The sequencing of the human genome has provided researchers with a molecular parts list of the human cell. The next challenge in biology is to understand what the function of each part is and how these parts fit together. Such an understanding will provide insights into how cells live and die, why they decide to grow or stop growing and how they process signals from the environment to make these decisions. We are working to enable such understanding on a molecular level and apply this knowledge in the search for new cures of various diseases.
We are interested in understanding biology on a personalized level and use next-generation mass spectrometry to analyze proteomic and metabolomic data in high-throughput.
Our lab develops scaleable software tools, algorithms and workflows that enable biologists to analyze mass spectrometric data on the desktop and in the cloud.
We are looking for curious and collaborative people interested in developing methods and algorithms to understand biology on a molecular level.
We are working with next-generation mass spectrometric instruments to measure proteins and metabolites with unprecedented accuracy and throughput. The software developed in our lab is capable of analyzing millions of mass spectrometric scans, identify the measured analytes and extract accurate quantitative information from this data. We collaborate with researchers and doctors around the world using our tools and algorithms, helping them to interpret mass spectrometric data or develop new ways to answer long-standing biological questions.
The computational methods for quantitative mass spectrometry developed by us are then applied to answer questions in systems biology and personalized medicine. We are using targeted and untargeted mass spectrometry to measure proteins and metabolites with unprecedented accuracy and throughput, allowing researchers to obtain a systems-level view of analytes in mammalian cells, tissues and blood. One promising area of research has been the development of DIA methods in mass spectrometry with we are investing for their potential to increase specificity and throughput by orders of magnitude. These methods allow us to extract biological information from complex mass spectrometric datasets and apply this information to answer questions in systems biology and personalized medicine. We are currently applying our work to study global changes in humans during the progressions of diseases as diverse as diabetes, neurological diseases, connective tissue disorders and other disorders.
“The imagination of nature is far, far greater than the imagination of man.”
Richard Feynman
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