Our laboratory develops proteomic technologies to study mechanisms in cellular biology and disease. Specifically, our objective is to achieve full proteome quantification using mass spectrometry by developing novel data acquisition strategies and bioinformatics tools in conjunction with informative data visualization.
Data Acquisition: Using machine learning, statistical modeling, and computer science we develop algorithms that control and optimize the instrument’s data acquisition strategy in real-time to improve identification, quantification, and create novel analytical capabilities.
Bioinformatics: We create data analysis and visualization tools tailored to the challenges of unique experiments. We aim to increase the throughput and reproducibility of large-scale projects with automated pipelines that leverage high-performance computing.
Protein Complexes: The complexome is the catalogue of all protein complexes in a cell. What are their members, subunits, and stoichiometries? How do they interact with each other? How do they change under different conditions? Our lab is developing the tools to answer these questions in high-throughput.