4D+ Genome Lab

Data Guided Control


The work in our lab is focused on the dynamics of genome organization in human cells, with emphasis on gaining a deeper understanding of how the cell cycle guides cell fate determination. We are developing genomic and imaging technologies for determining the natural dynamics of the cell cycle and building a data guided mathematical foundation. Our long term goal is to develop strategies for direct reprogramming of normal and abnormal cells

Principal Investigator: Indika Rajapakse (Computational Medicine and Bioinformatics, Mathematics)
Lab manager: Walter Meixner
Postdocs: Haiming Chen, Geoffrey Patterson (Computational Medicine and Bioinformatics)
Ph.D. students: Laura Seaman, Scott Ronquist, Stephen Lindsly (Computational Medicine and Bioinformatics)


Fall 2017 Bioinformatics 540 / Math 540: Mathematics of Biological Networks (PDF)


Harvard University
University of California, Berkeley
Smale Institute of Mathematics and Computation


Diversity and Complexity of Biological Networks
The National Institute of Diabetes and Digestive and Kidney Diseases
Defense Advanced Research Projects Agency


Data-Guided Control
Spectral identification of topological domains (TADs)
Genome Imaging Analysis

Contact Information

Department of Computational Medicine & Bioinformatics
1600 Huron Parkway
NCRC Building 520,
Rm. 3392
Ann Arbor, MI 48105