Search

My research has focused on the development of novel statistical and bioinformatic methodologies that facilitate the study of translational research questions in cancer genomics and immuno-oncology.

… My research has focused on the development of novel statistical and bioinformatic methodologies that facilitate the study of translational research questions in cancer genomics and immuno-oncology. I developed several algorithms including iCluster and FACETS that are widely used in research community

The Romesser lab studies colorectal and anal cancer with a focus on using radiotherapy to treat disease.

… Research of the Paul Romesser Laboratory focuses on three main concepts. First is the characterization of the processes of senescence. This includes senescence-associated secretory phenotype (SASP) induction and tumor microenvironment (TME) remodeling in response to radiation. Similarly, we seek to investigate

The Reznik Lab studies metabolic and mitochondrial dysfunction in cancer through analysis of multimodal genetic, metabolomic, and clinical data.

… The Reznik Lab studies metabolic and mitochondrial dysfunction in cancer through analysis of multimodal genetic, metabolomic, and clinical data. We use computational tools to address a basic question: how do tumors adapt their metabolism, the process by which they obtain energy and nutrition from the

The Aviram Lab investigates the molecular mechanisms that protect microorganisms from their own pathogenic invaders.

… Like any other organism, bacteria are constantly exposed to pathogenic threats, such as viruses and plasmids. The Aviram Lab is interested in understanding how bacterial cells protect themselves from invaders, focusing particularly on the CRISPR-Cas adaptive immune system. CRISPR-Cas systems have a remarkable

Biostatistician Colin Begg has research interests spanning cancer epidemiology and statistical methods that are applicable to clinical research more broadly.

… Dr. Begg has research interests spanning cancer epidemiology and statistical methods that are applicable to clinical research more broadly. In recent years Dr. Begg has been developing methods to identify etiologically distinct cancer sub-types, statistical tests of clonal relatedness of pairs of tumors

The Sheu-Gruttadauria Lab investigates how biomolecular condensates and biological phase transitions shape gene expression in physiology and disease.

… The Sheu-Gruttadauria Lab asks fundamental questions about how the cell organizes gene expression. We are particularly interested in biomolecular condensates, a class of membraneless cellular compartments that concentrate factors involved in nearly every step of RNA metabolism from transcription to decay

Immunology Program Chair Alexander Rudensky focuses on immunological tolerance and the differentiation and function of T cells.

… Our research is focused on understanding the molecular mechanisms governing the differentiation and function of CD4 T lymphocytes and their role in immunity and tolerance.  Major areas of interest include: the molecular and cellular mechanisms governing the differentiation and function of regulatory

The Vierbuchen laboratory directs the differentiation of mouse and human pluripotent stem cells to characterize fundamental mechanisms of neuronal cell fate specification and function.

… The Vierbuchen laboratory seeks to elucidate fundamental mechanisms governing the production of the myriad neuronal cell types required to build functioning neural circuits. To model these dynamic developmental processes, we direct the differentiation of mouse and human pluripotent stem cells into specific

Molecular Pharmacology Program Member David Scheinberg focuses on the discovery and development of novel, specific immunotherapeutic agents and targeted nanodevices for cancer therapy.

… The overall goals of this laboratory are to develop novel targeted immunotherapies based on effectors of the immune system and to understand their mechanisms of action as well as the mechanisms of resistance to them. This includes antibodies, targeted nano-devices, engineered cells, and active specific

We take real-world data, clean it and use it to discover new predictive biomarkers to guide cancer management (often with AI), and then implement these findings in clinical practice.

… AI and real-world data are alluring tools, which may transform the practice of oncology. But the integration and application of these tools to cancer research and clinical care has to improve at every step before they can meaningfully improve the lives of patients.  To develop useful biomarkers, we need