Ravi Starzl MS, PhD

Dr. Ravi Starzl is an expert in the computational analysis and modeling of complex information-driven systems, with experience in such diverse domains as biological systems, financial systems, and Internet topologies. His core competencies include software engineering, machine learning, mathematical modeling, big data systems, and biology.

Dr. Starzl has extensive experience with the computational and mathematical methods integral to the effective acquisition, management, and utilization of extremely large amounts of information. Having led several massive data analysis projects with data sets as large as 100+TB, Dr. Starzl is fluent in the methods of Big Data analytics, and is an active researcher in the area of parallelization of machine learning methods for Big Data.

He also has extensive experience with many biotechnology and industrial technology quantification platforms, immunological methods, and small animal transplant models, as well as general clinical practices, healthcare management systems, and entrepreneurial biotechnology development. Dr. Starzl conducts leading edge research into the elucidation of patterns of communication and function in the immune system by adapting and extending analytic techniques that have proven successful in areas with similar types of complexity, such as human language and finance. Dr. Starzl is further extending his work into areas that are populated with similar types of problems that can be addressed by his analytic methodology.