Mark Brodie was born in South Africa and came to the United States after his undergraduate degree. After getting his PhD he worked at IBM Research in New York on artificial intelligence and data mining. He came to Simpson in 2008. He loves teaching, programming, and teaching programming.
Artificial intelligence, machine learning, data mining, chess.
6 Patents, 2007 – 2013.
2 NSF Grants, 2011 and 2015.
Research Accomplishment Award from IBM, 200
Invention Achievement Award from IBM, 2008.
B.Sc. with Honors, University of Witwatersrand, South Africa, 1989.
M.Sc, University of Illinois at Urbana-Champaign, 1992.
PhD, University of Illinois at Urbana-Champaign, 2000.
Research Staff Member, IBM TJ Watson Research Center, NY, 2000-2008.
Brodie, M., Ma, S., Rachevsky, L., & Champlin, J., “Automated Problem Determination using
Call-Stack Matching", Journal of Network and Systems Management, Vol. 13, No. 2,
Brodie, M., Rish, I., & Ma, S., “Intelligent Probing: A cost-effective approach to fault diagnosis
in computer networks”, IBM Systems Journal, Vol 1, No 3, 2002.
Brodie, M & DeJong, G, “Iterated Phantom Induction: A Knowledge-Based Approach to
Learning Control”, Machine Learning, 45-1, 2001