Our lab uses computational modeling and wet-lab experimentation in a broad portfolio of research projects in applications of regenerative medicine, cancer biology, immunoengineering, cellular manufacturing and precision medicine. A common thread among our projects is the development of new computational approaches for studying collective behavior in multicellular systems and the role of metabolism in influencing cellular  fate decisions in response to external cues. Please read more about our various projects below.


Sarah Seals has been named one of 8 Georgia Tech Sloan Graduate Fellows for 2017 based upon her academic and research record! Sarah will receive a stipend bonus and professional development funds for the next 3 years (thus the remainder) of her PhD! Congratulations on this honor!


Melissa is a guest on the WREK 91.1 radio station show "Inside the Black Box", describing the lab's research to the metro Atlanta listeners.


Joshua Lewis received a Young Investigator travel award to attend the Society for Redox Biology & Medicine annual meeting. In addition, his abstract "Genome-scale modeling of NADPH metabolism in radiation-resistant head and neck squamous cell carcinoma patients" was selected for an oral presentation. Way to go, Josh!


Our collaborative project with co-PIs Cristina Furdui (Wake-Forest) and Dave Boothman (UTSW) has been awarded a 5 year U01 from NCI to develop predictive models of chemotherapeutic responses in head and neck cancer.

Lewis J.E., Costantini F., Mims J., Chen X., Furdui C., Boothman D.A., Kemp M.L. “Genome-scale modeling of NADPH-driven β-lapachone sensitization in head and neck squamous cell carcinoma”. Antioxidant Redox Signaling. doi:10.1089/ars.2017.7048, 2017.

Kniss-James, A.S., Rivet, C.A., Chingozha, L., Lu, H., Kemp, M.L. “Single-cell resolution of intracellular T cell Ca2+ dynamics in response to frequency-based stimulation”. Integrative Biology, DOI: 10.1039/C6IB00186F, 2017.

Prasanphanich, A.F., White, D.E., Gran, M.E., Kemp, M.L. “Kinetic Modeling of ABCG2 Transporter Heterogeneity: A Quantitative, Single-Cell Analysis of the Side Population Assay”. PLoS Computational Biology, Nov 16;12(11):e1005188, 2016.