Presentations
Oral Presentations
Scalable subclonal reconstruction of cancer cells via penalized likelihood
RECOMB Satellite on Computational Cancer Biology (RECOMB-CCB)
Subclonal mutation load predicts survival and response to immunotherapy in cancers with low to moderate TMB
Baylor College of Medicine Graduate School Symposium
MD Anderson Allison Institute Colin Stroud Hackathon
Team Lead, Niche Navigators — 5th place at this computational oncology team competition
Posters
Subclonal mutation load predicts survival and response to immunotherapy in cancers with low to moderate TMB
American Association for Cancer Research (AACR)
TmiS: A Prognostic Indicator for Prostate Cancer Survival Based on Total Tumor Cell miRNA Levels
Leading Edge Cancer Symposium
DeMixMir: Deconvolution of microRNA sequencing data from heterogeneous tumor samples
American Association for Cancer Research (AACR)
Estimating total tumor-specific microRNA content in human tissues using computational deconvolution
American Society of Human Genetics (ASHG)
Integration of tumor-specific miRNA and mRNA using computational deconvolution methods
Research in Computational Molecular Biology (RECOMB)
The impact of multiple sclerosis disease status and subtype on hematologic profile
ASM
Contribution of known risk variants to multiple sclerosis age of onset
ASM
Effect of genetic variants associated with uric acid on multiple sclerosis: a Mendelian randomization study
ASM