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Expert has 20 year experience in the geostatistical analysis of environmental data and health outcomes. He has more than 140 referred
publications in the field of theoretical and applied geostatistics, including the 4th most highly cited textbook in geostatistics, totaling 10,000
citations. This demonstrates not only his expertise in spatial statistics but also his ability to communicate technical results in clear and layman
terms. He has been teaching short courses on all six continents, which were attended by academics, consultants and federal employees.

Since 2002, expert has been a sub-contractor on numerous projects dealing with the characterization of air, soil, sediments and water pollution
and its impact on human health. Clients include federal and local agencies (Environmental Protection Agency, the Nuclear Regulatory
Commission, SJWMD, Tacoma-Pierce County Health Department), foreign organizations (French Institute for Radiological Protection and
Nuclear Safety, French National Institute for Industrial Environment and Risks), Universities (University of Nebraska, University of Michigan,
Florida A&M University, Tufts University, University of Louvain-la-Neuve in Belgium), individuals and private companies (CDM, CSC,
Scoreboard, Terumo, ERIM, STRATUS consulting). Duties ranged from reviewing report and conducting (geo)statistical analysis of
environmental data, including sampling design and remediation plan, to the development of new methodologies and customized programs for
performing such analysis.

He is an expert is geostatistical interpolation (univariate and multivariate interpolation, two-dimensional and three-dimensional kriging, space-time
interpolation), change of spatial support, modeling and propagation of uncertainty (parametric and non-parametric approach, stochastic simulation,
Monte-Carlo methods), detection of spatial outliers (cluster and boundary analysis, spatial pattern recognition), tests of hypothesis and regression
(aspatial and geographically-weighted regression, landuse regression), multivariate analysis (principal component analysis, discriminant analysis,
classification), and spatial epidemiology (analysis of individual-level and aggregated data, exposure reconstruction, cluster detection). The list of
his past projects includes: 1. incorporation of both wind rose information and field data in the geostatistical estimation and simulation of arsenic
concentration around Tacoma smelter, followed by the computation of the probability of exceeding specific arsenic levels with given reliability at
residential and block-group levels, 2. mapping of the spatial distribution of 43 different soil pollutants (organic and inorganic) over the entire
Walloon region (16,844 km2) using data collected during several sampling campaigns, models of atmospheric depositions in urban areas,
information on soil type and landuse, 3. development of a space-time geostatistical approach for estimating air pollutant concentrations at
addresses of patients participating to an epidemiological study investigating relationships between exposure to ambient air pollution and
cardiovascular morbidity and mortality, 4. geostatistical incorporation of field and atmospheric deposition data from the Midland incinerator for
modeling the spatial distribution of soil dioxin at the census-tract level and computing the probability of exceeding specific thresholds, 5.
geostatistical modeling of groundwater concentration in Arsenic in Michigan, followed by exposure reconstruction to explore relationship between
arsenic in drinking water and bladder cancer, 6. development of estimates of the spatial extent and degree of oiling along Louisiana following
Deepwater Horizon Oil Spill.

As a private consultant on the Tacoma Smelter Plume project (biggest case of soil arsenic contamination in the US), Expert: 1) designed a sampling scheme that accommodates the resources available (i.e. number of samples) and criteria set by Ecology (e.g. target areas of largest uncertainty about arsenic concentrations or the probability of exceeding specific arsenic levels), and 2) compared the power of different composite sampling design options when deciding whether the average arsenic concentration within a residential parcel exceeds or not specific thresholds. This information was used to design a residential sampling and remediation program that is currently under way. Expert has provided his expertise on the "Dioxin Exposure Study" conducted by the University of Michigan. Elevated levels of dioxins have been found in the soil of the Tittabawassee River flood plain and nearby areas. Beginning in the fall of 2004, the University of Michigan conducted a two-year study to find out whether the elevated levels of dioxins in the soil in the city of Midland, and in the Tittabawassee River flood plain between Midland and Saginaw, have also caused elevated levels of dioxins in residents' bodies. His main duties involved the geostatistical incorporation of field and atmospheric deposition data from the incinerator for modeling the spatial distribution of soil dioxin in Midland. This information was used to design a second sampling campaign during which soil and blood samples were collected. Expert is currently assisting Stratus Consulting in developing estimates of the spatial extent and degree of oiling along Louisiana shorelines resulting from the Deepwater Horizon oil spill. Expert has conducted a geostatistical evaluation of soil arsenic background level for a former commercial property, followed by a 3D modeling of the spatial distribution of soil lead and arsenic concentrations and delineation of areas that exceed the clean up level. Expert has provided written and oral review of XS’ AgVeritas product methodology to analyze spatially-reference data in the area of precision agriculture.