734-615-0280

Applications:
Bioinformatics, Biological Sciences, Clinical Research, Epidemiology, Genomics
Methodologies:
Artificial Intelligence, Data Mining, Deep Learning, Heterogeneous Data Integration, High-Dimensional Data Analysis, Image Data Processing and Analysis, Machine Learning, Predictive Modeling, Statistics
Relevant Projects:

NCI Biology of Prostate Cancer Skeletal Metastases;


Evan Keller

Professor of Urology and Pathology

Urology


Affiliation(s):

Pathology; Unit for Laboratory Animal Medicine

Our laboratory focuses on (1) the biology of cancer metastasis, especially bone metastasis, including the role of the host microenvironment; and (2) mechanisms of chemoresistance. We explore for genes that regulate metastasis and the interaction between the host microenvironment and cancer cells. We are performing single cell multiomics and spatial analysis to enable us to identify rare cell populations and promote precision medicine. Our research methodology uses a combination of molecular, cellular, and animal studies. The majority of our work is highly translational to provide clinical relevance to our work. In terms of data science, we collaborate on applications of both established and novel methodologies to analyze high dimensional; deconvolution of high dimensional data into a cellular and tissue context; spatial mapping of multiomic data; and heterogenous data integration.