معرفی
Olga Vitek is a Professor at Northeastern University's Khoury College of Computer Sciences, with affiliated faculty status in the Department of Chemistry and Chemical Biology. Her research bridges statistical science and machine learning with mass spectrometry-based proteomics and systems biology, focusing on developing open-source software tools like MSstats and Cardinal for quantitative proteomic analyses and imaging.
- Education: PhD in Statistics (Purdue University), Postdoc at the Ruedi Aebersold Lab (Institute for Systems Biology)
- Leadership: Director of the Barnett Institute for Chemical and Biological Analysis
Her work emphasizes:
- Statistical experimental design
- Signal detection in complex mass spectrometry data
- Causal inference in biomolecular networks
- Reproducible computational infrastructure
Recent publications highlight advancements in quantitative proteomics, mass spectrometry imaging, and causal modeling, with applications spanning cancer research, immunology, and clinical diagnostics. Notable trends include deep learning integration for image analysis and open-source tool development for scalable, transparent workflows.
Scientific accolades:
- Elected Fellow of the American Statistical Association
- 2021 Gilbert S. Omenn Computational Proteomics Award
- NSF CAREER award
- Chan-Zuckerberg Essential Open-source Software award
- Senior Member, International Society for Computational Biology
