I'm a postdoctoral fellow at the Center for Quantitative Medicine at UConn Health.
My research is focused on creating data-validated models of biological processes ranging from the molecular to the tissue scale.
My Ph.D. research was concentrated on developing partial and ordinary systems of differential equations to model the dynamic interaction between a tumor and its microenvironment. I still actively collaborate in this field.
For a little more information, see below.
Research at CQM
(1) Development of logical and continuous models of
- Combination cancer immunotherapy (in collaboration with the Vella and Adler groups in the Department of Immunology at UConn Health).
- Iron-oncogene interactions in ovarian cancer (in collaboration with the Torti group in the Department of Molecular Biology and Biophysics at UConn Health).
(2) Development and utilization of dimension reduction, statistical learning, and topological methods for analysis of 'big data' in biology stemming from high-throughput technologies.
(04/18) 'Contribution of three-dimensional architecture and tumor-associated fibroblasts to hepcidin regulation in breast cancer' with co-authors Nicole Blanchette-Farra et al. published in Oncogene.
(12/17) 'Activation of the HGF/c-Met axis in the tumor microenvironment: A multispecies model' with co-author John Lowengrub published in the Journal of Theoretical Biology.
(7/17) 'Three-Dimensional Spatiotemporal Modeling of Colon Cancer Organoids Reveals that Multimodal Control of Stem Cell Self-Renewal is a Critical Determinant of Size and Shape in Early Stages of Tumor Growth', with co-authors Huaming Yan and John Lowengrub published in the Bulletin of Mathematical Biology.
(6/17) 'Addressing current challenges in cancer immunotherapy with mathematical and computational modeling', with co-authors Anthony Vella, Adam Adler, and Reinhard Laubenbacher in the Journal of the Royal Society Interface.
(2/17) Honored to be the recipient of the NIH F32 postdoctoral fellowship! See more details of the project.