Dr. Bartek Rajwa

Professor

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Biography

Bartek Rajwa is a Research Professor at the Bindley Bioscience Center of Purdue University. His research focuses on high-throughput cytometry, high-content imaging, and biological image analysis. He specializes in biological pattern recognition, bioinformatics, and the application of statistical machine learning in cell biology, neuroscience, and agriculture. Rajwa's work aims to integrate emerging omics fields to define biological functions encoded by genes within sequenced genomes, as well as to predict the effects of environmental perturbations and pharmaceuticals on phenotypes. He emphasizes the importance of data science in merging diverse omic inputs to create predictive statistical models. His approach combines applied mathematics, computer science, and machine learning to analyze complex phenotypic patterns through quantitative single-cell analysis, addressing issues such as automated phenotype classification from incomplete and noisy data. Rajwa has contributed to the development of new technologies in biological data science and automated clinical flow cytometry analysis, co-inventing significant innovations such as multispectral flow cytometry. His work has implications across various fields, including clinical cytometry, drug discovery, toxicology, and agricultural engineering.

Research Interests

Experience

Research Professor

2010-08-01 — Present

Bindley Bioscience Center • West Lafayette, IN

Conduct research on high-throughput cytometry and biological image analysis, focusing on machine learning applications.

Requirements for Purdue University

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:100
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
Duolingo
Overall Score
Required:135
Overall
Required:135
Prerequisites
Bachelor's degree in CS or related field Foundational concepts of computer science Data structures Computer architecture Operating systems Mathematics through differential equations Linear and matrix algebra
Application Checklist
  • Official Transcripts
  • Academic Statement of Purpose
  • Personal History Statement
  • Resume
  • Three Letters of Recommendation
  • CS Supplementary Form
Specialization Notes

GRE is not required.