National Institute of Standards and Technology
Nist Fellow and Chief Statistician
National Institute of Standards and Technology Oct 2006 - Jun 2014
Division Chief
Ge Aug 2000 - Sep 2006
Statistician
Boeing Mar 1989 - Aug 2000
Associate Technical Fellow
University of Washington Sep 1984 - Mar 1989
Assistant Professor
Education:
Yale University 1978 - 1983
Doctorates, Doctor of Philosophy, Statistics
Classical University of Lisboa, Portugal 1970 - 1975
Skills:
Statistics Statistical Modeling Modeling R Latex Statistical Computing Statistical Inference Portuguese Fluency In English Fluency In Portuguese Fluency In French Fluency In Spanish R Statistical Computing Probability Theory Geostatistics Spatial Analysis Data Analysis
Languages:
English Portuguese Spanish French
Division Chief At National Institute Of Standards And Technology
Division Chief (Statistical Engineering) at National Institute of Standards and Technology
Location:
Washington D.C. Metro Area
Industry:
Research
Work:
National Institute of Standards and Technology - Gaithersburg, MD since Oct 2006
Division Chief (Statistical Engineering)
General Electric (GE Global Research) Aug 2000 - Sep 2006
Statistician
Boeing Mar 1989 - Aug 2000
Associate Technical Fellow
University of Washington - Seattle, WA Sep 1984 - Mar 1989
Assistant Professor
Princeton University - Department of Statistics Sep 1983 - Aug 1984
Assistant Professor
Education:
Yale University 1978 - 1983
Ph.D., Statistics
Classical University of Lisboa, Portugal 1970 - 1975
Licenciate, Geology
Skills:
Fluency in English Fluency in Portuguese Fluency in French Fluency in Spanish R Statistical Computing LaTeX Statistics Statistical Modeling Statistical Computing Probability Theory Statistical Inference Geostatistics Spatial Analysis Portuguese R Modeling
Honor & Awards:
U.S. Department of Commerce Silver Medal (Scientific/Engineering Achievement), 2011
U.S. Department of Commerce Gold Medal (Scientific/Engineering Achievement), 2010
U.S. Geological Survey Director's Award for exemplary service to the nation, 2010 Deepwater Horizon oil spill response
Us Patents
Method And System For Estimating Gene Expression Data
Antonio Possolo - Niskayuna NY, US Jay Silkworth - Schodack Landing NY, US Kati Illouz - Schenectady NY, US
International Classification:
C12Q 1/68 G06F 19/00
US Classification:
435006000, 702020000
Abstract:
A method and system are provided for measuring differential gene expression that is induced on multiple experimental subjects by controlled, multiple experimental factors, measured using microarrays or other devices that measure the activity of multiple probes per gene. The information in the readings made from all the probes in the microarrays or other devices that received the experimental samples is extracted simultaneously, without prior summarization or aggregation at the gene level, by employing a multi-factor model that explicitly accounts for differences in expression between genes, between probes from the same gene, and between the effects of the experimental factors.
Computerized System And Method For Valuating Employee Stock Options
Antonio Possolo - Niskayuna NY, US Brock Osborn - Niskayuna NY, US Kathleen Skumurski - Clifton Park NY, US Mariano Weil - Waterbury CT, US Mitchell Danaher - Trumbull CT, US
International Classification:
G06F017/60
US Classification:
705035000
Abstract:
Computer system and method for performing valuation of stock options issued by a corporation to employees are provided. The computer system may comprise a historical employee stock option database populated with information regarding employee stock option awards issued by said corporation. The computer system may further comprise a historical stock price database populated with historical stock prices and dividends, if any, issued by that corporation. An employee database may be populated with information regarding employees who have been issued stock options. A first data feed may provide present stock prices of the corporation. A second data feed may provide present risk-free interest rate structure. A processor may be configured to extract from data stored in the databases at least one historical-based parameter affecting a valuation of employee stock options. A user interface may be used for communicating with the processor and perform a valuation of employee stock options at least in part based on the at least one historical-based parameter.
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