As Vice President, Head of Data Science, Tim drives the development of unique approaches to high-dimensional big data analytics in support of the Market Intelligence needs of our clients.
Tim is a statistician and computational biologist with 13 years of experience in informatics and robotics in support of ultra-high throughput drug discovery, 14 years of experience in preclinical biomedical research, and 4 years of experience translating this into the health care informatics domain.
Tim has an extensive publication record and has received industry awards. He has been an invited speaker in health care informatics conferences. Tim’s master’s thesis focused on the application of random subspace ensembles of artificial neural networks in the prediction of drug-target interactions.
- MS in Applied Statistics from West Chester University of Pennsylvania
- BA in Biology from Earlham College
Areas of Expertise
- Machine learning
- Deep learning
- Sparse high-dimensional pattern recognition