Dr. Parag Mallick is a distinguished systems biologist pioneering the integration of computational and experimental approaches to advance precision medicine. He currently serves as an Associate Professor of Radiology at Stanford University, holding a research appointment within the Canary Center for Cancer Early Detection. With foundational training spanning computer science and biochemistry, Dr. Mallick completed his undergraduate studies in Computer Science at Washington University in St. Louis before earning his PhD in Chemistry & Biochemistry from UCLA under the mentorship of Dr. David Eisenberg. His formative postdoctoral research was conducted at the Institute for Systems Biology with proteomics pioneer Dr. Ruedi Aebersold, where he developed expertise that would shape his interdisciplinary scientific trajectory.
Dr. Mallick has pioneered innovative approaches to integrate multi-omic data toward understanding disease mechanisms and discovering diagnostic biomarkers, creating transformative frameworks that bridge computational modeling and biological discovery. His laboratory has been instrumental in developing ProteoWizard, an open-source suite of proteomics tools that has become a standard resource for researchers worldwide, significantly advancing the field's technical capabilities. With over 100 peer-reviewed publications, he has made significant contributions across proteomics, cancer biology, and computational methodology, with his work on model-based and physics-based machine learning approaches enabling analysis across diverse temporal and spatial scales. His research has resulted in multiple patents across artificial intelligence, proteomics technology, biomarker development, and nanotechnology, demonstrating the translational impact of his scientific contributions.
Beyond academia, Dr. Mallick co-founded Nautilus Biotechnology as Chief Scientist, establishing a next-generation proteomics company focused on developing large-scale, single-molecule analysis technology with unprecedented sensitivity. His leadership extends to advising numerous biotechnology and diagnostics companies, where he applies his interdisciplinary expertise to accelerate the translation of basic research into clinical applications. Dr. Mallick's laboratory continues to push boundaries with physics-informed machine learning approaches that operate across diverse scales, potentially revolutionizing early cancer detection and personalized medicine. His unique perspective as both a rigorous scientist and a performing magician informs his creative problem-solving approach, demonstrating how diverse intellectual pursuits can synergistically enhance scientific innovation and discovery.
