Evolving Innovative Solutions™ - Since 1993
Mr. Joe Rothermich works with Natural Selection Inc., on research and consulting engagements and in business development. He has 10 years of experience in applying computational intelligence techniques to real-world business applications.
He received his M.Sc. in Natural Computation with Distinction from the University of Birmingham (United Kingdom) and his B.S. in Applied Science, Systems Analysis from Miami University (Oxford, Ohio). Mr. Rothermich's research interests include machine learning, agent-based modeling, evolutionary computation and design, and nature-inspired algorithms.
Mr. Rothermich is a principal at Natural Selection Financial, Inc., a spin-off of Natural Selection, Inc., which applies innovative research to quantitative investment strategies. He is the Chief Investment Officer responsible for quantitative financial research, portfolio management and business development. Mr. Rothermich holds the Chartered Financial Analyst (CFA) designation.
Previously Mr. Rothermich was a researcher and consultant at Icosystem, a science and strategy consulting firm specializing in complexity science and evolutionary computation. Prior to that, he was a Manager at Accenture where he provided strategy and implementation services in Enterprise Software (ERP and CRM).
Rothermich J, Ecemis I, and Gaudiano P (2004) "Distributed Localization and Mapping with a Robotic Swarm," Proc. of the Swarm Robotics Workshop at the 8th Intl. Conference on the Simulation of Adaptive Behavior SAB-04, E. Sahin and W. Spears (eds.), Los Angeles, CA, Lecture Notes in Computer Science, Vol. 3342.
Malinchik S, Orme B, Rothermich J, and Bonabeau E (2004) "Interactive Exploratory Data Analysis," Proc. of the 2004 IEEE Congress on Evolutionary Computation, IEEE Press, Piscataway, NJ.
Rothermich J, Wang F, and Miller J (2003) "Adaptivity in Cell-Based Optimization for Information Ecosystems," Proc. of the 2003 IEEE Congress in Evolutionary Computation, IEEE Service Center, Piscataway, NJ.
Rothermich J (2002) "From Multicellularity to Cell Based Optimization: Studying the Cooperative Capabilities of Evolvable Cells," MSc Thesis, Poster presented at the U.K. Workshop on Computational Intelligence (UKCI). Jointly won best poster prize.
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