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Mallick Lab focuses on translating multi-omic discovery into precision diagnostics. The lab employs integrative, multi-omic approaches to model processes that govern proteome dynamics and utilizes these models to discover cancer biomarkers and their underlying mechanisms. The latest research includes significant contributions such as ProteoWizard published in Nature Biotechnology, investigations into cell squishiness and sliminess in relation to metastatic potential in PNAS, exploring drug resistance mediated by epigenetics in Genome Medicine, and advancements in SWATH MS Libraries as detailed in Nature Protocols.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.