I’m a Quantitative Analyst at Google. In 2017 I received my Ph.D. in Statistics from the Department of Statistics and Operations Research (STOR) at UNC Chapel Hill. My research interests include machine learning and statistical methods for networks, and computational genomics. My thesis work was under the advisement of Andrew B. Nobel and Shankar Bhamidi. Since May 2014, I have been part of a working group in the GTEX Project. (This affiliation is maintained unofficially now that I have joined Google.) I was part of the Probability Group at UNC.
- Aguet, Francois; …; Palowitch, John; Wright, Fred A.; GTEx Consortium; Lappalainen, Tulli; Ardlie, Kristin G.; Dermitzakis, Emmanouil T.; Brown, Christopher D.; Montgomery, Stephen D. “Local genetic effects of gene expression across 44 human tissues.” bioarXiv link [in publication at Nature Genomics]
- Palowitch, John; Zhou, Yihui; Shabalin, Andrey; Zhou, Yihui; Nobel, Andrew B.; Wright, Fred A. “Estimation of Interpretable eQTL Effect Sizes Using a Log of Linear Model.” arXiv link [in publication at Biometrics]
- Palowitch, John; Bhamidi, Shankar; Nobel, Andrew B. “Significance-based community detection in weighted networks.” arXiv link / supplemental doc [in revisions at Journal of Machine Learning Research]
- Jiang, Melei; Palowitch, John; Yu, Qunqun; Marron, J. S.; Haaland, Perry D. “Finding Community Subtypes in the Microbiome of the Infected Lower Lung.” [in preparation]
- Wilson, James D.; Palowitch, John, Bhamidi, Shankar; Nobel, Andrew B. “Significance Based Extraction in Multilayer Networks with Heterogeneous Community Structure” arXiv link [in publication at Journal of Machine Learning Research]
Conferences and Presentations
- Data Institute SF Annual Conference, October 16th-17th
- SIAM NS17, July 13th-14th
- Conference on Statistical Learning and Data Science, June 6-8, Chapel Hill, NC.
- Stochastic Networks Conference, June 20-24, San Diego, CA.
- Joint Statistical Meetings, July 30-August 4, Chicago, IL.
- “The Continuous Configuration Model: Extracting Communities from Edge-Weighted Networks”, Triangle Area Graduate Mathematics Conference
- “Extracting Overlapping Communities from Weighted Networks”, JSM Contributed Sessions, Seattle WA, August 2015
- “Robust Effect Size Estimation for eQTL Analysis”, GTEx AWG Meeting, Chicago IL, June 2015
- “Multi-Tissue eQTL Detection”, GTEx AWG Meeting, Washington D.C., December 2014
- “Object-Oriented Data Analysis (OODA) Approach to Microbiome Data” (contributed poster), ISMB 2014, July 201
- Winner of the Duke Datahon (sponsored by Citadel, Citadel Securities, and Correlation One)
- SSPA/Monsanto Student Grant, 2015