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.

Chad Myers
Principal Investigator

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Maximilian Billmann
Post-Doc

Hamid Safizadeh
Ph.D. Candidate

Wen Wang
Ph.D. Candidate

Scott Simpkins
Ph.D. Candidate

Justin Nelson
Ph.D. Candidate

Jean-Michel Michno
Ph.D. Candidate

AHM Mahfuzur Rahman
Ph.D. Student

Timothy Kunau
Ph.D. Student

Xiaotong Liu
Ph.D. Student

Henry Ward
Ph.D. Student

Joe Jeffers
Undergraduate Researcher

Bill Busch
Researcher

Cici Xu
Undegraduate Researcher

Elizabeth Koch
Former Ph.D. Student

Rob Schaefer
Former Ph.D. Student

Trina Kruiger-Laber
Former Masters Student

Kevin Lin
Former Rotation Student

Carles Pons
Former Post-Doc

Benjamin VanderSluis
Former Ph.D. Student

Yungil Kim
Former Post-Doc

Raamesh Deshpande
Former Ph.D. Student

Stephanie DiPrima
Former Masters Student

Roman Briskine
Former Ph.D. Student

Jeremy Bellay
Former Member

Colin Pesynay
Former Member

Avantika Chaudhary
Former Member

Tahin Syed
Former Member

Joshua Baller
Former Ph.D. Student