Faculty

Michael Krauthammer

Michael Krauthammer

Associate Professor of Pathology

My research is in biomedical informatics/computational biology. Analyzing Omics data to unravel the molecular basis of disease (focus:skin cancer), and to identify diagnostic and predictive biomarkers. Using natural language processing (NLP) techniques to extract problem-specific information from scientific articles or medical reports.

Postdoctoral Fellows

Samah Fodeh

Ana Capatana

Perry Evans

I analyze exome and RNA sequence data from melanoma tumors to find mutations driving cancer.

Tobias Kuhn

I am working on text/image mining, the Semantic Web, knowledge representation, machine learning, controlled natural languages, and computational linguistics.

Graduate Students

Matt Holford

Mate Nagy

Mark Mai

Staff

Jim McCusker

Programmer Analyst

My research is in distributed computing, including parallel and grid models, as well as scaling semantic web data systems.

Applied Mathematics

Paolo Emilio Barbano

Yale University & University of Cambridge

Scientific Computing, Efficient Algorithms,
Adaptive Statistical Algorithms,
Applied & Discrete Harmonic Analysis, Signal Processing,
Large Scale Computational Methods

 

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