My research interests lie primarily in the modeling of infectious diseases, both on the molecular level (using approaches from computational and systems biology) as well as on the population level (using approaches from epidemiology and biostatistics). I am particularlly interested in the interactions between science, medicine and policy as they relate to improving patient outcomes, especially in low-income, low-resource settings.
I hold a PhD in Applied Mathematics from MIT and a BSc in Mathematics and Computer Science from McGill University. My doctoral work focused on metabolic models of tuberculosis (TB). I have been working in Ted Cohen's group since September 2012. I recently submitted a paper on a joint model of the TB and HIV epidemics in Southern Africa and I am currently working on identifying mixed TB infection in a population.
Between my PhD and my postdoctoral fellowship I worked as a computational biologist at Pfizer, developing methods for interpreting gene expression, genetic and metabolomic data using a large network of known biological relationships. I also spent some time working at the Massachusetts General Hospital and the Clinton Health Access Initiative.
News My latest paper, “An exact arithmetic toolbox for a consistent and reproducible structural analysis of metabolic network models”, is out in Nature Communications!
Key findings We show that a lot of previously published analyses of metabolic network models suffer from consistency or reproducibility issues due to the use of floating-point numbers (an inexact, approximate representation) to describe them. We develop an alternative approach, which uses an exact representation of these models, and find that our results differ significantly from those of previous work. In particular, many of the models end up having far less functionality than previously thought.