I am deeply honored to share that I have been selected to receive the Biemann Medal by the American Society For Mass Spectrometry (
@asmsnews). This distinction holds particular significance for me, given its recognition of contributions that advance the field in meaningful and lasting ways.
While this award is presented to an individual, it reflects the collective contributions of exceptional teams at Slavov Lab (
@slavovLab) and Parallel Squared Technology Institute (
@ParallelSqTech). The progress we have made in pioneering single-cell mass spectrometry proteomics has been possible only through the bold vision, creativity, rigor, and persistence of colleagues and collaborators who share a commitment to expanding the boundaries of what can be measured and understood.
I see this recognition not only as an acknowledgment of past work, but also as an affirmation of the promise of mass spectrometry and single-cell proteomics in particular. As these technologies continue to evolve, they offer unprecedented opportunities to uncover the molecular logic of biological systems with greater depth, precision, and mechanistic clarity. They are ideally positioned to generate the direct measurements and scalable datasets needed to power generalizable models of cells and cellular systems, deeper understandering of physiology and pathology, and ultimately the engineering of effective medical treatments.
This award is special for me because of the leading roles of ASMS in our field and the high standards set by Klaus Biemann. His pioneering contributions helped shape the modern foundations of mass spectrometry and set inspiring examples for innovation, scientific integrity and mentorship. His formative influence continues to resonate across the field, making this recognition especially meaningful.
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𝐅𝐢𝐠𝐮𝐫𝐞: The left panel depicts peptide ions and their fragments derived from single cells and analyzed on the Q Exactive, an instrument introduced more than 15 years ago. The right panel shows quantification across many proteins in single cells from the same experiment. I selected this example because it clearly demonstrates how well-designed experiments and spectra interpretation can result in high-quality data even when using old instrumentation. This was a foundational pillar to our early contributions. The figure was created by Jason Derks circa 2021 and subsequently published as part of the community guidelines in 𝑁𝑎𝑡𝑢𝑟𝑒 𝑀𝑒𝑡ℎ𝑜𝑑𝑠:
nature.com/articles/s41592-0…