Adarsh Kumbhari

Applied Mathematician, University of Sydney

I'm a math biologist interested in developing realistic mathematical and computational models of biological systems, that can provide novel, experimentally verifiable insights. I model cancer treatments and cell systems using whatever tool is appropriate for the problem at hand (which often means a combination of ODEs, ABMs, and PDEs). Later this year I'll be moving to the Smillie Lab as Postdoctoral Associate.

Publications

  1. Kumbhari, A., Rose, D., Lee, P.P., & Kim, P.S. (2021). A minimal model of T cell avidity may identify subtherapeutic vaccine schedules. Mathematical Biosciences, doi: 10.1016/j.mbs.2021.108556.
  2. Kumbhari, A., Ghosh, S., Kim, P.S., & Rajagopal, V. (2020). An in-silico study to determine whether changes to mitochondria organization through engineered mitochondrial dynamics can enhance bioenergetics in cardiomyocytes. BioRxiv, submitted, doi: 10.1101/2020.09.21.307306.
  3. Kumbhari, A.*, Egelston, C.A.*, Lee, P.P., & Kim, P.S. (2020). Mature dendritic cells may promote high avidity tuning of vaccine T cell response. Frontiers in Immunology, doi: 10.3389/fimmu.2020.584680. (*Co-first authors.)
  4. Kumbhari, A., Kim, P. S., & Lee, P. P. (2020). Optimisation of anti-cancer peptide vaccines to preferentially elicit high-avidity T cells. Journal of Theoretical Biology, doi: 10.1016/j.jtbi.2019.110067.

Current Research

Cancer vaccines

The immune system can be modulated to kill cancer cells. I look at how vaccines can be leveraged to achieve this.

PD-1/PD-L1 regulation

PD-L1 is a molecule upregulated by tumours that inhibits immune activity. I study how this cross-talk shapes the overall immune response.

Mitochondrial dynamics

Mitochondria are the powerhouse of the cell and when things go awry the results are bad. I examine how the organisation of mitochondria in the heart affects cardiac performance.

Gut microbiome

The gut microbiome, when disturbed, can lead to disease. However, our understanding of how microbiome-tissue interactions give rise to disease remains incomplete. I develop mathematical models and computational tools to identify interactions between the microbiome, human tissues, and disease.

CV

For more details, my CV is available here.