for Model-Based Clustering: Two Case Studies in Astronomy, download, Department of Statistical Sciences, University of Padova (Primary advisor was Mauro Bernardi). Currently Assistant Professor at the University of Padova.

  6. Sara Algeri (2018). Testing One Hypothesis Many Times, download, Department of Mathematics, Imperial College London (with Jan Conrad). Currently Associate Professor at the University of Minnesota.

  7. Stampoulis, Vasileios (2018). Bayesian Estimation of Luminosity Distributions and Model Based Classification of Astrophysical Sources, download, Department of Mathematics, Imperial College London. Currently Quantitative Trader at ISAM.

  8. Si, Shijing (2018). Simple Two-stage Algorithms for fitting Hierarchies of Complex Models with Applications in Astrophysics, download, Department of Mathematics, Imperial College London. Currently Senior Lecturer at Shanghai International Studies University.

  9. Xiyun Jiao (2016). Using Surrogate Distributions to Improve the Convergence Properties of Gibbs-type Samplers, download, Department of Mathematics, Imperial College London. Currently Assistant Professor at Southern University of Science and Technology (Shenzhen).

  10. Hyungsuk Tak (2016). Topics in Bayesian Hierarchical Modeling and its Monte Carlo Computations, download, Department of Statistics, Harvard University (Primary advisor was Xiao-Li Meng). Currently Assistant Professor at Pennsylvania State University.

  11. Jones, David (2016). Information: Measuring the Missing, Using the Observed, and Approximating the Complete, download, Department of Statistics, Harvard University (Primary advisor was Xiao-Li Meng). Currently at Amazon.

  12. David Stenning (2015). Astrostatistical Analysis in Solar and Stellar Physics, download, Department of Statistics, University of California, Irvine. Currently Assistant Professor at Simon Fraser University.

  13. Zhao, Shandong (2014). Causal Inference and Model Selection in Complex Settings, download, Department of Statistics, University of California, Irvine. Currently Data Scientist at Little Red Book.

  14. Xu, Jin (2014). Accounting for Calibration Uncertainty in Detectors for High-Energy Astrophysics, download, Department of Statistics, University of California, Irvine. Currently Director of Machine Learning at Adobe.

  15. Taeyoung Park (2006). Inference and Efficient Computation for Highly Structured Models with Applications, download, Department of Statistics, Harvard University. Currently Professor at Yonsei University.

  16. Kang, Hosung (Ph.D., 2005). Markov Chain Monte Carlo Applications in Bioinformatics and Astrophysics, download, Department of Statistics, Harvard University (Joint with Jun Liu). Currently Head of Research at LINE Investment Technologies.

  17. Yu, Yaming (Ph.D., 2005). Three Contributions to Statistical Computing, Department of Statistics, Harvard University (Joint with Donald B. Rubin and Xioa-Li Meng). Currently Associate Professor at the University of California, Irvine.

  18. Esch, David (Ph.D., 2003). Applications and Extensions of Three Statistical Models, download, Department of Statistics, Harvard University (Joint with Carl Morris). Currently Chief Officer of Research and Development at New Frontier Advisors.

  19. Imai, Kosuke (Ph.D., 2003). Essays on Political Methodology,, Department of Government, Harvard University (Joint with Gary King). Currently Professor at Harvard University.

  20. Protassov, Rostislav (Ph.D., 2002). An Application of Missing Data Methods: Testing for the Presence of a Spectral Line in Astronomy and Parameter Estimation of the Generalized Hyperbolic Distribution,, Department of Statistics, Harvard University (Joint with Art Dempster). Formally Director at Citi.

  21. Pedroza, Cluadia (2002). Bayesian Hierarchical Time Series Modeling of Mortality Rates, Department of Statistics, Harvard University. Currently Associate Professor at UTHealth McGovern Medical School.

  22. Tang, Rouxi (Ph.D., 2002). Fitting and Evaluating Certain Two-Level Hierarchical Models,, Department of Statistics, Harvard University (Joint with Carl Morris).

PhD Project Advisor or Co-Advisor for:

  1. Wang, Jue (2024). Department of Statistics, University of California, Davis (PhD Supervisor: Thomas Lee).

  2. McKeough, Katy (2020). A Tale of Two Multi-Phase Inference Applications, download, Department of Statistics, Harvard University (PhD Supervisors: Mark Glickman and Xiao-Li Meng). Currently Senior Analyst, Red Sox.

  3. Campos, Luis (2019). Fortunes and Misadventures with Parametric Models: They Can Be Confounding, Burdensome and Unstable, Yet Insightful, Powerful and Flexible, download, Department of Statistics, Harvard University (PhD Supervisor: Luke Miratrix). Currently Engineering Manager, Etsy.

  4. Shariff, Hikmatali (2018). Applications of Bayesian Statistics in Supernovae Ia Cosmology, download, Department of Physics, Imperial College London (PhD Supervisor: Roberto Trotta).

  5. Wang, Lazhi (2015). Methods in Monte Carlo Computation, Astrophysical Data Analysis and Hypothesis Testing With Multiply-Imputed Data, download, Department of Statistics, Harvard University (PhD Supervisor: Xiao-Li Meng). Currently at Two Sigma.

  6. A HREF="https://raymondkww.github.io"> Wong, Raymond (2014). On some Complex and Massive Data Problems, Department of Statistics, University of California, Davis (PhD Supervisor: Thomas Lee). Currently Associate Professor at Texas A&M

  7. Stein, Nathan (2013). Combining Computer Models to Account for Mass Loss in Stellar Evolution, download, Department of Statistics, Harvard University (Primary advisor was Xiao-Li Meng). Currently at Spotify.

  8. DeGennaro, Steven (2009). White Dwarfs and the Ages of Stellar Populations, Department of Astronomy, University of Texas, Austin (Primary advisor was Ted von Hippel).

Honors Undergraduate Students:

  1. Hans, Chris (A.B., 2001). Accounting for Absorption Lines in High Energy Spectra via Bayesian Modelling, Department of Statistics, Harvard University. Currently Associate Professor at The Ohio State University.

  2. Javaras, Kristin (A.B., 2000). A General Location Model Allowing for Semicontinuous Variables and Incomplete Data with an Application to a 1996 Survey of Massachusetts Megabuck Lottery Winners, Department of Statistics, Harvard University. Currently Assistant Professor of Psychology at the Harvard Medical School.