Kunal Poorey

Senior Member of Technical Staff - Sandia National Laboratories
Ph.D., Biochemistry Molecular Biology and Genetics, University of Virginia

Kunal Poorey has for 12 years conducted research in Bioinformatics, genomics and molecular biology.  Dr. Poorey’s current research focuses on microbiome and its correlation with diseases, algae pond metagenomics, multi-drug-resistance, and host-pathogen interactions in bacterial infections. He has developed several software pipelines to analyze sequencing data and apply machine-learning techniques for Metagenomics and Amplicon sequencing, RNA-seq, ChIP-seq, and other genomics assays.

Dr. Poorey is presently the Co-investigator and a collaborator on a variety of DOE BioEnergy Technology Office (BETO) funded projects including DISCOVR and Sandia’s LDRD programs.

Project Responsibilities
  • Serves as Co-investigator for the subtask of “Machine Learning for Optimization of Pond Operation” in DISCOVR
  • Development of a predictive Machine Learning model for early prediction of pond crash
  • Determination of feature signatures of bad algal production.
  • Development of anomaly detection model for time-resolved early prediction of a crash.
Featured Publications

Poorey K., Fisher, C.L., Carney, L.T., Curtis, D.J., Lane, P.D., Solberg, O.D., Crowe, B.J., Van Wagenen, J., Huesemann, M.H., and Lane, T.W. 2018. Microbial community succession in long term open algae cultivation systems of Microchloropsis salina and Chorella: evidence for a core microbiome. Submitted for publication

Chen X, Poorey K, Wells MN, Muller U, Bekiranov S, Auble DT, Brow DA., Transcriptomes of six mutants in the Sen1 pathway reveal combinatorial control of transcription termination across the Saccharomyces cerevisiae genome. PLoS Genetics 2017.

Bent ZW, Poorey K, LaBauve AE, Hamblin RY, Williams KP, and Meagher RJ. A Rapid Spin Column-Based Method to Enrich Pathogen Transcripts from Eukaryotic Host Cells Prior to Sequencing. PLoS ONE Dec 2016

Bent ZW, Poorey K, Brazel DM, LaBauve AE, Sinha A, Curtis DJ, Tew KE, Hamblin RY, Williams KP, Branda SS, Young GM, and Meagher RJ. “A Transcriptomic Analysis of Yersinia enterocolitica biovar 1B Infecting Murine Macrophages Reveals New Mechanisms of Extracellular and Intracellular Survival” Infect Immun. Apr 2015.

Poorey K, Viswanathan R, Craver MN, Karpova TS, McNelly JG, Bekiranov S, Auble DT. “Measuring Chromatin Interaction Dynamics on the Second-Time Scale at Single-Copy Genes.” Science Oct 2013.

Li M, Valsakumar V, Poorey K, Bekiranov S, Smith JS. “Genome-wide Analysis of Functional Sirtuin Chromatin Targets in Yeast.” Genome Biol. May 2013.

Hyland EM, Molina H, Poorey K, Jie C, Xie Z, Dai J, Qian J, Bekiranov S, Auble DT, Pandey A, Boeke JD. “An evolutionarily 'young' lysine residue in histone H3 attenuates transcriptional output in Saccharomyces cerevisiae.” Genes Dev. June 2011.

Poorey K, Sprouse RO, Wells MN, Viswanathan R, Bekiranov S, Auble DT “RNA synthesis precision is regulated by preinitiation complex turnover.” Genome Res. 2010 Dec; 20(12):1679-88. Epub 2010 Sep 20.

Wade SL, Poorey K, Bekiranov S, Auble DT “The Snf1 kinase and proteasome-associated Rad23 regulate UV-responsive gene expression.” EMBO J. 2009 Oct 7;28(19):2919-31