Senior Level Computational Chemist / Data Analyst / Cheminformatics / Data Mining /
An energetic and innovative scientist with broad experience in discovery research. Demonstrated
ability to contribute to many aspects of discovery 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 issues to management, non-scientists and investment analyst.
• Organic / Medicinal Chemistry • QSAR / QSPR Analysis
• 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 HTS screening efficiency.
• Knowledgeable in Microstrategy® , SAS Base® , JMP® , SAS Enterprise Guide® , Minitab® ,
Spotfire® , CART® , Leadscope® , ClassPharmer® , PipelinePilot® , DiverseSolutions® , Microsoft
• Twice awarded FMC Technical Achievement Award.
• Established the first Cheminformatics group at FMC.
Merrill Lynch, Global Wealth Management, Pennington, NJ 2007 – 2008
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 when
applied to HTS screening data. 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.
• 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 statistical models capable of predicting translation between successive screens in
herbicides, fungicides and insecticides / nematicides. Integrated into synthesis chemist workflow.
• Devised and coded program 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 a critical 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 2-3 fold.
• Developed and implemented data mining models using high-throughput screening data. Models
applied to vendor offerings resulted in 10-fold improvement in hit-rate.
• 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, Cheminformatics , 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 new chemical descriptors
and quantify their effectiveness in data mining.
• Created automated property prediction methods for vapor pressure and aqueous solubility. Both
were implemented as web-based tools.
• Developed analysis strategy to maximize the value of combinatorial chemistry offerings.
• Collaborated with Jerini BioTools (Berlin) in peptide library design and synthesis.
• Continued to source high-throughput screening and perform diversity and similarity analysis of
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 which enabled clustering and similarity analyses of large databases (> 2
• 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 assay development
both in-vitro and in-vivo 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 two novel small molecule agonists for 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 an Industrial Post-doc program so as to expose organization to new thinking /
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.
• Directed on-going research programs aimed at discovering insecticides.
• Developed general model relating insecticide properties to soil efficacy; model accurately predicts
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).
• Discovered a corn grass herbicide active at 125 g/ha in field-testing.
• Recognized internally as an expert in QSAR.
• Contributed novel algorithms covering experimental design 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 new classes of herbicides that were field-tested in Japan and
• 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, Advanced Macro Programming, SAS
Enterprise Miner – SAS Institute