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Bennett S Levitan

from Washington Crossing, PA
Age ~61

Bennett Levitan Phones & Addresses

  • 1 Timber Knoll Dr, Washington Crossing, PA 18977 (215) 369-8259
  • Wshngtn Xing, PA
  • Philadelphia, PA
  • 12 Agua Sarca Rd, Placitas, NM 87043 (505) 867-2643
  • Lawrenceville, NJ
  • Santa Fe, NM
  • Buck, PA
  • Maplewood, NJ

Work

Company: Johnson & johnson Nov 2008 Position: Director, quantitative safety research, dept of epidemiology

Education

Degree: Ph.D. School / High School: University of Pennsylvania 1985 to 1994 Specialities: Bioengineering

Skills

Drug Development • Pharmaceutical Industry • Clinical Trials • Data Mining • Lifesciences • Science • Clinical Development • Life Sciences • Clinical Research • Drug Discovery • Analysis • R&D • Data Analysis • Leadership • Epidemiology • Cancer • Medical Devices • Informatics • Drug Benefit Risk Assessment • Project Portfolio Management

Languages

English

Industries

Research

Resumes

Resumes

Bennett Levitan Photo 1

Senior Director, Benefit-Risk Assessment, Department Of Epidemiology

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Location:
1 Timber Knoll Dr, Washington Crossing, PA 18977
Industry:
Research
Work:
Johnson & Johnson since Nov 2008
Director, Quantitative Safety Research, Dept of Epidemiology

Johnson & Johnson Pharmaceutical Research & Development Jun 2005 - Nov 2008
Associate Director, Portfolio & Decision Analysis

Johnson & Johnson Mar 2003 - May 2005
Assistant Director, Decision Analysis

BiosGroup, Inc Feb 1997 - May 2002
Vice President Science, Portfolio Products Group

Santa Fe Institute 1994 - 1997
Postdoctoral Fellow
Education:
University of Pennsylvania 1985 - 1994
Ph.D., Bioengineering
University of Pennsylvania 1985 - 1994
M.D., Medicine
University of Pennsylvania 1985 - 1987
M.S., Bioengineering
Columbia University 1981 - 1985
B.S., Electrical Engineering
Skills:
Drug Development
Pharmaceutical Industry
Clinical Trials
Data Mining
Lifesciences
Science
Clinical Development
Life Sciences
Clinical Research
Drug Discovery
Analysis
R&D
Data Analysis
Leadership
Epidemiology
Cancer
Medical Devices
Informatics
Drug Benefit Risk Assessment
Project Portfolio Management
Languages:
English

Publications

Us Patents

Adaptive And Reliable System And Method For Operations Management

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US Patent:
20030014379, Jan 16, 2003
Filed:
Jul 1, 1999
Appl. No.:
09/345441
Inventors:
ISAAC SAIAS - LOS ALAMOS NM, US
VINCE DARLEY - SANTA FE NM, US
STUART KAUFFMAN - SANTA FE NM, US
FRED FEDERSPIEL - SANTA FE NM, US
JUDITH COHN - SANTA FE NM, US
BENNETT LEVITAN - PLACITAS NM, US
ROBERT MACDONALD - SANTA FE NM, US
WILLIAM MACREADY - SANTA FE NM, US
CARL TOLLANDER - SANTA FE NM, US
International Classification:
G06F017/60
US Classification:
706/045000
Abstract:
The present invention presents a comprehensive system and method for operations management which has the reliability and adaptability to handle failures and changes respectively within the economic environment. The present invention presents a framework of features which include technology graphs, landscape representations and automated markets to achieve the requisite reliability and adaptability.

Method For Creating A Network Model Of A Dynamic System Of Interdependent Variables From System Observations

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US Patent:
6480814, Nov 12, 2002
Filed:
Apr 29, 1999
Appl. No.:
09/301615
Inventors:
Bennett Simeon Levitan - Placitas NM, 87043
International Classification:
G06F 760
US Classification:
703 2, 703 3, 703 11, 706 60
Abstract:
The present invention provides a method to create a Boolean or multilevel logic network model of a dynamic system of interdependent variables from observed system states transitions that can (1) operate with data consisting of only a fraction of all possible transitions, (2) accommodate measurement error on these transitions (3) produce a probability distribution over network functions (rather than simply giving one set of network functions that match the data) (4) support asynchronous activation times for different genes (5) support varying delays between gene activation and gene expression for different genes (6) accommodate the stochastic nature of gene network operations (7) support varying degrees of gene activation (not simply Boolean activation states) and (8) incorporate prior knowledge of the nature and limitations of the actual network functions being modeled.
Bennett S Levitan from Washington Crossing, PA, age ~61 Get Report