Dennis Goldfarb, PhD’s research focuses on computational mass spectrometry, proteomics, and their applications in biology. His lab develops open-source solutions for novel data acquisition strategies, data analysis, and visualization tailored to the unique challenges of each experiment. Dr. Goldfarb aims to increase the throughput and reproducibility of large-scale projects with automated pipelines that leverage high-performance computing. Recently his research has concentrated on instrumentation, protein complex identification, and de novo peptide sequencing.
Dr. Goldfarb received his PhD in Computer Science from The University of North Carolina at Chapel Hill. During this time he studied full-time in a cancer cell biology laboratory and became proficient in the operation of liquid chromatography and mass spectrometry instrumentation, experimental design, and subsequent data analysis. He developed methods to compute isotope distributions of fragment ions, deconvolve chimeric mass spectra, and to predict protein-protein interactions from affinity purification – mass spectrometry experiments. Through his many collaborations, Dr. Goldfarb has and continues to contribute to our understanding of the human microbiome, histone code, drug-target discovery, and cancer.
- PhD in Computer Science from The University of North Carolina at Chapel Hill
McDonnell Sciences Building, Room 406
Mass Spectrometry | Proteomics | Bioinformatics
We develop software, algorithms, and workflows for mass spectrometry and proteomics experiments. Using machine learning, statistical modeling, and computer science techniques we optimize a mass spectrometer’s data acquisition strategy in real-time to improve identification, quantification, and create novel analytical capabilities. We are focused on protein-protein interactions, protein complexes, and de novo peptide sequencing.