Bartek Rajwa has more than 25 years of experience in single-cell analysis, including imaging and flow cytometry. He is a Associate Research Professor of Computational Life Sciences in the Bindley Bioscience Center at Purdue University, where he is conducting studies on the technologies of biological pattern recognition, high-throughput cytometry, high-content imaging, biological-image analysis, and applications of statistical machine learning in cell biology, cancer research, and neuroscience. Dr. Rajwa’s studies employ mathematical models to decipher and interpret complex phenotypic patterns observed via quantitative cell analysis. Working with collaborators, Dr. Rajwa developed new technologies for biological data science, including automated pipelines for clinical flow cytometry analysis, microorganism identification algorithms, and spectral information processing approaches for fluorescence and Raman cytometry. He has also been a co-inventor of two breakthrough hardware technologies: multispectral flow cytometry (licensed by Sony Biotechnology and by Propel Labs.) and elastic light scatter microorganism identification system. Dr. Rajwa is also an Associate Editor of Cytometry Part A (the official journal of the International Society for Advancement of Cytometry), where he is responsible for this journal’s computational cytometry and imaging content.