Jesse Ehrenfeld, M.D, MPH
My interests within bioinformatics include: learning and perioperative systems design, real-time decision support via pragmatic applications of process monitoring & control, and the development/application of perioperative risk models and outcomes measures.
Carlos F. Lopez, PhD
Develop a mechanistic understanding of molecular cell-decision processes using theory and computation at the chemistry, physics, biology, and informatics interfaces. The main goal is to explain and predict cell-population phenotypic outcomes from intrinsic or extrinsic perturbations.
Jens Meiler, PhD
Research in our laboratory seeks to fuse computational and experimental efforts to investigate proteins, the fundamental molecules of biology, and their interactions with small molecule substrates, therapeutics, or probes. We develop computational methods with three major ambitions in mind. A) To enable protein structure elucidation of membrane proteins the primary target of most therapeutics and large macromolecular complexes such as viruses; B) Design proteins with novel structure and/or function to explore novel approaches to protein therapeutics and deepen our understanding of protein folding pathways. C) Understand the relation between chemical structure and biological activity quantitatively in order to design more efficient and more specific drugs.
Warren S. Sandberg
Research interests include: operations research approaches to optimize allocation of scarce resources such as OR time; pooling of data from disparate sources to create holistic assessments of faculty and clinician performance; near-real time clinical decision support delivered to the point of care to improve patient outcomes; operations improvement approaches to patient flow.
Paul St. Jacques
Perioperative informatics, decision support and enhancing quality improvement processes with informatics related tool
Jonathan P. Wanderer, MD, MPhil
Anesthesiology and informatics. Current work includes analysis of large perioperative datasets, development of risk prediction models, and creating automated systems for identifying high risk patients and tracking patient outcomes.
Jeremy Warner, MD, MS
Developing new informatics tools and methods to extract and visualize clinical cancer data. Current research focuses on using text mining to determine reasons for chemotherapy discontinuation, high-dimensional visualization of cancer genomic data, and development of standards to represent and transmit genomic and other cancer-related data.