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Interests

As my PhD research indicates, I am interested in approaching biomedical problems from a rigorous scientific standpoint. I believe that the key to closing the many gaps in our knowledge of biology and medicine will come from application of logic and methodology that stems from other sciences and engineering. With our modern ability to collect large-scale data from biological systems, I think key advancements will come from machine learning methods and discovery from data. My primary interest is in continuing to push our ability to make discoveries from data and applying these methods to issues at the forefront of modern human needs.

Let's talk if you have interesting and challenging problems that can be solved by advanced discovery from data.

Hobbies

My hobbies include outdoor many activities (climbing, biking, hiking, skiing, running, etc.), remote control cars and helicopters, and board games.

Publications

P. Sankaranarayanan,* T. E. Schomay,* K. A. Aiello, and O. Alter, "Tensor GSVD of Patient- and Platform-Matched Tumor and Normal DNA Copy-Number Profiles Uncovers Chromosome Arm-Wide Patterns of Tumor-Exclusive Platform-Consistent Alterations Encoding for Cell Transformation and Predicting Ovarian Cancer Survival," Public Library of Science (PLoS) One 10 (4), article e0121396 (April 2015); doi: 10.1371/journal.pone.0121396.

L. A. Portelli, T. E. Schomay, and F. S. Barnes, "Inhomogeneous Background Magnetic Field in Biological Incubators is a Potential Confounder for Experimental Variability and Reproducibility. Bioelectromagnetics 34 (5), 337-348. (July 2013)

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