Ph.D Wood Science
University of Toronto
University of Waterloo
University of British Columbia firstname.lastname@example.org
Dr. Waldron is active in public health data science, combining statistics and computation to address data-intensive public health problems, particularly in the field of translational cancer research. He is a technical advisor to the Bioconductor project for computational biology and the author of multiple software and data packages for genomic analysis and analysis of the human microbiome.
Prior to his work at CUNY ISPH, Dr. Waldron completed a post-doctoral fellowship at the University Health Network in Toronto, and at the Harvard School of Public Health and Dana Farber Cancer Institute.
Dr. Waldron’s implementation science expertise focuses on assessing the effectiveness of novel HIV patient care, and the clinical translation of molecular subtypes of cancer.
Robertson MM, Waldron L, Robbins RS, Chamberlin S, Penrose K, Levin B, Kulkarni S, Braunstein SL, Irvine MK, Nash D. Using Registry Data to Construct a Comparison Group for Programmatic Effectiveness Evaluation - the New York City HIV Care Coordination Program. Am J Epidemiol. 2018 May 21. doi: 10.1093/aje/kwy103. [Epub ahead of print]
Waldron L. Data and Statistical Methods To Analyze the Human Microbiome. mSystems. 2018;3(2):e00194-17. doi:10.1128/mSystems.00194-17.
Raimann JG, Waldron L, Koh E, Miller GA, Sor MH, Gray RJ, Kotanko P. Meta-analysis and commentary: Preemptive correction of arteriovenous access stenosis. Hemodial. Int. 2017.
Ramos M, Schiffer L, Re A, Azhar R, Basunia A, Rodriguez C, Chan T, Chapman P, Davis SR, Gomez-Cabrero D, Culhane AC, Haibe-Kains B, Hansen KD, Kodali H, Louis MS, Mer AS, Riester M, Morgan M, Carey V, Waldron L. Software for the Integration of Multiomics Experiments in Bioconductor. Cancer Res. 2017, 77:e39–e42.
Pasolli E, Schiffer L, Manghi P, Renson A, Obenchain V, Truong DT, Beghini F, Malik F, Ramos M, Dowd JB, Huttenhower C, Morgan M, Segata N, Waldron L. Accessible, curated metagenomic data through ExperimentHub. Nat. Methods 2017, 14:1023–1024.