Dr. Olga Vitek is a Professor in the Khoury College of Computer Sciences at Northeastern University. Previously she was named the Sy and Laurie Sternberg Interdisciplinary Associate Professor at Northeastern University, and was a tenured faculty and a University Faculty Scholar at Purdue University.
Research in the Olga Vitek’s lab explores synergies between statistical science and machine learning, as applied to quantitative large-scale mass spectrometry-based investigations, to understand the functioning of living organisms. The lab develops methods for (1) statistical experimental design, (2) detecting analyte’s signals in large and complex outputs produced by mass spectrometers, (3) causal and counterfactual inference of regulatory events among the analytes. The lab develops open-source software and educational materials, that are broadly used in academia and industry. These include MSstats (relative quantification of proteins in mass spectrometric experiments) and Cardinal (analysis of mass spectrometric images). The lab is the lead organizer of the educational event May Institute on Computation and Statistics for Mass Spectrometry and Proteomics.
Work in the lab has been recognized with the Chan Zuckerberg Essential Open Source Software for Science Award, with the Gilbert S. Omenn Computational Proteomics Award of the US Human Proteome Organization, with the Excellence in Research and Creative Activity Award of Northeastern University, and with the National Science Foundation CAREER Award.
Vitek is a Fellow of the American Statistical Association, a Senior Member of the International Society for Computational Biology, and an Elected Member of the Council of Human Proteome Organization (HUPO) and of the Board of Directors of USHUPO. She is Associate Editor of the journal Bioinformatics, and a member of the Editorial advisory board of Molecular and Cellular Proteomics and of Journal of Proteome Research. She is President of the Boston Chapter of the American Statistical Association.
Dr. Olga Vitek is a Professor in the Khoury College of Computer Sciences at Northeastern University. Previously she was named the Sy and Laurie Sternberg Interdisciplinary Associate Professor at Northeastern University, and was a tenured faculty and a University Faculty Scholar at Purdue University.
Research in the Olga Vitek’s lab explores synergies between statistical science and machine learning, as applied to quantitative large-scale mass spectrometry-based investigations, to understand the functioning of living organisms. The lab develops methods for (1) statistical experimental design, (2) detecting analyte’s signals in large and complex outputs produced by mass spectrometers, (3) causal and counterfactual inference of regulatory events among the analytes. The lab develops open-source software and educational materials, that are broadly used in academia and industry. These include MSstats (relative quantification of proteins in mass spectrometric experiments) and Cardinal (analysis of mass spectrometric images). The lab is the lead organizer of the educational event May Institute on Computation and Statistics for Mass Spectrometry and Proteomics.
Work in the lab has been recognized with the Chan Zuckerberg Essential Open Source Software for Science Award, with the Gilbert S. Omenn Computational Proteomics Award of the US Human Proteome Organization, with the Excellence in Research and Creative Activity Award of Northeastern University, and with the National Science Foundation CAREER Award.
Vitek is a Fellow of the American Statistical Association, a Senior Member of the International Society for Computational Biology, and an Elected Member of the Council of Human Proteome Organization (HUPO) and of the Board of Directors of USHUPO. She is Associate Editor of the journal Bioinformatics, and a member of the Editorial advisory board of Molecular and Cellular Proteomics and of Journal of Proteome Research. She is President of the Boston Chapter of the American Statistical Association.
