Project Management

Richard J. Beckman

*** ********** **.

Auburn, CA 95603

Phone: 530-***-****

505-***-**** (Cell)

e-mail: **********@*******.***

EDUCATIONAL BACKGROUND:

Kansas State University, Bachelor of Science, Mathematics, 1965.

Kansas State University, Doctor of Philosophy, Statistics, 1969.

POSITIONS HELD:

1969-1971: Assistant Professor Biology and Mathematics, University of Cincinnati.

1971-1975: Staff Member, Statistics Group, Los Alamos National Laboratory.

1975-1979: Section Leader, Statistics Group, Los Alamos National Laboratory.

1979-1981: Alternate Group Leader, Statistics Group, Los Alamos National Laboratory.

1981-1988: Staff Member, Statistics Group, Los Alamos National Laboratory.

1988-1992: Group Leader, Statistics Group, Los Alamos National Laboratory.

1991: Acting Deputy Division Leader, A-Division, Los Alamos National Laboratory

1992-July, 2003: Staff Member, Statistics Group, Los Alamos National Laboratory.(Retired 7/1/03)

1997-July, 2003: Project Leader of the TRANSIMS project, Los Alamos National Laboratory.

July 2003-July 2005: President, Urban Mobility Consulting, LLC.

July 2005-Present: Senior Research Associate, Network Dynamics and Simulation Science Laboratory,

Virginia Bioinformatics Institute, Virginia Tech University

GOALS:

1. Technical:

My main technical goal is to bring current statistical methodology and the scientific method to

scientific investigations through statistical consulting and collaboration. These techniques have

successfully been applied to chemistry, physics, biology, geology, transportation and health physics.

2. Teaching:

My objective in teaching is twofold: first to teach students to think logically about problems and

second to teach the subject matter. The philosophy of teaching logical thinking while teaching the

subject matter has been successfully used in instruction in biological systems theory, mathematics,

statistics and in numerous short courses taught for the TRANSIMS project.

3. Management:

My goal in management is to make the organization and the people in it continuously better. This

viewpoint has been used in leading the Statistics Group, the Decision Analysis Division and the

TRANSIMS project at the Los Alamos National Laboratory.

4. Research:

The objective of my research effort has always been to develop new statistical and scientific

methodologies that are immediately applicable to the scientific fields of interest.

ACCOMPLISHMENTS:

My professional career began in 1969 as an Assistant Professor of Biology and Mathematics at the

University of Cincinnati. While there I engaged in research on computer simulations of feedback repressor

systems and taught Systems Theory for Biology, Computer Simulations for Biology and Linear Statistical

Models. In 1971 I joined the Statistics Group at the Los Alamos National Laboratory in New Mexico.

While at the Laboratory I have been involved in the statistical aspects of projects in Physics, Chemistry,

Biology, Geology, Health Science, Material Science, Military Science, Business Administration and

Computer Simulation Systems. Some of these projects include the development of a methodology for

leukemia diagnosis using flow cytometer data, making a methodology for assessing the favorability of

mining uranium from geologic data, the determination of the half life of various plutonium isotopes, the

assessment of the effectiveness of chemical/biological protective clothing, and the development of

statistical methodologies to assess the sensitivity of the output of computer simulation codes to the inputs.

For seven years I was the day to day Project Leader of the $30M Los Alamos TRANSIMS (Transportation

Simulation Systems) Project. This project involves the creation of a synthetic representation of each

individual in a metropolitan region and a list of their daily activities. This is followed by a second by

second computer microsimulation of their movement, by walking, biking, driving or using mass transit,

through the region. The output of this microsimulation is used by regional planners to compare

infrastructure changes before investing in these changes. Since the movements of each individual in the

synthetic population and their contacts with other individuals in the population are simulated, the results of

the microsimulation are used to determine the best scheme for disease control, such as the best inoculation

scheme for a smallpox outbreak or the control of an anthrax attack. Additionally, these results are used to

model the next generation of cell phones where the cell phone itself is used as a receiver and transmitter.

This will create a network that includes the cell phone as well as the base stations used today. This network

is constantly changing as the population and hence the cell phones move. The tool created here assesses

things such as the power and base stations needed to create a non-isolated network. More information on

the TRANSIMS project may be found on the web site http://transims.tsasa.lanl.gov

My tasks on the TRANSIMS project include developing a synthetic population ant their activity list the

statistically mimics data from the Census Bureau and surveys, and the development of methodologies,

including feedback, to balance the system with respect to known transportation characteristics such as the

number of transit and drive trips. The tasks also include the technical direction of the 25 persons assigned

to the development of the system, the direction of case studies for Dallas, Texas and Portland, Oregon,

help with the commercial deployment of the system in Portland, Oregon by IBM Consulting, the writing of

a good portion of the TRANSIMS documentation, and the development and presentation of numerous one

and two day short courses on the TRANSIMS system. Information about these courses and my teaching

ability can be obtained from Mr. Keith Lawton of Portland Metro. Mr. Lawton is list below in the

references.

During my tenure at the Los Alamos National Laboratory, I held many management positions. These are:

Section Leader, Deputy Group Leader and Group Leader of the Statistics Group. I was also the Acting

Deputy Division Leader of the Decision Analysis Division of the Laboratory.

I have had several honors over my career. I was made a Fellow of the American Statistical Association in

1989, and two of my published papers were cited for special honors. The paper, Outlier s, written

with R. D. Cook was awarded the Jack Youden prize for the best expository paper of the year. A second

paper, written with M. D. McKay and W. J. Conover, entitled A Comparison of Three Methods for

Selecting Values of Input Variables in the Analysis of Output from a Computer Code was republished in

the 40th anniversary of the journal Technometrics as one of the 12 papers that made the largest impact in its

40 year history.

PROFESSIONAL SOCIETIES:

American Statistical Association

American Association for the Advancement of Science

PROFESSIONAL ACTIVITIES AND HONORS:

Fellow of the American Statistical Association

Associate Editor, Journal of the American Statistical Association, 1975-1980.

Associate Editor, Technometrics, 1981-1993.

Editorial Board,Chemometrics, 1986-1998.

Member, American Statistical Association Committee on Nuclear Regulatory Research, 1987-1990.

Vice Chair, American Statistical Association Committee on Chemostatistics, 1988-1990.

Member, American Statistical Association Committee on Statistics in Defense, 1989-2000.

Chair, Section of Physical and Engineering Sciences of the American Statistical Association, 1993.

Chair, U. S. Environmental Protection Agency Advisory Committee 1992-1994.

Member, American Statistical Association Committee for Best Applied Paper, 1996-2000.

Member, American Statistical Association Wilk s Award Committee, 1997-2002.

BIBLIOGRAPHY:

Tietjen, G. L., and Beckman, R. J. (1972) Tables for Use of the Maximum F-Ratio in Multiple

Comparison Procedures, Journal of the American Statistical Association, Vol. 67, 581-583.

Beckman, R. J., and Tietjen, G. L. (1973) Upper 10% and 25% Points for the Maximum F-ratio,

Biometrika, Vol. 60, 213-214.

Beckman, R. J. (1973) An Application of Multivariate Weighing Designs, Communications in Statistics,

Vol. 1, 561-565.

Tietjen, G. L., Moore, R. H., and Beckman, R. J. (1973) Testing for a Single Outlier in Simple Linear

Regression, Technometrics, Vol. 15,717- 721.

Beckman, R. J., and Trussell, H. J. (1974) The Distribution of an Arbitrary Studentized Residual and the

Effects of Updating in Multiple Regression, Journal of the American Statistical Association, Vol. 69, 199-

201.

Tiwari, J., Fraser, A. S. and Beckman, R. J. (1974) Genetical Feedback Repression Single Locus Models,

The Journal of Theoretical Biology, Vol. 45, 311-326.

Nishita, H., Moore, R. H., Beckman, R. J., and Hamilton, M.(1974), Decay Characteristics of Soil

Thermoluminescence, Soil Science, Vol. 119, 259-268.

Tietjen G. L. and Beckman R. J. (1974) On Duplicate Measurments in the Chemical Laboratory,

Technometrics, Vol. 16, 53-56.

Wood, R. A., MacDonald, N. S., Nagy, K., Beckman, R. J., Wakaawa, S. T.,and Kaaz, H., (1975) The

Determination of Oxygen-18 in Water by Charged Particle Activation, Analytical Chemistry, Vol 47, 646-

650.

Tietjen, G. L., Kahaner, D. K., and Beckman, R. J.,(1977), Expected Values of Products of the Normal

Order Statistics, N=21-50, Selected Tables in Mathematical Statistics, Vol. V, 1-74.

Beckman, R. J. and Waterman, M. S. (1977) On the Random Distribution of Nucleoli in Metabolic Cells,

Journal of Theoretical Biology, Vol. 69, 561-562.

Beckman, R. J. and Ramsay, J. B. (1978) Cluster Analysis of Water Wells of the Al Qatif and Al Hasa

Areas, From the book The Quartarnary Period in Saudi Arabia, Vol. I:Arabian Gulf Coast Region, Its

Hinderland and the Cuesta Region of Central Saudi Arabia; Joseph G. Zotl Editor, Technishe Hochscule,

Graz, Austria.

Beckman, R. J. and Tietjen G. L. (1978) Maximum Likelihood Estimation for the Beta Distribution,

Journal of Statistical Computation and Simulation, Vol. 7, 253-258.

Marsh, S. F., Abernathy, R. M., Beckman, R. J., Zeigler, R. K., (1978) Plutonium-239 Half Life

Determination by Isotope Dilution MassSpectrometric Measurment of Grown-in Uranium-235,

International Journal of Applied Radiation and Isotopes, Vol. 29, 509-515.

Beckman, R. J. and Cook, R. D. (1979) Testing for Two Phase Regressions, Technometrics, Vol. 21, 65-

69.

McKay, M. D., Beckman, R. J., and Conover, W. J. (1979). A Comparison of Three Methods for Selecting

Values of Input Variables in the Analysis of Output from a Computer Code, Technometrics, Vol. 21, 239-

245. (Republished in the 40th anniversary issue of Technometrics as one of the 12 papers with the greatest

impact over the 40 year history of the journal Technometrics)

Marsh, S. Fredric, Abernathey, Robert M., Beckman, Richard J., and Rein, James E. (1980). Plutonium-

241 Half Life Determined by Mass Spectrometric Measurement of Decreasing Pu-241/Pu-242 Ratio, The

International Journal of Applied Radiation and Isotopes, Vol. 31,629-631.

Johnson, M. E, Tietjen, G. L., and Beckman,R. J. (1980) A New Family of Probability Distributions with

Applications to Monte Carlo Studies, Journal of the American Statistical Association, Vol. 75, 276-279.

McKay, M. D., and Beckman, R. J. (1980), Comments on Small Sample Sensitivity Analysis Techniques

for Computer Models, with Applications to Risk Assessment, Communications in Statististics-A, Vol. 17,

1749- 1842.

Beckman, R. J. and Johnson, M. E. (1981). A Ranking Procedure for Partial Discriminant Analysis,

Journal of the American Statistical Association, Vol 76, 671-675.

Pirkle, F. L., Beckman, R. J. and Fleischhauer, H. L. Jr., (1982), A Multivariate Uranium Favorability

Index Using Aerial Radiometric Data, Journal of Geology, Vol 90, 109-124.

Kahaner, D., Tietjen, G. L. and Beckman, R. J. (1982), Gaussian-Quadrature Formulas for exp(-x

)g(x)dx, Journal of Statistical Computation and Simulation, Vol. 15, 155-161

Beckman, R. J. and Tietjen, G. L. (1982), Statistical Methods in Chemistry, Encyclopedia of Statistics,

433-436, John Wiley, NewYork.

Lippman, D., Smith, T. F., Beckman, R. J., Waterman, M. S.(1982), A Hierarchical Analysis of Influenza

A Hemagglutinin Gene. Nucleic Acid Research, Vol. 10, 5375-5389.

Crowe, B., Johnson, M. E., and Beckman, R. J. (1982) Calculation of the Probability of a Volcanic

Disruption of a High-Level Radioactive Waste Repository Within the Nevada Test Site, USA, Radioactive

Waste Management, Vol. 3(2), 167-190.

Prikle F. L., Bement T. R., Howell J. A., Koch C. D., Stablein N. K., Beckman R. J., and Tietjen G. L.

(1983) Identification of Regions Enriched or Depleted in Radioelements Through Nondistributional

Analysis of Aerial Radiometric Data, Journal of Geochemical Exploration, Vol. 18, 175-187.

Beckman, R. J. and Cook, R. D. (1983), Outlier s, Technometrics, Vol. 25, 119-149. (Winner of the

Jack Youden prize for the best expository paper.)

Beckman R. J., Marsh S. F., Abernathey R. M., and Rein J. E. (1984) Plutonium-240 Half Life

Determined by Isotope Dilution Mass Spectrometric Measurement of Grown-in Uranium-236, Applied

Radiation and Isotopes, Vol. 35 pp. 163-170.

Steinkruger F. J., Metlack G. M., and Beckman, R. J. (1984), The Half Life of Plutonium-240 Determined

by Specific Activity Measurements, Applied Radiation and Isotopes, Vol. 35 pp. 171-172.

Beckman, Richard J. (1986) Discussion of the Cook Paper Assessment of Local Influence, JRSSB, Vol.

48 161-161.

Beckman, Richard J., Johnson, Mark E.,(1987) Fitting Student s t Distribution to Grouped Data With

Application to a Particle Scattering Experiment. Technometrics, Vol. 29, 17-22.

Beckman, Richard J., McKay, Michael D. (1987), Monte Carlo Estimation Under Different Distributions

Using the Same Simulation, Technometrics, Vol. 29 153-160.

Beckman, Richard J., Nachtsheim, Christopher J., and Cook, R. Dennis (1987), On Diagnostics for the

Mixed Model Analysis of Variance, Technometrics, Vol. 29, 413-426.

Moore, Leslie M., Beckman, Richard J. (1988) Approximate One-Sided Tolerance Bounds on the Number

of Failures Using Poisson Regression, Technometrics. Vol. 30, 283-290.

Stampfer, J. F., Beckman, R. J. and S. P. Berardinelli (1988) Using ImmersionTest Data to Screen

Chemical Protective Clothing, Journal of American Industrial Hygiene Association, Vol. 49, 579-583.

Beckman, Richard J., Tietjen, Gary L. (1989) Two-Sided Tolerance Limits for Balanced Random Effects

ANOVA Models, Technometrics, Vol 31, 185-197.

Polzer, Wilfred L., Rao M. Golala, Fuentes Hector R., and Beckman Richard J. (1992),

Thermodynamically Derived Relationships Between the Modified Langmuir Isotherm and Experimental

Parameters, Part II. Application, Environmental Science and Technology. Vol. 26, 1780-1786.

Salzman, Gary C., Beckman, Richard J., Stewart Carleton C. and Stewart Sigrid J. (1993) Expert

Assistance for Flow Immunophenotyping, Flow Cytometry New Developments, 413-420, Edited by Alain

Jacquemin-Sablon, Springer-Verlag, Berlin.

Beckman, Richard J., Salzman, Gary C. and Stewart, Carleton C. (1995), Classification and Regression

Trees for Bone Marrow Immunophenotyping, Cytometry, 20, 210-217.

Beckman, Richard J. (1995), Plotting pk Factorial or pn-k Fractional Factorial Data, The American

Statistician, Vol. 50, No 2, 170-174.

Urbatsch, T. J., Forster, R. E., Prael, R. E. and Beckman, R. J. (1996), Estimation and Interpretation of keff

Confidence Intervals in MCNP, Nuclear Technology

Salzman, Gary C., Beckman, Richard J., Parson, J. D., Stewart, Sigrid J. and Stewart, Carleton C. (1996)

Flow Cytometric Immunophenotyping Using Cluster Analysis and Cluster Editing. NATO ASI Series, Vol

H 95, Flow and Image Cytometry, edited by Alain Jacquemin-Sablon, Springer-Verlag, Berlin

Beckman, Richard, J., Baggerly, Keith A., and McKay, Michael D., (1996), Creating Synthetic Baseline

Populations, Transportation Research-A, Vol. 30, No. 6, 415-429.

Willis, J. O., Ray, R. D., Bingert, J. F., Phillips, D. S., Beckman, R. J., Smith, M. G., Sebring, R. J., Smith,

P. A., Bingham, B. L., Coulter, J. Y. and Peterson, D. E., (1997), Processing Factors For High Critical

Current Density In Bi-2223/Ag Tapes, Physica C 278, 1-10.

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