I am interested in machine learning in biomedical domains. My undergraduate and master's degrees are in Computer Science, where I focused on machine learning methods. Now, I'm working on multi-view learning to predict survival outcomes in cancer.
With Yulia Newton, I'm working on an R package for overlapping group LASSO. We would like to be able to use LASSO with pathway analysis.
My favorite project. Using multiple, redundant, views to help with survival predictions in different cancer types. Currently I'm focusing on imaging and genomic data in TCGA GBM.
We identified pathways relevant for metastatic site prediction in prostate cancer, using multi-class linear predictors.
A poster of our method for the DREAM challenge, presented at the PBSE recruitment event.
I presented my rotation project in Ed Green's lab, on converting MIA to SAM format and the importance of aligners specifically for ancient DNA.