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I am a Ph.D. statistician with experience in a few different domains: pharmaceutical non-clinical statistics, molecular diagnostic R&D, assay development, manufacturing support/Six Sigma and clinical statistics (in order of my interests).

I have worked both as an individual contributor as well as directing moderate sized groups (currently 2 people, 12 previously).

I prefer problems where creativity is a key to problem solving. For example, predictive modeling (i.e. machine learning) is an area where traditional statistics may be limiting; as long as you can prove that a solution performs well, any idea is on the table.

Complex problems interest me. A friend once remarked that I thrive on making order out of chaos and, to some extent, this is true. One of the most overlooked skills in these situations is the ability to remained focused on the core objective. This is especially true when we have as access to large amounts of data.

Specialties: Predictive modeling/machine learning/pattern recognition | Computational biology and chemistry | High dimensional biology |
The design and analysis of experiments

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