I am an experienced PhD mathematical modeler with twenty years of
experience in building, validating, and simulating fit-for-purpose
models specifically in the areas of oncology and immuno-oncology. I
have extensive expertise in sensitivity analysis, uncertainty
quantification, model selection, solving optimization problems, and
proposing model-informed experimental design recommendations. I have
published high impact work on treatment resistance, virtual
populations, identifying optimally synergistic combination therapies,
and minimally sufficient experimental design.
I
received my undergraduate degree in Mathematics with a minor in Biology
from Rutgers University. My Ph.D. in Applied and Computational
Mathematics was done under the supervision of Dr. Salvatore Torquato at
Princeton University. If interested, you can learn a bit more about me on the Mathematical Oncology Interviews page.