Bartek's Home Page

Current position and expertise

Bartek Rajwa is a Research Associate Professor in the Bindley Bioscience Center at Purdue University where he is conducting studies on high-throughput cytometry, high-content imaging, biological image analysis, biological pattern recognition, and applications of statistical machine learning in cell biology, cancer research, and bioengineering.

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Research

In the advent of the $1000 genome-sequencing era, personalized medicine becomes a realistic objective. Consequently, one of the most important programmatic goals in biology is the integration of emerging “–omics” fields in order to define the biological functions of the genes encoded in each sequenced genome. This will lead to reconstruction and understanding of the complex networks of functional interactions that define cellular systems. An important missing link in this program is the correlation of the diverse “–omic” information (genomics, proteomics, metabolomics, etc.) with its actual phenotypic manifestation. Although historically informatics has played an important role in delivering tools to mine genomic data, the extremely high dimensionality of phenotypic information requires innovative computational approaches. This cutting-edge area of research is referred to in the recent literature as phenomics. Dr. Rajwa’s expertise is in this emerging research field, integrating a variety of linked technologies from flow cytometry through biological imaging to proteomics and functional genomics. The unifying theme for phenomics is an integrated study of the functional role of cellular systems via quantitative mathematical description of their phenotypes. The research in which Dr. Rajwa is involved employs applied mathematics, computer science, and machine learning to decipher and interpret complex phenotypic patterns observed via quantitative cell analysis. The projects led by Dr. Rajwa addressing the issues of automated classification of phenotypes in the presence of incomplete and/or noisy information have direct and profound impact of the fields of high-content screening, clinical cytometry (hematology, immunology and oncology), drug discovery, toxicology, biosecurity and biosurveillance. Dr. Rajwa and his co-investigators proposed key new technologies for the area data science and data mining, including automated pipelines for clinical flow cytometry data analysis, microorganism identification algorithms, and spectral information processing approaches. The contributions by Dr. Rajwa are not limited to the area of data processing and algorithm developments. He has been also involved in invention and development of two breakthrough hardware technologies: multispectral flow cytometry (licensed by Sony Biotechnology, Inc.), and elastic light scatter microorganism identification system (licensed by Hettich GmbH & Co.K).

Page updated on 2017-09-15 17:53:13 -0400

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Contact / Office address

Bartek Rajwa
Bindley Bioscience Center
Room 212
1203 W. State Street
West Lafayette, IN 47907
Phone: 765 496-1153
brajwa@purdue.edu

Purdue University, 610 Purdue Mall, West Lafayette, IN 47907, (765) 494-4600

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