Current Group Members
|Barbara E Engelhardt PhD, Associate Professor, Department of Computer Science & Center for Statistics and Machine Learning (2014-present).
Barbara completed her BS and MS from Stanford University in 1999, and her PhD from University of California, Berkeley in 2007, advised by Michael Jordan. She did a postdoc at University of Chicago working with Matthew Stephens from 2008-2012, and was Assistant Professor at Duke University from 2012-2014. She also spent two years working at Jet Propulsion Laboratory (1999-2001), a summer at Google Research (2005), and a year at 23andMe (2007-2008). CV
|Mark Carty, PhD, Postdoctoral Fellow, Princeton University (Oct 2016-present).
Mark defended his PhD in Computational Biology at Cornell University’s Weill Cornell Graduate School of Medical Sciences with Christina Leslie and Oliver Elemento in 2016. His current work focuses on the application and development of Bayesian and non-Bayesian parametric approaches for modeling and inference on large datasets from genome sequencing experiments. The ultimate goal of my research is to help in the prevention, diagnosis, and treatment of human diseases.
|Will Townes, PhD, Postdoctoral Fellow, Princeton University (Aug 2019-present).
Will completed his PhD in Biostatistics at Harvard University in 2019, advised by Rafael Irizarry. His research interests include unsupervised learning and spatial models, with applications to single cell gene expression.
|Roberta De Vito, PhD, Postdoctoral Fellow, Princeton University (July 2016-present).
Roberta De Vito completed her PhD in Statistical Science at University of Padua, advised by Ruggiero Bellio and Giovanni Parmigiani at Harvard University where she developed her thesis work.
The main research interest are latent variable model, bayesian non parametric, variable selection via sparsity prior, machine learning and big data. She is currently working on bayesian modeling of high-dimensional and biological data at Princeton University.
|Michael Zhang, PhD, Postdoctoral Fellow, Princeton University (Oct 2018-present).
Michael Zhang earned a Ph.D. in statistics at the University of Texas at Austin where he was advised by Prof. Sinead Williamson. His research interests include statistical machine learning, scalable inference and Bayesian non-parametrics.
|Diana Cai, Graduate Student, Computer Science, Princeton University (Sept 2017-present), co-advised by Ryan Adams.
Diana’s research interests span the areas of Bayesian nonparametrics, robust probabilistic modeling, and scalable Bayesian inference. Previously, Diana obtained an A.B. in computer science and statistics from Harvard University, and an M.S. in statistics from the University of Chicago.
|Li-Fang Cheng, Graduate Student, ELE, Princeton University (Sept 2014-present), co-advised with Kai Li.
Li-Fang works on developing statistical models for analysis of complex, high-dimensional clinical data and building systems that help monitor patients in hospitals.
|Bianca Dumitrascu, Graduate Student, QCB, Princeton University (Sept 2014-present).
Bianca completed her B.S. in the Math Department at MIT. She works on statistical methods for quantitative genetics in large scale genomic data. Her current projects focus on single cell data analysis and experimental design.
|Ariel Gewirtz, Graduate Student, QCB, Princeton University (Sept 2015-present).
Ari completed her B.A. in computer science with a minor in biology at Swarthmore College. She currently works on association mapping frameworks for single-cell RNAseq. Past projects have focused on context-specific gene co-expression networks using the GTEx dataset.
|Genna Gliner, Graduate Student, ORFE Princeton University (Fall 2013-present).
Genna is developing statistical models to apply to large scale genomic data. In particular, she is working on the identification of eQTLs using genome wide association data.
|Brian Jo, Graduate Student, QCB, Princeton University (Sept 2014-present).
Brian completed his B.S. in Bioengineering in U.C. Berkeley. He is broadly interested in ML and Statistics, and hopes to employ Bayesian statistical models that could yield better insights into various biological processes.
|Ian McDowell, Graduate Student, CBB Duke University (Fall 2013-present).
Ian (co-advised with Dr. Tim Reddy) is working on the application of statistical models to large scale genomic data, including the identification of cis- and trans-linc-eQTLs in the GTEx data.
| Niranjani Prasad, Graduate Student, CS, Princeton University (Fall 2015-present).
Niranjani completed her BA, MEng in Engineering at the University of Cambridge. She is interested in developing machine learning methods for clinical data analysis & decision support.
| Archit Verma, Graduate Student, CBE, Princeton University (Fall 2016-present).
Archit graduated from Duke with a BSE in Biomedical Engineering and a minor in Economics. He is interested in using probabilistic machine learning models to analyze expression data, particularly single-cell RNA-seq data.
|Gregory Gundersen, Graduate Student, CS, Princeton University (Fall 2016–present).|
- Derek Aguiar (Postdoc, 2014-2018) Assistant professor, University of Connecticut
- Mehmet Basbug (PhD, 2014-2016) Machine Learning Engineer, Lion Cave Capital
- Ashlee Benjamin (Postdoc, 2013-2015) Research scientist, Duke University
- Greg Darnell (PhD, 2014-2019) Postdoc, Brown University
- Chuan Gao (Postdoc, 2012-2015) Bioinformatician III, Duke University
- Allison Chaney (Postdoc, 2016-2019) Assistant professor, Duke University
- Ian McDowell (PhD, 2013-2017) Research Scientist, Duke University
- Fantine Mordelet (Postdoc, 2012-2014) Data Scientist, Salezeo
- Sanvesh Srivastava (Postdoc, 2013-2015) Assistant professor, University of Iowa
- Shiwen Zhao (PhD 2012-2016) Machine Learning Research Scientist, Apple
Group Alumni: Undergraduates and Masters Students
- Austin Alexander (CS, Duke University, Masters 2012-2014)
- Theodore Brundage (CS, Princeton University, Masters 2015-2017)
- Vladimir Feinberg (CS, Princeton University, Undergraduate Class of 2017)
- Kayla Hudson (DSS, Duke University, Undergraduate 2013-2014)
- Lydia Liu (ORFE, Princeton University, Undergraduate Class of 2017)
- Andrew Semelhago (ORFE, Princeton University, Undergraduate Class of 2017)
- Maxim Zaslavsky (CS, Princeton University, Undergraduate Class of 2017)
- Weiwei (Vivian) Zhang (MGM Duke University, Masters 2012-2014)