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.
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.
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 Sep 1;187(9):1980-1989.
Zhang Y, Bernau C, Parmigiani G, Waldron L. The impact of different sources of heterogeneity on loss of accuracy from genomic prediction models. Biostatistics. 2018 Sep 6. doi: 10.1093/biostatistics/kxy044.