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VP, Management Science Analyst, PhD (Titusville, NJ)


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VP, Management Science Analyst, PhD (Titusville, NJ)

  1. 1. 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 detection. • Established the first Cheminformatics group at FMC. EXPERIENCE 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.
  2. 2. • 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 targets. • 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 data mining. • 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 HTS. • 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.
  3. 3. • 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 proprietary chemistry • 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 sodium channels • 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 FMC. • 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 simplex optimization. • 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 acid. • 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". EDUCATION Ph.D. - Organic Chemistry, University of Illinois - Champaign/Urbana
  4. 4. B.A. - Chemistry, Indiana State University - Evansville SAS Programming I, Programming II, Macro Programming and Advanced Macro Programming, SAS Enterprise Miner – SAS Institute