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Ken adds robust computing and database experience and emphasizes the coordination of his work with multi-disciplinary scientific efforts. He earned his B.S. in Electrical Engineering from Yale University and Ph.D. from U.C. Berkeley and has worked for biotech and pharma, both as an employee and consultant. Ken has coordinated biological sample profiling and data reconciliation and served as a liaison to cardiovascular, immunology, and cancer research. His utility-focused approach to software development provides Knowledge Synthesis with exceptional and uniquely powerful data analysis infrastructure facilitating both customer projects and in-house research. His published work includes articles on computational biology, pathway analysis, multiple sclerosis, interferon research, and oncology targets.