Thesis and Dissertation Advisors -
Mathematics

JOHN BUCCI
Statistics - Mathematics - Economics - Finance - Business

John Bucci focused his Master’s studies in quantitative finance, specifically option pricing theory and econometrics. He worked the past five years in the United States fixed income market as a portfolio manager and research analyst, during which time he applied the principles of mathematics and statistics to potential investment opportunities, the pricing of bonds with embedded options and macroeconomics such as monetary policy.

Mr. Bucci currently is a part-time lecturer in mathematics and introductory statistics, and he hopes to continue to share his experiences and qualifications both in the classroom and in his consulting services. In general, Mr. Bucci can assist clients in all phases of their dissertation and/or data analysis projects, particularly in the understanding of basic probability and statistics concepts including:

• measures of central tendency and variation;
• counting rules and probability distributions;
• the Central Limit Theorem;
• confidence intervals, simple hypothesis testing and ANOVA;
• correlation and regression analysis.

For those clients specializing in mathematical finance, he can further assist in:

• Econometrics
• Times Series Analysis
• Modern Portfolio Theory
• Black-Scholes-Merton Option Pricing Theory (stocks and bonds)
• Interest Rate Modeling

Mr. Bucci enjoys working with all types of datasets and the various forms they come in. He is highly proficient with scripting and data analysis in R and Microsoft Excel, and he also has experience working with: STATA, SAS, Matlab and Minitab.

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LYNETTA CAMPBELL
Mathematics - Statistics - Data Analysis

Lynetta Campbell holds an M.S. in Mathematics, an M.S. in Management Science, a B.S. in Chemical Engineering. 

Ms. Campbell worked twelve years in the Chemical Process Industry, during which time she participated in the design, construction, and start-up of projects in polystyrenics. However, it was her work in the implementation of statistical quality control programs that lead her to focus on data collection and analysis.

Ms. Campbell teaches mathematics and statistics.  Her students write that “she explains things clearly and does not make anyone feel stupid for asking questions.”  She is a CRLA-certified tutor who takes great pride in helping students come to “own” the mathematical knowledge necessary to succeed in their chosen fields. 

She has assisted graduate students with their data analysis in fields as diverse as engineering, education, and public health.  She can assist clients with their initial exploratory data analysis, usually with a graphical approach to viewing the data. She makes sure each client understands the basics, such as how to properly state the null and alternative hypotheses, and how to test for equivalence using procedures such as independent sample or paired sample t-tests.  She routinely helps clients in the selection of the proper regression methods to employ, helping them to understand generalized linear models, logistic regression, and logit and loglinear models.  Her ultimate goal is always that the client gains a full understanding of what the data has to say.  In this manner, she has worked with clients whose data was highly qualitative, such as survey data, and she has assisted students with highly quantitative data involving modeling and forecasting.  She is highly proficient with SPSS, and R statistical software and programming languages.

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