I'm a 2nd-year graduate student in Biological Engineering at the Massachusetts Institute of Technology. I work with Professor Forest White on phosphoproteomics applied to diabetes and cancer.
MAPK Substrates in Cancer and Diabetes
The mitogen-activated protein kinases (MAPKs) are involved in signal transduction downstream of stress and growth factors. Activation of JNK in a critical event in development of type II diabetes, and activation of ERK is involved in both diabetes and cancer. I am combining mass spectrometry a chemical genetics strategy, developed by Kevan Shokat, to identify substrates of these kinases.
Using the combination of informatics and high-throughput experiments to identify clinically relevant diagnostics. I worked with Dr. Harvey Cohen at Stanford to identify blood biomarkers for Kasawaki disease, monitor juvenile arthritis, and identify premature infants at risk for common disorders.
High-throughput experiments in proteomics and genomics have required a range of new statistical methods. Protein measurements are often strongly correlated, and correlated variables interfere with most of the statistical analyses. I applied clustering methods as a form of data-reduction to reduce problems introduced by correlated proteins.
I worked with Dr. Leonid Kruglyak and Dr. Elaine Ostrander on study of genetic variability among pure-breed dogs. This work was published in Science (see the CV).
I'm a graduate student adviser for MIT's undergraduate team for the International Genetically Engineered Machines competition. See the iGEM website or our team wiki for more information.
Download my CV here.