Resume
Resume of Steven L. Bell
Skills:
Stochastic Modeling, Queueing Theory, Statistics
Network Simulation, C/C++, Matlab, S-plus/R, SAS, Java, MySQL,
Mathematical Finance, Operations Research, Bioinformatics.
Relevant Course Work:
Communication Networks, Digital Signal Processing,
Wireless Communication, Stochastic Networks, Bootstrap,
Stochastic Differential Equations, Timeseries, Mathematical Finance,
Bioinformatics (Biological Databases, Sequence Analysis, Systems Biology).
Education:
Ph.D. Mathematics. University of California, San Diego, 2003. Dissertation Title: Dynamic Scheduling of a Parallel Server System in Heavy Traffic with Complete Resource Pooling: Asymptotic Optimality of a Threshold Policy (for a short description click
here
)
M.A. Mathematics. San Diego State University 1994
B.A. Economics. University of California, Los Angeles 1987
Presentations:
IEEE Conference on Decision and Control, Phoenix, Az., December 1999
INFORMS Spring 2000 Meeting, Salt Lake City, Utah, May 2000.
5TH World Congress of the Bernoulli Society for Probability and Mathematical Statistics and 63rd Annual Meeting of the Institute of Mathematical Statistics, Guanajuato, Mexico, May 2000
Publications:
Expa: a Program for Calculating Extreme Pathways in Biochemical Reaction Networks, S.L. Bell and B.O. Palsson,
Bioinformatics
, 21(8):1739-1740 (2005).
Phenotype Phase Plane Analysis Using Interior Point Methods, S.L. Bell and B.O. Palsson,
Computers and Chemical Engineering
, 29(3):481-486 (2005).
Dynamic Scheduling of a Parallel Server System in Heavy Traffic with Complete Resource Pooling: Asymptotic Optimality of a Threshold Policy S.L. Bell and R.J. Williams,
Electronic J. of Probability, 10 (2005), 1044-1115
Dynamic Scheduling of a System with Two Parallel Servers: Asymptotic Optimality of a Continuous Review Threshold Policy in Heavy Traffic, 38th IEEE Conf. on Decision and Control, Session: WeP02- Scheduling, Phoenix 1999, S.L. Bell and R.J. Williams.
Dynamic Scheduling of a System with Two Parallel Servers in Heavy Traffic with Complete Resource Pooling: Asymptotic Optimality of a Continuous Review Threshold Policy in Heavy Traffic, S.L. Bell and R.J. Williams,
Annals of Applied Probability, 11 (2001) 608-649.
Work Experience:
Hedge Fund, New York, March 2007 - Present. Quantitative Analyst. Improved and implemented strategy developed at Morgan Stanley. Back-testing in C and Perl. Statistical analyses in R. Implemented accounting data (Market Guide by Reuters) base with Sqlite (C-API) and Perl (XML parsing).
Morgan Stanley. Equity Trading Lab. July 2005-January 2007. Associate. Conducted research to develop quantitative equity trading strategies. Long-short portfolio.
University of California, San Diego, Department of Bioengineering. August 2003-April 2005. Post-graduate Researcher. Published improved version of a linear programming algorithm. Optimized existing systems biology sofware in 'C'.
QuickSilver Technology. September 1999-April 2002. Senior Engineer. Processor Scheduling and Hardware Resource Allocations, Task Scheduling in Real Time Operating System, CDMA applications (Searcher, Set-Maintenance, Rake Finger).
Nokia Mobile Phones. January 1999-September 1999. DSP Software Intern. Performance Analysis of Telelogic Tau code generation tool using SDL (Specification and Description Language, ITU-T Recommendation z.100) to model and simulate MAC and SAR sublayers (IS-2000-3 MAC Standard for CDMA 2000 Spread Spectrum System, IS-2000-4 LAC Standard for CDMA 2000 Spread Sprectrum System) of mobile station, Interrupt Service Routine Schedulability Study
San Diego State University, Department of Mathematics. Spring 1998-Fall 1999. Instructor in Engineering Calculus
University of California, San Diego, Department of Mathematics. Fall 1994 - Spring 1999. Teacher's Assistant for a variety of courses including Engineering Calculus, Probability, and Statistics
Economic Analysis Corporation, Los Angeles. Fall 1987 through Spring 1990. Research assistant for anti-trust witness support group. Library research, Spread Sheet Analysis, Regression Analysis
References: Available Upon Request.