Pedro Baldoni

Pedro Baldoni serves as an Assistant Professor in the Department of Biostatistics and Health Data Science at the University of Pittsburgh's School of Public Health. His academic journey includes a BSc and MSc in Statistics from the University of Campinas (Brazil), followed by a PhD in Biostatistics from the University of North Carolina at Chapel Hill, and postdoctoral training at the Walter and Eliza Hall Institute of Medical Research under Professor Gordon Smyth.

Dr. Baldoni specializes in developing statistical methodologies for high-throughput genomic data analysis. His primary research focuses on RNA-seq transcript-level analysis, where he addresses quantification uncertainty through innovative methods like divided counts and Gibbs sampling implementations in edgeR v4. He also develops epigenomic analysis tools (epigraHMM, ZIMHMM) for detecting protein-DNA binding sites across conditions using mixed-effects hidden Markov models. Additional work includes measurement error correction in complex survey designs for epidemiological studies like the Hispanic Community Health Study.

His publication trends reveal consistent contributions to Bioconductor software development, with recent articles (2019-2024) emphasizing uncertainty-aware differential expression analysis, epigenomic peak calling, and statistical modeling for genomic technologies. These works demonstrate strong integration between theoretical statistics and practical bioinformatics applications.

As an educator, he teaches BIOST 2160: Data Visualization for Health Data Science, emphasizing accessibility and effective communication of health data. His methodological developments primarily serve the Bioconductor Project, with tools designed to identify molecular features changing between experimental conditions across transcriptomic, epigenomic, and proteomic datasets.