Faculty – Computational Oncology

Chief, Member

Cancer evolution, single cell technology, probabilistic modeling, ovarian and breast cancer

Member

Cancer genomic alterations, computational methods, precision oncology

Associate Member

Immune-driven evolution of tumors and viruses, computational immuno-oncology, cancer immunotherapies

Associate Member

Systematic genome profiling, statistical modeling, clonal heterogeneity tracking

Assistant Member

Computational cancer metabolism and mitochondrial genomics

Assistant Member

Sequencing analysis, computational methods, combinatorial optimization

Assistant Member

Translational applications of machine learning, statistical modeling, computational methods

Assistant Member

Machine learning, probabilistic modeling, causal inference, personalized medicine, cancer genomics, dose-response modeling, combination therapies

Assistant Member

Cancer genetics and genomics, germline-somatic interaction in multi-ethnic populations

Assistant Member

Cell fate dynamics, somatic evolution, single-cell genomics, RNA metabolism, statistical modeling and machine learning