Thomas Kiehl
PhD From: Rensselaer Polytechnic Institute
Completion Date: August 31, 2009
Keywords: Systems Biology, Cell Signalling, Evolutionary Computing, Genetic Algorithms, Information Systems
Personal Web Page: http://kiehl.brunswick.ny.us/cv/tom/
Completion Date: August 31, 2009
Keywords: Systems Biology, Cell Signalling, Evolutionary Computing, Genetic Algorithms, Information Systems
Personal Web Page: http://kiehl.brunswick.ny.us/cv/tom/
Research Profile
My interests lie primarily in three areas:
1.Systems Biology: in the application of modeling, simulation, machine learning, and experimental biology techniques toward the understanding and design of biological systems.
2.Evolutionary Computing (EC): in theory as well as in application to machine learning, networks and engineering/design.
3.Information Systems: as a necessary backbone supporting the above efforts and other novel applications. This includes distributed computing systems to support large scale stochastic simulations and EC applications and to address the pursuant data management problems.
Contact Information
E-Mail: EMAIL OBFUSCATED
Phone: 518.248.1578
Categories Posted To:
AI / Machine Learning / Robotics / Vision, Other, Scientific/Medical Informatics
