Education
- Ph.D. (2004), Mathematics, Syracuse University, Syracuse, NY
- Research Area: Statistics
- Thesis Title: Selection Procedures for Lognormal Populations
- M.S.(2000), Mathematics, Syracuse University, Syracuse, NY
- Concentration: Probability and Statistics
- B.A. (1996), Mathematics, Queens College, CUNY, Flushing, NY
- Magna Cum Laude, Phi Beta Kappa, Pi Mu Epsilon, Golden Key
Publications
- Log-normal Selection with Applications to Lifetime Data, IEEE Transactions on Reliability, Vol. 55, No. 1, March 2006
- Selection of the Best from Log-normal Populations Using Type-II Censored Data – Unknown σ2 Case, Sequential Analysis, Vol. 25, April 2006
- L1-limit of Trimmed Sums of Order Statistics from Location-Scale Distributions with Applications to Type-II Censored Data Analysis, Communications in Statistics – Theory and Methods, Vol. 37, Issue 16, 2008
Professional Experience
- August 2010 – Present (Adjunct Faculty) & Spring 1998 – Spring 200 (Teaching Assistant), Department of Mathematics, Syracuse University
- Courses Taught:
- Prob and Stats for the Liberal Arts, Elements of Modern Math, Pre-Calculus,
- Intro to Prob and Stats, Business Calc, Calc for Life Sci I and II, Calc I/II/III,
- Linear Algebra and Diff Eqns for Engineers (485), Applied Prob – Stochastic Processes and Markov Chains (526)
- November 2004 – August 2010, Lead Statistician, KS&R (Knowledge Systems and Research) Inc., Syracuse, NY
- Areas of expertise:
- Discrete Choice Models, Econometric Models, Market Simulations,
- Survey Design, Survey Weighting Methods,
- Market Segmentation, Factor Analysis, Canonical Correlation Methods, Structural Equations Modeling
- Summers 2008-10, Summers 2004-06, Adjunct Faculty, Department of Finance, WSOM
- Courses Taught:
- Introduction to Statistics for Management, Decision Tools for
Management, Data Analysis and Decision Making - Fall 2004, Adjunct Faculty, Forest and Natural Resources Management, SUNY-ESF
- Courses Taught:
- Survey of Calculus and its Applications – I
Research Interests
- Market Research and Survey Design problems
- Econometric Models, Discrete Choice Models, Associated Experimental Designs
- Statistical Computing/Programming, Business Intelligence Automation
- Ranking and Selection problems, in particular, two-stage and non-parametric procedures
- Log-Location-Scale distributions used in survival analysis,
reliability and quality control data - Censored data analysis using trimmed sums of order statistics
Computing Expertise
- Programming Languages – Fortran, Pascal, Visual Basic, .NET
- Web Development – HTML, Javascript, CSS, JScript
- Mathematical programs – MATLAB, Maple
- Statistical software – SAS, JMP, R, SPSS, Minitab
- Reporting Automation – Lotus Domino Designer, Excel-VBA, Powerpoint-VBA, Access-VBA
- Econometric/Discrete-Choice – Sawtooth CBC/HB (Choice Based Conjoint Hieararchical Bayes)
- General – Microsoft Office, LaTeX Typesetting