
Currently an Assistant Professor (tenure track) at Florida State University, Tallahassee, FL. Stewart, (Michael Schweinberger) Ph.D., (May 2020) Consistent estimation of high-dimensional random graph models with dependent edge variables. Currently a Statistics Content Author at zyBooks, a Wiley brand, Los Gatos, CA. Schedler, (Katherine Ensor) Ph.D., (May 2020) Advances in the Analysis of Spatially Aggregated Data. Raath, (Katherine Ensor) Ph.D., (May 2020) Dynamic Multivariate Wavelet Signal Extraction and Forecasting with Applications to Finance. Currently a US Intelligence Community Postdoctoral Fellow at the University of Florida, Gainesville, FL. Weylandt, (Katherine Ensor) Ph.D., (December 2020) Computational and Statistical Methodology for Large-Scale Structured Data. Currently an Assistant Professor at Florida State University, Tallahassee, FL. Liu, (Meng Li) Ph.D., (December 2020) Advanced Statistical Learning Methods in Image Processing.

Chen, (Marek Kimmel) Ph.D., (December 2020) Statistical Modeling for Species Count Data with Heterogeneity. Currently a Postdoctoral Associate at the University of Minnesota, Minneapolis, MN. Wang, (Genevera Allen) Ph.D., (May 2021) Statistical Machine Learning Approaches for Data Integration and Graphical Models. Currently a Postdoc in the Department of Neurosurgery, University of Pennsylvania. Wang, (Meng Li) Ph.D., (August 2021) Shape-Constrained Regression and False Discovery Rate Control for Functional Data with Applications to Human Intracranial Electoencephalography Study. Currently a Senior Data Scientist at Intuit in San Diego, CA. Osborne, (Marina Vannucci) Ph.D., (August 2021) Advances in Bayesian Approaches for Directed and Undirected Graphical Models. Currently a Principal Data Scientist at Engine No. (December 2021) Feature Learning and Bayesian Functional Regression for High-Dimensional Complex Data. Currently a Quantitative Analytics Specialist at Wells Fargo in Dallas, TX. (December 2021) Spatiotemporal Extreme Value Modeling with Environmental Applications. Currently a Research Scientist at Meta in Menlo Park, CA. (December 2021) Statistical Methods for Multivariate Outcomes with Applications to Biomedical Data. (May 2022) Statistical Machine Learning Methodology for Feature Selection, Structured Data, and Graphic Model Selection. Currently a Data Scientist at Commonspirit Health in Englewood, CO. (May 2022) Bayesian State-Space Models with Variable Selection for Neural Count Data. Currently an Assistant Professor at Colorado State University in Fort Collins, CO. Currently the Head of Data Science and Machine at New Territory Advisors in Houston, TX.
#JUN YU PHD JOHN HOPKINS UNIVERSITY SERIES#
(May 2022) Financial Time Series Forecasting Via RNNs and Wavelet Analysis. Currently a Postdoctoral Research Fellow and the University of Pennsylvania, Department of Biostatistics. (May 2022) Network Modeling Approaches Leveraging Higher Order Dependence for Complex Biomedical Data. (May 2022) Statistical Analysis of Clonal Hematopoiesis: A Stochastic Modeling Approach.

Currently an Applied Scientist II at Amazon Web Services in Santa Clara, CA. (August 2022) Memory Efficient Computation for Large Scale Machine Learning and Data Inference. Currently working as a Data Scientist II at Microsoft in Seattle, WA. (August 2022) Time-Varying Graphical Models for Microbiome Data.
Currently working as a Postdoctoral Scholar at Defense Threat Reduction Agency in Fort Belvoir, Virgina. (August 2022) Topolgical Data Analysis and Theoretical Statistical Inference for Time Series Dependent Data and Error in Parametric Choices.

#JUN YU PHD JOHN HOPKINS UNIVERSITY UPDATE#
If you are one of our alumni and you wish to update your information, contact us at Alumni by Degree Program Statistics PhD AlumniĪlex Aguilar, (Katherine Ensor) Ph.D. We do our best at keeping these lists current but the information on them is dependent on our former students letting us know if they move to another organization. Graduates of the Statistics programs at Rice University, whether they earned a bachelor's, master's or doctoral degree, are furthering their educations, working, doing research, and teaching around the world at top universities and in a wide variety of industries.
