Robert Stolz Ph.D.

Main Research and Teaching Interests

Applied Mathematics, Mathematical Biology

Expertise

Research areas include mathematical biology, mathematical modeling, bioinformatics, mathematics, stoichastic processes, and computational biology.

Abstract of Research

My background is in the areas of probability theory and functional analysis. My previous work was focused on stochastic processes, integration and measures in infinite dimensional vector spaces. I have spent the past three years building on my mathematical background to gain knowledge in the area of machine learning and computational science, in particular in its applications to location proteomics. I have extensive programming skills in matlab.

Current Research Projects

Proteomics, the study of proteins their structure and their function, is important in understanding the human body. The field of proteomics has the potential to advance medicine through a complete understanding of important interactions that help to keep our bodies healthy. The field of location proteomics seeks to understand protein structure and function by looking at the location pattern of individual proteins.

Biography

Robert Stolz received a Ph.D. in Mathematics from Lehigh University, where his work focused on stochastic processes, integration, and measures in infinite-dimensional vector spaces. His recent and current mathematics research includes applying mathematical and computational methods to proteomics, population biology, and the study of coral diseases. Dr. Stolz has directed several STEM (Science, Technology, Engineering, and Mathematics) undergraduate projects to increase the number of students in STEM to earn baccalaureate degrees and ultimately improve the numbers that go on for advanced degrees in STEM.