Current Group Members
|Barbara E Engelhardt PhD, Assistant 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
|Derek Aguiar, PhD, Postdoctoral Fellow, Princeton University (Sept 2014-present).
Derek completed his PhD in Brown University’s Computer Science Department with Sorin Istrail in 2014. His current work focuses on Bayesian nonparametric statistical models for phasing, imputation, and other large-scale genomics data problems.
|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.
|Allison Chaney, PhD, Postdoctoral Fellow, Princeton University (Oct 2016-present).
Allison completed her PhD in Computer Science at Princeton University in 2016, advised by David Blei. She is interested in developing scalable Bayesian models to answer questions about human behavior.
|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.
|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.
|Greg Darnell, Graduate Student, QCB, Princeton University (Sept 2014-present).
Greg completed his B.S. in the Computer Science Department at UCLA in June, 2013; he performed significant research in problems at the interface of machine learning and quantitative genetics with Eleazar Eskin. He started his PhD in the CBB program at Duke University, and transferred to Princeton University in 2014. His current work focuses on Bayesian statistical models and ML for problems in quantitative genetics.
|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.
|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 is particularly interested in genomic network analysis and forming statistical models for high-dimensional data to yield insights into human disease.
|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.
- Mehmet Basbug (PhD, 2014-2016) Machine Learning Engineer, Lion Cave Capital
- Ashlee Benjamin (Postdoc, 2013-2015) Research scientist, Duke University
- Chuan Gao (Postdoc, 2012-2015) Bioinformatician III, 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, FeatureX
Group Alumni: Undergraduates and Masters Students
- Austin Alexander (CS, Duke University, 2012-2014)
- Kayla Hudson (DSS, Duke University, Undergraduate 2013-2014)
- Weiwei (Vivian) Zhang (MGM Duke University, Masters 2012-2014)
Previous and Current Rotation Students
- Alex Beatson, 2015, CS
- Ari Gewirtz, Rotation Student 2015, QCB
- Andrew Taverner, Rotation Student 2015, Princeton QCB
- Florian Wagner, Rotation Student 2014, CBB
- Dinesh Manandhar, Rotation Student Spring 2013, CBB
- Rotem Ben-Shachar, Rotation Student 2012, CBB
- Ayal Gussow, Rotation Student 2012, CBB
- Joe Saelens, Rotation Student 2012, MGM
- Ryan P Adams, Harvard University
- Jordana T Bell, King’s College London
- David Blei, Columbia University
- Casey Brown, University of Pennsylvania
- David Dunson, Duke University
- Lara Mangravite, Sage Biosystems
- Sayan Mukherjee, Duke University
- Athma Pai, Massachusetts Institue of Technology
- Tim Reddy, Duke University
- Matthew Stephens, University of Chicago
- Olga Troyanskaya, Princeton University