Cancer Research Day Purdue University Center for Cancer Research



Dr. Nadia Lanman


Research Assistant Professor of Comparative Pathobiology

Manager of the C3B, Purdue University Center for Cancer Research


Twitter: @NadiaAtallah1

Dr. Lanman is a research assistant professor in the Department of Comparative Pathobiology at Purdue University.  Dr. Lanman received her Bachelor’s degree in Biochemistry from Purdue University in 2011 and a PhD in Plant Biology in 2015.  During her time in graduate school, Dr. Lanman became increasingly interested in bioinformatics and computational biology.  In 2015, Dr. Lanman took a position with the Purdue University Center for Cancer Research, directing the Computational Genomics Shared Resource (CG-SR) and managing the Purdue side of the Collaborative Core for Cancer Bioinformatics (C3B), a joint bioinformatics core shared between IU and Purdue.  Dr. Lanman’s work at the cancer center focuses on managing the bioinformatics core, training, and data analysis.  Dr. Lanman is interested in utilizing large genomics datasets to expand our knowledge of the molecular basis of cancer as well as immune and inflammatory diseases.  Dr. Lanman is particularly interested in data integration and in performing causal inference utilizing large -omics datasets.


Dr. Min Zhang


Professor of Statistics

Associate Director of Data Science, Purdue University Center for Cancer Research


Dr. Zhang is a professor in the Department of Statistics at Purdue University. After receiving her MD and PhD in Neurophysiology, Dr. Zhang got interested in data analytics and obtained her second PhD from the Department of Biological Statistics and Computational Biology at Cornell University. She joined the Department of Statistics at Purdue as an assistant professor in 2005 and has focused her research on developing new statistical methods for high-dimensional data. Motivated by large-scale omics data in biomedical research, she has developed a series of methodologies in integrative analysis of multi-omics data with clinical information. These methods have been applied to biomarker identification, disease risk assessment, genome-wide association studies, survival time prediction, gene regulatory network construction in cancer, neurodegenerative disorders, and other common complex diseases.


Dr. Pavlos Vlachos


Director, Regenstrief Center for Healthcare Engineering

Dr. Vlachos is professor in the School of Mechanical Engineering at Purdue. Dr. Vlachos received his Diploma in Mechanical Engineering from the National Technical University of Athens (1995) and his MS (1998) and PhD (2000) in Engineering Science and Mechanics from Virginia Tech. He joined the department of Mechanical Engineering at Virginia Tech as assistant professor (2003) and he was promoted to associate (2007), and full professor (2011). In August 2013 he joined the School of Mechanical Engineering at Purdue. His research focuses on fluid mechanics specializing on flow diagnostics using optical or other non-intrusive methods. Currently his main interests are in biofluids, arterial flows, heart failure, medical imaging, drug delivery; and tissue and tumor micro-environments.


Dr. Ananth Grama


Samuel D. Conte Professor of Computer Science

Ananth Grama is a Professor in the Computer Science Department and Associate Director of the Center for Science of Information, a Science and Technology Center of the National Science Foundation. His research interests are in broad areas of parallel and distributed computing, large scale data analytics, with applications in interactomics, transcriptomics, and more recently, clinical data.



John Fry

Operations Manager

Purdue University Center for Cancer Research