Levi Waldron

Associate Professor of Biostatistics

Ph.D Wood Science
University of Toronto

M.S Physics
University of Waterloo

B.S Physics
University of British Columbia

levi.waldron@sph.cuny.edu

Waldron Lab

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.

Key Projects:


Recent Publications: 

Rosenbaum J, Usyk M, Chen Z, Zolnik CP, Jones HE, Waldron L, Dowd JB, Thorpe LE, Burk RD. Evaluation of Oral Cavity DNA Extraction Methods on Bacterial and Fungal Microbiota. Sci Rep. 2019 Feb 6;9(1):1531. doi: 10.1038/s41598-018-38049-6.

Waldron L, Schiffer L, Azhar R, Ramos M, Geistlinger L, Segata N. Improving Accessibility of the Human Microbiome Project Data Through Integration With R/Bioconductor. Am J Epidemiol. 2019 Jan 23. doi: 10.1093/aje/kwz008. [Epub ahead of print]

Davis S, Ramos M, Shepherd L, Turaga N, Geistlinger L, Morgan MT, Haibe-Kains B, Waldron L. Orchestrating a community-developed computational workshop and accompanying training materials [version 1; referees: 2 approved]. F1000Research 2018, 7:1656

Robertson MM, Penrose K, Irvine MK, Robbins RS, Kulkarni S, Braunstein SL, Waldron L, Harriman G, Nash D. Impact of an HIV Care Coordination Program on Durable Viral Suppression. J Acquir Immune Defic Syndr. 2018 Oct 1. doi: 10.1097/QAI.0000000000001877. [Epub ahead of print]

Ma S, Ogino S, Parsana P, Nishihara R, Qian Z, Shen J, Mima K, Masugi Y, Cao Y, Nowak J, Shima K, Hoshida Y, Giovannucci E, Gala M, Chan A, Fuchs C, Parmigiani G, Huttenhower C, Waldron L.  Continuity of transcriptomes among colorectal cancer subtypes based on meta-analysis. Genome Biology. 2018 19:142.