Our Team CSBIO
About the CSBIO Lab
Recent developments in biotechnology have enabled quantitative measurement of diverse cellular phenomena. For instance, microarray technology allows biologists to measure the expression of all genes in the genome on a single chip. Other technology allows high-throughput measurement of physical interactions between proteins, which are an important mechanism behind most cellular processes. These recent developments have generated an unprecedented amount of data for several different organisms. These data promise to revolutionize our understanding of biology, but integrating information across several noisy, heterogeneous datasets to derive holistic models of the cell requires sophisticated computational approaches.
Our research focuses on machine learning approaches for integrating diverse genomic data to make inferences about biological networks. The main purpose of our work is to further our understanding of gene function and how genes or proteins interact to carry out cellular processes.
Lab Members
Past Lab Members
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Benjamin VanderSluis
Post-Doc
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Henry Ward
Ph.D. Student
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Xiaotong Liu
Ph.D. Student
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AHM Mahfuzur Rahman
Ph.D. Student
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Maximilian Billmann
Post-Doc
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Justin Nelson
Ph.D. Student
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Jean-Michel Michno
Ph.D. Student
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Scott Simpkins
Ph.D. Student
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Elizabeth Koch
Ph.D. Student
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Rob Schaefer
Ph.D. Student
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Trina Kruiger-Laber
Master's Student
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Carles Pons
Post-Doc
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Yungil Kim
Post-Doc
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Raamesh Deshpande
Ph.D. Student
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Stephanie DiPrima
Master's Student
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Roman Briskine
Ph.D. Student
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Jeremy Bellay
Post-Doc
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Colin Pesyna
Member
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Avantika Chaudhary
Member
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Tahin Syed
Member
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Joshua Baller
Ph.D. Student
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Joe Jeffers
Undergraduate Researcher
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Bill Busch
Researcher
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Cici Xu
Undergraduate Researcher
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Michael Albrecht
Undergraduate Researcher
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Eric Schultz
Undergraduate Researcher
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Nathaniel Budijono
Undergraduate Researcher