Data Modeling / Informatics / Data Mining / Knowledge Discovery / Statistical Modeling
An energetic and innovative senior-level scientist with broad experience in data analysis methods and statistical
modeling. Demonstrated ability to contribute to projects outside area of formal education and training. Able to
enter new technical areas lay out strategic direction and deliver results. Proven ability to communicate technical
insights to management, non-scientists and investment analyst.
• Ph.D. in Chemistry • Multivariate / Linear / Logistic Regression
• Programming Fortran95, C, C++, SAS • Experimental Design / DOE
• Data Mining / Predictive Modeling • Project Management
• Researched, developed and implemented data mining methods resulting in 20-fold improvement
in process efficiency.
• Twice awarded FMC Technical Achievement Awards.
• Knowledgeable in Microstrategy® , SAS® , JMP® , SAS Enterprise Guide® , Minitab® , Spotfire® and
FIRM® (CHAID), CART® , KnowledgeStudio® , Microsoft Office software.
• Experienced with modeling large datasets and associated issues of data cleansing, outlier
• Established the first Cheminformatics group at FMC.
Merrill Lynch, Global Wealth Management, Pennington, NJ 2007 – present
Vice President, Management Science Analyst
Provided high-end statistical analysis, predictive modeling and data mining to support business units
throughout the Global Wealth Management division.
• Developed data mining models to forecast likelihood that a Financial Advisor’s behavior might
lead to litigation.
• Developed data mining models to identify prospects to target in a several product areas –
mortgages and home equity lines of credit.
• Projects have been focused and varied, involving development of segmentation models,
predictive models to drive cross-selling opportunities within a number of products, data mining
models to understand customer behavior and understand product utilization.
DuPont , Crop Protection Products, Newark, DE. 2000 – 2007
Senior Research Associate, Computational Sciences
Designed and conducted computational chemistry research programs focused on hit generation and
lead optimization for crop protection.
• Led collaborative team (7 PhDs) evaluating effectiveness of data mining methodologies (decision
trees, neural networks, genetic algorithms). Discovered 2 significant data mining enhancements.
• Programmed data mining software, incorporating novel enhancements, integrated into workflow
to provide automated predictions for biological endpoints for nearly 8 million compounds annually.
Predictions influenced the expenditure of $2 million annually for screening compounds.
• Trained data mining models from noisy high-volume biological data. Implemented models
resulted in 10-fold improvement in screening efficiency.
• Created property predictor for pKa, accuracy equivalent to commercial routines but 70-fold faster
by use of recursion (~145K compounds/hour). Developed into a web-based application.
• Developed regression tree models capable of accurately predicting translation between
successive biological screens. Integrated into synthesis chemist workflow.
• Devised and coded software enabling synthesis chemists to apply experimental design
techniques during lead optimization.
• Designed universal compound collection, which has been used in screening all new in-vitro
• Responded in 2 weeks with clustering / segmentation analysis of a compound collection, which
enabled a significant external collaboration to proceed thus saving $2M.
• Persuaded management of the value of an international collaboration, secured funding and
provided oversight to the project. Results from collaboration provided basis for further enhancing
data mining models 2 to 3-fold.
• Programmed software to efficiently generate pharmacophore feature-based descriptors used in
data mining and designing target-biased screening libraries.
FMC Corporation, Agricultural Products Group, Princeton, NJ. 1984 – 2000
Senior Research Associate, Compound Acquisitions 1998 – 2000
Team Leader for Cheminformatics group, built and expanded screening collection, created tools to
enhance drug discovery, and provided diversity analyses of combinatorial chemistry libraries.
• Presented business value of designed compound screening collection to Wall Street analysts.
• Strategically assessed FMC’s screening / discovery capability vs. corporate expectations using
probabilistic modeling. Recommendations incorporated into Discovery department strategic plan.
• Collaborated with Professors Alex Tropsha and Peter Willett to explore descriptor effectiveness in
• Created automated property prediction methods using multivariate regression for vapor pressure
and aqueous solubility (C++ code). Implemented as web-based tools.
• Developed analysis strategy to maximize the value of combinatorial chemistry offerings.
Research Associate, Compound Acquisitions 1996 – 1998
Sourced compounds for high-throughput screening, analyzed and understood makeup of FMC
corporate compound collection. Overall project goal was to significantly enhance lead generation in
• Developed predictive models from HTS biological data. Screening of compounds predicted by
models exceeded historical hit-rates by 7-fold - awarded APG Innovation Award (1997).
• Negotiated compound trades with 2 pharmaceutical companies resulting in $1M in cost savings.
• Designed Fortran code for clustering / segmentation and similarity analyses of large databases (>
2 million structures).
• Collaborated with Professors Bob Pearlman and Peter Willett to learn latest thinking in chemical
diversity and similarity analysis.
Manager, Target- Site Design 1992 – 1996
Managed group of 13 chemists and 12 biologists (BS thru PhD). Responsible for in-vitro and in-vivo
assay development and lead optimization.
• Developed a receptor radioligand binding assay, a cell-based functional assay, a baculovirus
expression system for an insect receptor, a bacterial expression system for an insect enzyme, as
well as contributing to development of a 3-dimensional homology model for an insect receptor.
• Discovered 2 novel small molecule agonists of an insect receptor whose affinities exceeded that
of the native hormone.
• Discovered and optimized a novel insecticide acting at the voltage-gated sodium channel. Field-
tested extensively in 1994 - 1995.
• Established and successfully managed external collaborative research programs with:
• Rutgers University entomology department to develop in-vitro insect metabolism models.
• Rutgers University and Walter Reed to evaluate potential pharmaceutical application of FMC
• State University of New York at Buffalo and Virginia Polytechnic Institute and State University
to validate novel molecular target for insect control
• University of California at Riverside to develop novel toxin radioligand for insect voltage-gated
• Initiated Industrial Post-doc program to expose organization to new thinking / technologies.
Manager, Target- Site Screening 1989 – 1992
Managed group consisting of 10 chemists and 9 biologists (BS thru PhD). Responsible for assay
automation, screening and lead optimization.
• Automated 3 receptor radioligand binding assays and 1 enzyme assay in 18 months.
• Developed 2 bridging whole animal based assays in 12 months.
• Developed regression models relating insecticide properties to soil efficacy; model accurately
predicted behavior of commercial soil insecticides.
• Reduced department variance from 7% to 1% in 12 months and recruited at 6 schools new to
• Instituted an upward performance appraisal system to create coaching group environment.
Senior Research Chemist, 1987 - 1989; Research Chemist , 1984 - 1987
Synthesized candidate agrochemicals, supervised 2 BS chemists, built herbicide mode of action
knowledge, developed understanding of QSAR.
• Created proprietary calculator for predicting vapor pressure of agrochemicals - awarded APG
Technical Achievement Award (1988).
• Increased herbicide lead activity 250-fold utilizing experimental design, regression analysis and
• Recognized internally as an expert in QSAR.
• Contributed novel experimental design algorithms to FMC's proprietary QSAR system.
• Established one of the most productive chemistry teams during 1985 - 1987.
Stauffer Chemical Company , Eastern Research Center, Dobbs Ferry, NY. 1980 – 1984
Research Chemist , 1983 - 1984; Associate Research Chemist , 1980 - 1983.
• Discovered and optimized 2 classes of herbicides that were field-tested in Japan and Europe.
• Improved manufacturing process for a biocide resulted in increases in yield and product quality.
• Invented a novel process in 2 months that was used to prepare 1000 lb. of an arylphosphinic
• Worked closely with biocides division manager - He stated, "over the past several years, I can
say unequivocally that this is the finest response that I have ever seen from the Research
Department regarding biocides".
Ph.D. - Organic Chemistry, University of Illinois - Champaign/Urbana
B.A. - Chemistry, Indiana State University - Evansville
SAS Programming I, Programming II, Macro Programming and Advanced Macro Programming, SAS
Enterprise Miner – SAS Institute