The research at our group at UMKC focuses on cancer genomics and computational biology. We create and apply innovative computational approaches to understand the underlying genetics and the molecular biology of human cancers using high-throughput data. The lab is devoted to solving complex problems in cancer research through innovation at the interface of multiple disciplines.
The laboratory's primary focus is understanding how cancer evades various treatments and uses this understanding to innovate precision oncology strategies to address the overarching challenge of therapeutic resistance. Deep molecular profiling of cancer genomics has identified molecular subtypes with distinct clinical trajectories and responses to therapeutics. As researchers begin searching for more precise treatments, quantitative researchers play important roles in dissecting the cellular and molecular heterogeneity that enables cancer to resist current treatments. To this end, we actively promote the role of quantitative scientists and work closely with biologists and physicians, particularly as a part of the personalized cancer care. We are particularly interested in developing novel artificial intelligence and machine learning approaches to address challenges in multi-omic data research for comprehensive molecular profiling of cancer.
Dr. Zeeshan’s lab is dedicated to training students from diverse disciplines and backgrounds.