CV

Ephraim M. Hanks

Associate Professor of Statistics

The Pennsylvania State University

Millenium Science Complex W-250

University Park, PA 16801

(814)865-2956

hanks@psu.edu

www.sites.psu.edu/hanks

EDUCATION

2013 Ph.D. Statistics Colorado State University Adviser: Mevin B. Hooten
2010 M.S. Statistics Utah State University Adviser: Mevin B. Hooten
2002 B.S. Mathematics Utah State University

PEER-REVIEWED PUBLICATIONS

A Walder, EM Hanks, A Slavkovic (In Review). Privacy for spatial point process data.

NB Wikle, EM Hanks, CM Zigler (In Review). Mechanistic models for spatial data from Ornstein-Uhlenbeck Processes.

S Zarmehri, EM Hanks, L Lin (To Appear). Correlogram based approaches for spatial genetic data. Journal of Agricultural, Biological, and Environmental Statistics.

T Wagner, NR Lottig, ML Bartley, EM Hanks, EM Schliep, NB Wikle, KBS King, I McCullough, J Stachelek, KS Cheruvelil, CT Filstrup, JF Lapierre, B Liu, PA Soranno, PN Tan, Q Wang, KE Webster, J Zhou (2020). Increasing accuracy of lake nutrient predictions in thousands of lakes by leveraging water clarity data. Limnology and Oceanography Letters 5(2):228-235

SL White, EM Hanks, T Wagner (2020). A novel quantitative framework for riverscape genetics. Ecological Applications 30(7):e02147.

PA Soranno, KS Cheruvelil, B Liu, Q Wang, PN Tan, J Zhou, KBS King, IM McCullough, J Stachelek, M Bartley, CT Filstrup, EM Hanks, JF Lapierre, NR Lottig, EM Schliep, T Wagner, KE Webster (2020). Ecological prediction at macroscales using big data: Does sampling design matter? Ecological Applications e02123

VL DeLeo, DNL Menge, EM Hanks, TE Juenger, JR Lasky (2020). Effects of two centuries of global environmental variation on phenology and physiology of Arabidopsis thaliana. Global Change Biology 26(2):523-538

D Wijeyakulasuriya, EM Hanks, BA Shaby (2020). Machine learning methods for animal movement. PloS ONE 15(7) e0235750.

VL De Leo, DNL Menge, EM Hanks, TE Juenger, JR Lasky (2020). Effects of two centuries of global environmental variation on phenology and physiology of Arabidopsis thaliana. Global Change Biology https://doi.org/10.1111/gcb.14880.

E Eisenhauer, EM Hanks (2020). A lattice and random intermediate point sampling design for animal movement. Environmetrics e2618.

A Walder, EM Hanks (2020). Bayesian analysis of spatial generalized linear mixed models with Laplace moving average random fields. Computational Statistics and Data Analysis 144:10681.

ML Bartley, EM Hanks, EM Schliep, PA Soranno, T Wagner (2019). Identifying and characterizing extrapolation in multivariate response data. PLoS One 14(12): e0225715.

NB Wikle, EM Hanks, DP Hughes (2019). A dynamic individual-based model for high-resolution ant interactions. Journal of Agricultural, Biological, and Environmental Statistics 24(4):589-609.

PC Cross, DJ Prosser, AM Ramey, EM Hanks, KM Pepin (2019). Confronting models with data: the challenges of estimating disease spillover. Philosophical Transactions of the Royal Society B. 374(1782):20180435.

AP Modlmeier, E Colman, EM Hanks, R Bringenberg, S Bansal, DP Hughes (2019). Ant colonies maintain social homeostasis in the face of decreased density. eLife 8:e38473.

EE Peterson, EM Hanks, MJ Fortin, JM Ver Hoef, MB Hooten (2019). Spatially structured statistical network models for landscape genetics. Ecological Monographs. 89(2):e01355.

D Wijeyakulasuriya, EM Hanks, BA Shaby, PC Cross (2019). Extreme value based methods for modeling elk dispersal. The Journal of Agricultural, Biological, and Environmental Statistics. 24(1):73-91.

FE Buderman, MB Hooten, MW Alldredge, EM Hanks, JS Ivan (2018). Time-varying predatory behavior is primary predictor of fine-scale movement of wildland-urban cougars. Movement Ecology 6:22.

J Fricks, EM Hanks (2018). Stochastic population models. Integrated Population Biology and Modeling 39:11443

A Brennan, JA Merkle, EM Hanks, EK Cole, SR Dewey, AB Courtemanch, PC Cross (2018). Examining speed versus selection in connectivity models using elk migration as an example. Landscape Ecology 33(6):955-968.

JM Ver Hoef, EM Hanks, MB Hooten (2018). On the relationship between conditional (CAR) and simultaneous (SAR) autoregressive models. Spatial Statistics 25:68-85.

ES Gracia, C de Bekker, EM Hanks, and DP Hughes (2018). Within the fortress: a specialized parasite is not discriminated against in a social insect society. PloS ONE 13(2):e0193536.

JM Ver Hoef, EE Peterson, MB Hooten, EM Hanks, and Marie-Josee Fortin (2018). Spatial autoregressive models for statistical inference from ecological data. Ecological Monographs 88(1):36-59.

K Wilson, EM Hanks, DS Johnson (2018). Estimating animal utilization densities using continuous-time Markov chain models. Methods in Ecology and Evolution 2018:1-9.

JC Russell, EM Hanks, M Haran, DP Hughes (2018). A spatially-varying stochastic differential equation model for animal movement. The Annals of Applied Statistics 12(2):1312-1331.

EM Hanks, DS Johnson, MB Hooten (2017). Reflected stochastic differential equation models for constrained animal movement. The Journal of Agricultural, Biological, and Environmental Statistics 22(3):353-372.

JC Russell, EM Hanks, DP Hughes (2017). Modeling collective animal movement through interactions in behavioral states. The Journal of Agricultural, Biological, and Environmental Statistics 22(3):313-334.

TJ Hefley, MB Hooten, EM Hanks, RE Russell, DP Walsh (2017). Dynamic spatio-temporal models for spatial data. Spatial Statistics 20:206-220.

TJ Hefley, MB Hooten, EM Hanks, RE Russell, DP Walsh (2017). The Bayesian group lasso for confounded spatial data. Journal of Agricultural, Biological, and Environmental Statistics 22(1):42-59.

EM Hanks (2017). Modeling spatial covariance using the limiting distribution of spatio-temporal random walks. Journal of the American Statistical Association 112(518):497-507.

MB Hooten, FE Buderman, BM Brost, EM Hanks, JS Ivan (2016). Hierarchical animal movement models for population-level inference. Environmetrics 27(6):322-333.

EM Hanks, MB Hooten, ST Knick, SJ Oyler-McCance, JA Fike, TB Cross, MK Schwartz (2016). Latent spatial models and sampling design for landscape genetics. The Annals of Applied Statistics 10(2):1041-1062.

JC Russell, EM Hanks, M Haran (2016). Dynamic models of animal movement with spatial point process interactions. Journal of Agricultural, Biological, and Environmental Statistics 21(1):22-40.

BM Brost, MB Hooten, EM Hanks, RJ Small (2015). Animal movement constraints improve resource selection inference in the presence of telemetry error. Ecology 96:2590-2597.

LE Quevillon, EM Hanks, S Bansal, DP Hughes (2015). Social, spatial, and temporal organization in a complex insect society. Scientific Reports 5:13393.

EM Hanks, MB Hooten, MW Alldredge (2015). Continuous-Time, Discrete-Space Models of Animal Movement. The Annals of Applied Statistics 9(1):145-165.

EM Hanks, EM Schliep, MB Hooten, JA Hoeting (2015). Restricted spatial regression in practice: geostatistical models, confounding, and robustness under model misspecification. Environmetrics 26(4): 243-254.

MB Hooten, EM Hanks, DS Johnson, MW Alldredge (2014). Temporal variation and scale in movement-based resource selection functions. Statistical Methodology 17: 82-98.

EM Hanks, MB Hooten (2013). Circuit theory and model-based inference for landscape connectivity. Journal of the American Statistical Association. 108(501), 22-33.

MB Hooten, EM Hanks, DS Johnson, MW Alldredge (2013). Reconciling resource utilization and resource selection functions. Journal of Animal Ecology. 82(6), 1146-1154

EM Hanks, MB Hooten, DS Johnson, JT Sterling (2011). Velocity-based movement modeling for individual and population level inference. PLoS ONE. 6(8), e22795

EM Hanks, MB Hooten, FA Baker (2011). Reconciling multiple data sources to improve accuracy of large-scale prediction of forest disease incidence. Ecological Applications 21(4), 1173-1188.

MB Hooten, DS Johnson, EM Hanks, JH Lowry (2010). Agent-based inference for animal movement and selection. Journal of Agricultural, Biological, and Environmental Statistics 15(4), 523-538.

FUNDING

2020-2023 Statistical Approaches for Spatio-Temporal Stochastic Population Models. Role: Sole PI. NSF DMS-2015273 ($210,000)
2016-2021 A macrosystems ecology framework for continental-scale prediction and understanding of lakes. Role: Co-PI (PI of PSU Portion). NSF MSB 1638539 ($4,254,992, PSU portion $474,326)
2018-2019 Estimating and predicting landscape factors associated with elk connectivity and Brucellosis spread. Role: PI. USGS G16AC00055 ($24,675)
2016-2017 Estimating and predicting landscape factors associated with elk connectivity and Brucellosis spread. Role: PI. USGS G16AC00055 ($24,675)
2016-2021 From cells to societies: mechanisms by which microbial parasites control hosts phenotypes. Role: Co-PI. PI: David Hughes. NIH GM116927-01 ($1,854,715)
2015-2017 Development of crash modification factors. Role: Co-PI. PI: Eric Donnell. Contract: Vanasse Hangen Brustlin, Inc. ($127,591)
2014-2019 Ants as tools to study socio-ecological processes that influence the transmission dynamics of infectious diseases. Role: Co-PI. PI: David Hughes. NSF EEID 1414296 ($1,830,000).

INVITED TALKS

2020 Frontiers of Science series, Pennsylvania State University
2019 Brigham Young University
2018 Tri-State Brucellosis Research Group Meeting
2018 Joint Statistical Meetings
2018 Penn State Hershey Biostatistics
2018 University of Montreal
2018 University of Washington
2017 Cornell University
2017 Texas A&M University
2017 Tri-State Brucellosis Research Group Meeting
2017 Meetings of the French Statistical Society
2017 Georgetown University
2016 Tri-State Brucellosis Research Group Meeting
2016 Joint Statistical Meetings (JSM)
2016 Symposium on Research Methodologies in the Big Data Era (SRMBD)
2015 CMStatistics
2015 Meetings of the Wildlife Society (TWS)
2015 Southern Research Council on Statistics Summer Conference (SRCOS)
2015 SAMSI Transition Workshop on Mathematical and Statistical Ecology
2015 Eastern North American Meeting of the International Biometric Society (ENAR)
2015 RCN Forecast Working Group
2014 Meetings of the International Indian Statistical Association (IISA)
2014 Joint Statistical Meetings (topic-contributed)
2013 The Ohio State University
2013 The Pennsylvania State University
2013 University of Alberta
2013 Montana State University
2013 University of Wyoming
2013 Virginia Technical Institute
2013 University of Missouri
2012 RCN FORECAST Conference
2012 Brigham Young University
2011 Meetings of The Wildlife Society
2011 Joint Statistical Meetings (topic-contributed)
2010 Meetings of The International Environmetrics Society

AWARDS

2017 Early Investigator Award. ASA Section on Statistics and the Environment.
2012 1st Place, Student Paper Competition. ASA Section on Statistics and the Environment.
2012 James L., M. Leslie, and Edna Madison Memorial Award. Colorado State University Department of Statistics.
2011 JSM Presentation Award. ASA Section on Statistics and the Environment.
2011 Runner Up, Student Paper Competition. ASA Section on Statistics and the Environment.
2010 NSF Graduate Research Fellowship Honorable Mention. National Science Foundation.
2010 College of Science M.S. Researcher of the Year. Utah State University.

Advising

Past Students

  1. James Russell, Ph.D in Statistics, PSU, 2016. Joint advisor with Murali Haran. Dissertation title: Stochastic models for individual and collective animal movement. Current position: Assistant Professor of Mathematics, Muhlenberg College.
  2. Dhanushi Wijeyelakasuriya, Ph.D in Statistics, PSU, 2020. Joint advisor with Ben Shaby. Dissertation title: Machine learning models for animal movement.  Current Position: Data Scientist, Microsoft.
  3. Meridith Bartley, Ph.D in Statistics, PSU, 2020. Dissertation title: Advances in Statistical Ecology.  Current Position: Research Scientist, USGS Rocky Mountain Research Center.

Current Students

Sahar Zharmedi, Ph.D Candidate in Statistics, PSU. Joint advisor with Lynn Lin

Nathan Wikle, Ph.D Candidate in Statistics, PSU.

Adam Walder, Ph.D Candidate in Statistics, PSU.

Liz Eisenhauer, Ph.D Candidate in Statistics, PSU.

Emily Strong, Ph.D Candidate in Statistics, PSU.

EDITORIAL EXPERIENCE

2014-2021 Ecological Applications (Subject Matter Editor).
2018-2021 Journal of Agricultural, Biological, and Environmental Statistics (Associate Editor.

REFEREE EXPERIENCE

2020 Journal of the American Statistical Association, Journal of Agricultural, Biological, and Environmental Statistics, Annals of Applied Statistics, Bayesian Analysis, Nature Communications, International Statistical Reviews, Biometrics, Computational Statistics and Data Analysis, Ecology.
2019 Journal of the American Statistical Association, Ecological Applications, Journal of Agricultural, Biological, and Environmental Statistics, Annals of Applied Statistics, Bayesian Analysis, Nature Communications, International Statistical Reviews, Biometrics, Computational Statistics and Data Analysis, Ecology.
2018 Journal of the American Statistical Association, Journal of Agricultural, Biological, and Environmental Statistics, Annals of Applied Statistics, Bayesian Analysis, Nature Communications.
2017 Journal of the American Statistical Association, Journal of Agricultural, Biological, and Environmental Statistics, Annals of Applied Statistics, The R Journal.
2016 Biometrics, Environmetrics, Bayesian Analysis, Statistica Sinica, The R Journal, Proceedings of the Royal Society Series B, Ecological Applications.
2015 Biometrics, Journal of Agricultural, Biological, and Environmental Statistics, Computational Statistics and Data Analysis, Annals of Applied Statistics, Environmetrics.
2014 Annals of Applied Statistics, Biometrics, Ecological Applications, Statistica Sinica, Journal of Agricultural, Biological, and Environmental Statistics.
2013 Annals of Applied Statistics, Statistica Sinica, Journal of Agricultural, Biological, and Environmental Statistics, Statistical Methodology, Ecology Letters, Journal of Applied Ecology.
2012 Annals of Applied Statistics, Journal of Agricultural, Biological, and Environmental Statistics, Methods in Ecology and Evolution, Journal of Wildlife Management.
2011 Ecological Applications, Methods in Ecology and Evolution

TEACHING EXPERIENCE

The Pennsylvania State University

2013, 2014 STAT 416: Stochastic Processes
2014, 2015, 2016, 2019, 2020 STAT 511: Regression
2018 STAT 512: Design and Analysis of Experiments
2014 STAT 440: Computational Statistics
2015, 2016, 2017, 2018, 2019 STAT 461: Design and Analysis of Experiments

Utah State University

2009, 2010 Intermediate Algebra

SERVICE

The Pennsylvania State University

2018-Present Graduate Program Chair, Department of Statistics
2016-2018 Graduate Admissions Committee
2013-2018 Undergraduate Adviser
2016 Qualifying Exam Committee
2014-2015 Colloquium committee chair
2014 MS Exam Committee
2014, 2018 Graduate Academic Adviser
2015-2018 Data Science Steering Committee