Grace Chiu
Professor
Email: [[gschiu]]
Office: Andrews Hall 337
Department: Fisheries Science
Phone: (804) 6847221
Research Lab: {{https://www.vims.edu/research/units/labgroups/estdats, Environmental Statistics and Transdisciplinary Data Science (ESTDatS)}}
Curriculum Vitae: {{http://faculty.washington.edu/gchiu/cv.pdf, URL}}
Google Scholar: {{http://goo.gl/nG7rui, URL}}
Interests
Methodological 
Subject Areas 



Education
PhD in Statistics (2002), Simon Fraser University, Canada MSc in Statistics (1996), University of British Columbia, Canada
 BSc in Mathematics, Statistics (double major) (1994), University of British Columbia, Canada
Research Interests
I am a transdisciplinary statistician and data scientist who develops integrative, holistic statistical methodologies for multifaceted problems, mainly from the environmental and biological sciences. Under an integrative methodological framework, one can formulate a single (often complex) model to address multiple scientific questions simultaneously in a unified manner. A statistical framework addresses research questions through statistical inference (databased estimation of parameters and their uncertainty). Thus, an integrative statistical methodology is a single statistical inference framework that unifies the multifaceted evidencebased research, with valid uncertainty propagation across facets. Contrast this with a series of standalone statistical analyses (e.g. through offtheshelf software packages), whereby the parameter and uncertainty estimates from any analysis in the series correspond purely to one narrow aspect of the overarching research while neglecting the crucial role of uncertainty from the other aspects altogether.
I have coined the nomenclature of some of my methodologies, e.g. the bentcable regression approach, the latent health factor index (LHFI) modeling framework, the assessment of similarity in preference between networked individuals, and the multiresolution heritability measure.
I develop most of my work under the Bayesian inference paradigm — its flexibility facilitates the proper modeling of complex natural phenomena, typically coupled with complex processes under which data are observed, thereby giving rise to “bigdata” structures that are convoluted. An extreme example of convoluted structure might be data on the temporal evolution of the 3dimensional movement of marine plankton, monitored by a coordinated network of sources — e.g. telemetry data, field observations,
Complexity can also arise when subjectmatter theoretical models (e.g. process models, computer simulation models) exist alongside data. I have been employing Bayesian melding to integrate the theoretical model as a type of strong prior
Selected Publications
Authors under my supervision marked with *:
 Chiu, G.S., Mitchell, M., Herman, J., Longo, C.*, Davis, K.* (2023). “Enhancing assessments of blue carbon stocks in marsh soils using Bayesian mixedeffects modeling with spatial autocorrelation — proof of concept using proxy data,” Frontiers in Marine Science 9:1056404. DOI: 10.3389/fmars.2022.1056404
 Hyman, A.C.*, Chiu, G.S., Fabrizio, M.C., Lipcius, R.N. (2022). “Spatiotemporal modeling of nursery habitat using Bayesian inference: environmental drivers of juvenile blue crab abundance,” Frontiers in Marine Science 9:834990. DOI: 10.3389/fmars.2022.834990

Wasson, A.P., Chiu, G.S., Zwart, A.B., Binns, T.R.* (2017). “Differentiating wheat genotypes by Bayesian hierarchical nonlinear mixed modeling of wheat root density,” Frontiers in Plant Science 8:282. DOI: 10.3389/fpls.2017.00282

Chiu, G.S., Lehmann, E.A., Bowden, J.C. (2013). “A spatial modeling approach for the blending and error characterization of remotely sensed soil moisture products.” Journal of Environmental Statistics 4:9, 1–17. ISSN: 19451296. http://www.jenvstat.org/v04/i09

Chiu, G.S., Wu, M.A.*, Lu, L. (2013). “Modelbased assessment of estuary ecosystem health using the latent health factor index, with application to the Richibucto estuary,” PLoS One 8:6, e65697, 1–12. DOI: 10.1371/journal.pone.0065697

Chiu, G.S., Westveld, A.H. (2011). “A unifying approach for food webs, phylogeny, social
networks, and statistics.” Proceedings of the National Academy of Sciences of the USA 108, 15881–15886. DOI: 10.1073/pnas.1015359108 
Chiu, G.S., Gould, J.M.* (2009–2010). “Statistical inference for food webs with emphasis on ecological networks via Bayesian melding,” Environmetrics 21, 728–740. DOI: 10.1002/env.1035

Chiu, G., Lockhart, R., Routledge, R. (2006). “Bentcable regression theory and applications,” Journal of the American Statistical Association 101, 542–553. DOI:
10.1198/016214505000001177
Research Students and Interns
 Mahshid AHMADIAN, PhD student (current), Virginia Commonwealth University
 Julie GROSS, PhD Student (current), VIMS
 Challen HYMAN, PhD student (current), VIMS
 Kate DAVIS, Undergraduate RA (2022), VIMS ESTDatS Lab
 Swen KUH,
PhD in Statistics (2022), Australian National Unversity  Christian LONGO, Honors in Applied Statistics (2022), William & Mary Computational & Applied Mathematics & Statistics (CAMS)
 Caleb BAKER, Honors in Applied Statistics (2021), William & Mary CAMS
 Kayla RUTHERFORD, REU Summer Internship (2019), VIMS
 Mark DAWKINS, Honours in Statistics (2017), Australian National Unversity
 Megan
EVANS ,PhD in Environmental Policy (2017), Australian National Unversity  Timothy BINNS, Summer Vacation Internship (2014–2015), CSIRO
 Swen KUH, Summer Research Internship (2014–2015), Australian National Unversity
 Seoyoon CHO, Industrial Research Traineeship (2014), CSIRO
 Hyangki LEE, Industrial Research Traineeship (2014), CSIRO
 Shahedul KHAN,
PhD (2010) in Biostatistics, University of Waterloo  Margaret WU, MMath (2009) in Biostatistics, University of Waterloo
 Joshua GOULD, MMath (2008) in Statistics, University of Waterloo
 Joslin GOH, Undergraduate Research Internship (2007) and International Work Study Program (2007), University of Waterloo
Professional Affiliations
 Affiliate Faculty, William & Mary CAMS
 Affiliate Professor, Department of Statistical Sciences and Operations Research, Virginia Commonwealth University
 Adjunct Professor of Statistics, Department of Statistics and Actuarial Science, University of Waterloo, Canada
 Founding Member (2008–2009), UW Interdisciplinary Centre on Climate Change
 Honorary Associate Professor (Level D)^{#}, Institute for Climate, Energy & Disaster Solutions^{+}, Australian National University
 Founding International Partner (ANU), Foundations of Data Science for Industry and Enterprise (a Science Foundation Ireland's Centre for Research Training)
 Affiliate Associate Professor, Department of Statistics, University of Washington, Seattle
 Associate Editor, Environmetrics (official journal of TIES)
 Associate Editor, Journal of the American Statistical Association
 Member, American Statistical Association (ASA)
 2012 Young Investigator Awardee, ASA Section on Statistics and the Environment
 Elected Member (2011), International Statistical Institute (ISI)
 Member, The International Environmetrics Society (TIES)
 Webmaster (2006–2013)
 Member, International Society for Bayesian Analysis (ISBA)
 2021 Program Chair (elected) for EnviBayes Section
 Member, Statistical Society of Canada (SSC)
 2003 Pierre Robillard Awardee for best Ph.D. thesis from 2002
 Member, Statistical Society of Australia (SSA)
^{# Australian Level D is equivalent to North American Full Professor. + Formerly the Climate Change Institute.}
Outreach
 Mentor, William & Mary Women's Mentoring
 Founding Committee Member, Virgina Women in High Performance Computing