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Geoscience & Environment Staff Members
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Sean McKenna (505-844-2450) has been working at Sandia National Laboratories since May of 1994. His research centers on stochastic simulation of heterogeneous properties and the numerical modeling of physical processes in heterogeneous media. Dr. McKenna's is also interested in optimization techniques applied to problems in the earth and environmental sciences. Dr. McKenna has a B.A. in Geology from Carleton College, an M.S. in Hydrology from the University of Nevada, Reno and a Ph.D in Geological Engineering from the Colorado School of Mines.
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Roger Bilisoly (505-844-5165) has been working at Sandia National Laboratories since August, 2001. His research focuses on variability and uncertainty in physical systems using tools from statistical modeling, stochastic simulation and optimization. Dr. Bilisoly earned a B.A. in Mathematics from the University of Chicago, an M.S. in Applied Mathematics from Purdue Univerisity, completed graduate course work in Physics at Drexel University, and graduated with a Ph.D. in Statistics from The Ohio State University.
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Chris Rautman (505-844-2109) has worked at Sandia National Laboratories since 1985. Prior to joining Sandia, Dr. Rautman spent nearly 10 years in mining and geologic research. His current research centers on applications of geologic spatial modeling and uncertainty analysis to various field applications, including site characterization, environmental restoration, and engineering. Dr. Rautman has a B.A. in Geology from Carleton College, an M.S. and Ph.D. in Geology from the University of Wisconsin - Madison, and an Ex.M.B.A. from the University of New Mexico.
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Bill Arnold (505-284-4603) has been working at Sandia National Laboratories in the Nuclear Waste Management Center since August of 1994. His research has focused on modeling groundwater flow and radionuclide transport in fractured and porous media. Dr. Arnold has also worked in the area of probabilistic risk assessment related to contaminant migration. Dr. Arnold has a B.S and M.S. in Geology from Kansas State University and a Ph.D. in Hydrogeology from the University of Wisconsin-Madison.
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Visiting Professor
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Tim Coburn is on the faculty at Abilene Christian University in Abilene, TX. His research interests are in spatial statistics and sampling processes applied to various problems in envrionmental and earth sciences. At Sandia he is working on the UXO site characterization problem for SERDP investigating the efficiency and effectiveness of transect sampling methods. Dr. Coburn holds a BS in mathematics/physics from Abilene Christian University, an MS in Statistics from Oklahoma State University, and a Ph.D. in statistics from Oklahoma State University.
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Postdoctoral Appointee
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Hirotaka Saito is currently a postdoctoral fellow at Sandia, working for the DoD UXO site characterization project. He has been developing the geostatistical methodologies to make the efficient UXO excavation decisions. His research interests include geostatistical modeling of spatial uncertainties for environmental problems, such as remediation designs. Dr. Saito has a B.S. in Agricultural Engineering and an M.S. in Biological and Environmental Engineering from the University of Tokyo, and a Ph.D. in Environmental Engineering from The University of Michigan.
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Students (Contact Us for Undergraduate/Graduate Student Internships)
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Carlos Aragon is a senior at the University of New Mexico where he is majoring in Civil Engineering. He worked with us from Fall 2000 through Summer 2001 on comparing techniques for efficient site characterization sampling under the joint DOE-Russian Academy of Sciences project. Carlos also assisted in data analysis for the JNC Site Characterization project.
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Orlando Garcia is a Sophomore in Computer Engineering at the University of New Mexico. He started working with us in January of 2002. Mr. Garcia has worked on processing JNC borehole geophysical data for neural network analyses and writing codes for accessing large databases of disease records. He is currently examining the sensitivity of Poisson change point statistics for unexploded ordnance (UXO).
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David Hart is a senior at Utah State University where he is majoring in Computer Engineering. He spent the summers of 2001 and 2002 with us working on stochastic inverse modeling of transmissivity fields in support of the WIPP and WIPP International Program. He also helped build our new 16 node parallel PC cluster running Linux that was used for the inverse modeling.
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Mike Lefrancois joined us from July through December of 2002. Mike finished a B.S in Earth Sciences at the University of California at Santa Cruz in the sping of 2002. Mike spent his time at Sandia working on numerical modeling of groundwater flow and solute transport in heterogeneous domains and tuning a genetic algorithm for stochastic inverse modeling of heterogeneous fields.
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Juliana Leung is a graduate student from the University of Calgary, Canada, with a BSC in chemical engineering. She is now working on a Master's Degree at the University of Texas in Austin, TX. The project that Juliana is working on at Sandia is the integration of seismic data for reservoir modeling. Her general research interests are mass transfer and flow phenomena problems.
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Chad Peyton is a graduate student in the Ph.D. program in Computer Science at New Mexico Tech University and has been working with us since the Spring of 2001. In the spatial statistics group, Chad has been working on building and maintaining a parallel PC cluster, developing a GUI's and algorithms for statistical, geostatistical and machine-learning optimization applications.
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Arun Wahi recently completed a B.S. in chemical engineering at Carnegie Mellon University. He will go on to pursue his M.S./PhD at the University of Arizona in the Department of Hydrology and Water Resources. As a research assistant to Brenda Ekwurzel, he will use noble gas tracers and numerical modeling to study mountain block recharge. His work in 6115 has included an investigation of the effects of measurement error and well network geometry on the estimation of hydraulic gradients, inverse parameter estimation, and graphical data realization.
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