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.
Gao J, Perlman A, Kalache S, Berman N, Seshan S, Salvatore S, Smith L, Wehrli N, Waldron L, Kodali H, Chevalier J. Multi-parametric Quantitative Ultrasound Imaging in Assessment of Chronic Kidney Disease. J Ultrasound Med. 2017 Apr 13.
Gao J, Zheng X, Zheng YY, Zuo GQ, Ran HT, Auh YH, Waldron L, Chan T, Wang ZG. Shear Wave Elastography of the Spleen for Monitoring Transjugular Intrahepatic Portosystemic Shunt Function: A Pilot Study. Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine. 2016;35(5):951-8.
Kannan L, Ramos M, Re A, El-Hachem N, Safikhani Z, Gendoo DM, Davis S, Gomez-Cabrero D, Castelo R, Hansen KD, Carey VJ, Morgan M, Culhane AC, Haibe-Kains B, Waldron L. Public data and open source tools for multi-assay genomic investigation of disease. Briefings in bioinformatics. 2016;17(4):603-15.
Pasolli E, Truong DT, Malik F, Waldron L, Segata N. Machine Learning Meta-analysis of Large Metagenomic Datasets: Tools and Biological Insights. PLoS computational biology. 2016; 12(7):e1004977.
Spratt DE, Chan T, Waldron L, Speers C, Feng FY, Ogunwobi OO, Osborne JR. Racial/Ethnic Disparities in Genomic Sequencing. JAMA oncology. 2016;2(8):1070-4.