Experienced scientist with expertise developing advanced computational algorithms in biology, chemistry, and physics. Proven ability to provide scientific and technical leadership, and deliver innovative solutions and product features. Experienced working in interdisciplinary and cross-functional settings in collaboration with domain scientists and software engineering teams. Recent projects involve biological interpretation of genomic and gene-expression data, network algorithms, ontology-derived pathway models, and statistical genetics. Interests: predictive modeling of biological systems, gene-regulatory networks, statistical and biological physics, machine learning, data analysis and visualization, computer science and software design patterns. Skilled programmer with extensive software development experience in Python and C including scientific computing using Numpy, Scipy, Pandas, scikit-learn, and Matplotlib libraries.
Listed skills include Computational Biology, Systems Biology, Bioinformatics, Machine Learning, and 21 others.