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Scholarly Interest Report
         
Genevera Allen
Assistant Professor
Dobelman Family Junior Chair and Assistant Professor of Statistics
 
e-mail:gallen@rice.edu
 
  • Ph.D. Statistics (2010) Stanford University, Stanford, CA
  • B.A. Statistics (2006) Rice University , Houston, TX
 
Primary Department
   Department of Statistics
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Department Affiliations
 
  • Department of Electrical and Computer Engineering
  •  
    Other Affiliations
     
  • Baylor College of Medicine
  •  
    Sparce Generalized PCA
     

    Matlab Toolbox, coming soon, available upon request.

     
    KNIFE: KerNel Iterative Feature Extraction
     

    Matlab functions, July 2011

     
    Transposable Regularized Covariance Models
     

    R functions, June 2011


     

     
    Tsphere: Transposable Sphering for large-scale inference with correlated data
     

    R package, November 2011

     
    Sparse Non-Negative Generalized PCA
     

    Matlab functions, June 2011

     
    Websites
     Dr. Allen's Web Page
     Dr. Genevera Allen's Web Page
     
    Research Areas
     Statistical Learning; Modern Multivariate Analysis; Data Integration; Graphical Models; High-Dimensional Data; Applications in Bioinformatics and Neuroscience
     
    Selected Publications
     Refereed articles
     

    D. Inouye, E. Yang, G. I. Allen, and P. Ravikumar "A Review of Multivariate Distributions for Count Data Derived from the Poisson Distribution, (Invited Revision)." WIREs Computational Statistics (2016) Submitted

     
     

    E.C. Chi, G.I. Allen, and R. Baraniuk "Convex Biclustering, (To Appear)." Biometrics, arXiv:1408.0856 (2016) In Press

     
     

    G. I. Allen et all (100+ authors in alphabetical order) "Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease." Alzheimer's & Demetria, 12:6 (2016) : 645-653.

     
     

    J. Nagorski and G.I. Allen "Genomic Region Detection via Spatial Convex Clustering (Submitted) ." Biostatistics, arXiv:1611.04696 (2016) Submitted

     
     

    M. Narayan and G. I. Allen "Mixed Effects Models for Resampled Network Statistics Improves Statistical Power to Find Differences in Multi-Subject Functional Connectivity." Frontiers in Neuroscience, 10:108 (2016)

     
     

    Y. W. Wan, G. I. Allen, Y. Baker, E. Yang, P. Ravikumar, and Z. Liu "XMRF: An R package to fit Markov Networks to High-Throughput Genetics Data, (To Appear)." BMC Systems Biology (2016) In Press

     
     

    Y.W. Wan, G.I. Allen, and Z. Liu "TCFA2STAT: Simple TCGA Data Access for Integrated Statistical Analysis in R." Bioinformatics, 32:6 (2016) : 952-954.

     
     

    Allen, G. Peters et al "Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease, (Invited Revision)." Alzheimer's & Dementia (2015) Submitted

     
     

    E. Yang, P. Ravikumar, G. I. Allen, and Z. Liu "Graphical Models via Univariate Exponential Family Distributions"." Journal of Machine Learning Research, 16 (2015) : 3813-3847.

     
     

    F. Campbell and G.I. Allen "Within Group Variable Selection through the Exclusive Lasso." arXiv:1505.07517 (2015) Submitted

     
     

    G. I. Allen, Y. Hu, and F. Campbell "Comments on "Visualizing Statistical Models": Visualizing Modern Statistical Methods for Big Data." Statistical Analysis and Data Mining, 8:4 (2015) : 226-228.

     
     

    M. Narayan, G.I. Allen, S. Tomson "Two Sample Inference for Populations of Graphical Models with Applications to Functional Connectivity." Frontiers in Neuroscience, arXiv:1502.03853 (2015) Submitted

     
     

    S. Tomson, M. Schreiner, M. Narayan, T. Rosser; N. Enrique, A. J. Silva, G. I. Allen, S. Y. Bookheimer, and C. Bearden "Resting state functional MRI reveals abnormal network connectivity in Neuro bromatosis 1." Human Brain Mapping, 36:11 (2015) : 4566-4581.

     
     

    Y. Hu and G.I. Allen "Local-Aggregate Modeling for Big-Data via Distributed Optimization: Applications to Neuroimaging." Biometrics, 71:4 (2015) : 905-917.

     
     

    Y. Hu, E. C. Chi, and G. I. Allen "ADMM Algorithmic Regularization Paths for Sparse." Operator Splitting and Alternating Direction Methods, (forthcoming) (2015) Submitted

     
     

    Y. W. Wan, G. I. Allen, Y. Baker, E. Yang, P. Ravikumar, and Z. Liu "XMRF: An R package to t Markov Networks to High-Throughput Genetics Data." BMC Genomics (2016) In Press

     
     Articles
     

    E. C. Chi, G. I. Allen, and R. Baraniuk "Convex Biclustering." Invited Revision Biometrics, arXiv:1408.0856 (2014) Submitted

     
     

    E. Yang, P. Ravikumar, G. I. Allen, Y. Baker, Y. Wan, and Z. Liu, "A General Framework for Mixed Graphical Models." arXiv:1411.0288 (2014) Submitted

     
     

    G. I. Allen, L. Grosenick and J. Taylor "A Generalized Least Squares Matrix Decomposition." Journal of the American Statistical Association: Theory and MEthods, 109:505 (2014) : 145-159.

     
     

    S. Tomson, M. Schreiner, M. Narayan, T. Rosser; N. Enrique, A. J. Silva, G. I. Allen, S. Y. Bookheimer, and C. Bearden "Resting state functional MRI reveals abnormal network connectivity in Neuro bromatosis 1." Invited Revision Human Brain Mapping (2014) Submitted

     
     

    Y. Hu and G. I. Allen "Local-Aggregate Modeling for Big-Data via Distributed Optimization: Applications to Neuroimaging." Invited Revision Biometrics, arXiv:1405.0629 (2014) Submitted

     
     

    Y. Liu and G. I. Allen "Review of Introduction to Statistical Learning with Applications in R." Journal of the American Statistical Association, to appear (2015) In Press

     
     

    Y. Wan, C. M. Mach, G. I. Allen, M. L. Anderson, and Z. Liu "On the Reproducibility of TCGA Ovarian Cancer MicroRNA Proles." PLoS ONE, 9:1 (2014)

     
     

    E. Yang, P. Ravikumar, G. I. Allen, and Z. Liu "On Graphical Models via Univariate Exponential Family Distributions, Submitted, arXiv:1301.418."  (2013) Submitted

     
     

    G. I. Allen, C.B. Peterson, M. Vannucci, and M. Maletic-Savatic "Regularized Partial Least Squares with an Application to NMR Spectroscopy." Statistical Analysis and Data Mining, 6:4 (2013) : 302-314.

     
     

    G.I. Allen "Automatic Feature Extraction via Weighted Kernels and Regularization." Journal of Computational and Graphical Statistics, 22:2 (2013) : 284-299.

     
     

    G.I. Allen "Sparse and Functional Principal Components Analysis, arXiv:1309.2895."  (2013) Submitted

     
     

    G.I. Allen and J. Leek "Changing Our Culture: Perspectives from Young Faculty." AMSTAT News (December 2013)

     
     

    G.I. Allen and Z. Liu "A Local Poisson Graphical Model for Inferring Networks from Next Generation Sequencing Data ." IEEE Transactions on Nanomedicine, 12:3 (2013) : 1-10.

     
     

    G.I. Allen, L. Grosenick, and J. Taylor "A Generalized Least Squares Matrix Decomposition (To Appear)." Journal of the American Statistical Association, Theory & Methods (2013) In Press

     
     

    L.C. Harshman, R.J. Yu, G. I. Allen, S. Srinivas, H.S. Gill, B.I. Chung "Surgical outcomes and complications associated with presurgical tyrosine kinase inhibition for advanced renal cell carcinoma (RCC)." Urologic Oncology, 31:3 (2013) : 379-385.

     
     

    S. Tomson, M. Narayan, G.I. Allen, D. Eagleman "Neural Networks of Synesthesia." Journal of Neuroscience, 33:35 (2013) : 14098-14106.

     
     

    W. Zhang, Y. Wan, G.I. Allen, K. Pang, M.L. Anderson, and Z. Liu "Molecular pathway indentification using biological network-regularized logistic models." BMC Genomics, 14:S7 (2013)

     
     

    G.I. Allen "Regularized Tensor Decompositions and Higher-Order PCA, arXiv:1202.2476."  (2012) Submitted

     
     

    G.I. Allen and P.O. Perry "Singular value decomposition and high-dimensional data." Encyclopedia of Environmetrics Second Edition (2012) : 2469-2472.

     
     

    G.I. Allen and R. Tibshirani "Inference with Transposable Data: Modeling the Effects of Row and Column Correlations." Journal of the Royal Statistical Society, Series B, 74:4 (2012) : 1-23.

     
     

    N. Bellance, L. Pabst, G. I. Allen, R. Rossignol, D. Nagarath "Oncosecretomics coupled to bioenergetics identifies amino adipic acid, isoleucine and GABA as potential biomarkers of cancer: Differential expression of c-Myc, Oct1 and KLF4 coordinates metabolic changes." Biochimica et Biophysica Acta (BBA) (2012) In Press

     
     

    G. I. Allen and M. Maletic-Savatic "Sparse Non-negative Generalized PCA with Applications to Metabolomics." Bioinformatics, 27:21 (2011) : 3029-3035.

     
     

    G. I. Allen and Z. Liu "A Log-Linear Graphical Model for Inferring Genetic Networks from High-Throughput Sequencing Data." Submitted to Bioinformatics (2012) Submitted

     
     

    G.I. Allen "Regularized Tensor Decompositions and Higher-Order PCA." Submitted to Journal of the American Statistical Association: Theory & Methods (2012) Submitted

     
     

    G.I. Allen "Sparse Higher-Order Principal Components Analysis." Artificial Intelligence and Statistics (2012) Submitted

     
     

    G. I. Allen and R. Tibshirani, "Transposable regularized covariance models with an application to missing data imputatio." Annals of Applied Statistics, 4:2 (2010) : 764-790.

     
     

    L. C. Harshman, G. Bepler, Z. Zheng, J. P. Higgins, G. I. Allen, R. Tib- shirani, S. Srinivas "RRM1 expression in muscle invasive locally advanced urothelial cancer is associated with survival in younger patient." British Journal of Urology International (2010)

     
     

    L.C. Harshman, R.J. Yu, G.I. Allen, S. Srinivas, H.S. Gill, B.I. Chung "Surgical outcomes and complications associated with presurgical tyrosine kinase inhibition for advanced renal cell carcinoma (RCC)." Urological OncologyIn Press

     
     Book chapters
     

    G. I. Allen and P. O. Perry "Singular value decomposition for high-dimensional data." John Wiley & Sons Ltd., 2469-2472 (2012)

     
     Book reviews
     

    Y. Hu, E. C. Chi, and G. I. Allen "ADMM Algorithmic Regularization Paths for Sparse Statistical Learning." Splitting Methods in Communication and Imaging, Science and Engineering, (forthcoming) (2016) In Press

     
     Refereed conference papers
     

    M. Narayan and G. I. Allen "Population Inference for Node Level Di erences in Func- tional Connectivity." IEEE International Workshop on Pattern Recognition in Neuroimaging (PRNI) , oral presentation (2015)

     
     

    E. Yang, Y. Baker, P. Ravikumar, G.I. Allen, and Z. Liu "Mixed Graphical Models via Exponential Families." Artificial Intelligence and Statistics (AISTATS) (2014)

     
     

    S.N. Tomson, Narayan, M., Allen, G.I., Dapretto, M., Bookheimer, S.Y. "Novel network estimation tools extract common ASD features from ABIDE data set." International Society for Autism Research (2014)

     
     

    S.N. Tomson, Schreiner, M., Narayan, M., Rosser, T., Enrique, N., Silva, A.S., Allen, G.I., Bookheimer, S.Y., Bearden, C.E. "Neural network decits in neurobromatosis type 1." Organization for Human Brain Mapping, Neuroimage (2014)

     
     

    E. Chi, G.I. Allen, H. Zhou, O. Kohannim, K. Lange, P. Thompson "Imaging Genetics Via Sparse Canonical Correlation Analysis." IEEE International Symposium on Biomedical Imaging (2013)

     
     

    E. Yang, P. Ravikumar, G.I. Allen, and Z. Liu "Conditional Random Fields via Univariate Exponential Families." In Advances in Neural Information Processing Systems (NIPS) (2013)

     
     

    E. Yang, P. Ravikumar, G.I. Allen, and Z. Liu "On Poisson Graphical Models in Advances in Neural Information Processing Systems,." (NIPS) (2013)

     
     

    G.I. Allen "Multi-way Funcational Principal Components Analysis." IEEE International Workshopon Computational Advances in Multi-Sensor Adaptive Processing (2013)

     
     

    M. Narayan and G.I. Allen "Hypothesis Tests for Detecting Differential Features in Functional Connectivity Networks." Organization for Human Brain Mapping, Neuroimage (2013)

     
     

    M. Narayan and G.I. Allen "Randomized Approach to Differential Inference in Multi-Subject Functional Connectivity." IEEE International Workshop on Pattern Recognition in Neuroimaging (oral presentation) (2013)

     
     

    S. Tomson, M. Narayan, G.I. Allen, R. Gibbs, S. Leal, D. Eagleman "Neuroimaging and genetics of colored sequence Synesthesia." Organizing for Human Brain Mapping, Neuroimaging (2013)

     
     

    W.Y. Wan, J. Nagorski, G.I. Allen, Z. Li, and Z. Liu "Identifying cancer biomarkers through a network regularized Cox model." IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (2013)

     
     

    Y. Hu and G.I. Allen "Local-Aggregate Modeling for Multi-Subject Neuroimage Data via Distributed Optimization." IEEE International Workshop on Pattern Recognition in Neuroimaging (2013)

     
     

    G. I. Allen, L. Grosenick, and J. Taylor "Whole-Brain Spatio-Temporal Dimension Reduction via Sparse Generalized PCA."  (June 2011)

     
     

    S.A. Helekar, J. Bishop, C. Karmonik, S. Fung, G. I. Allen, R. Yekovich, and D.B. Rosenfield "Activation of Cross-modal and Multimodal Brain Areas in Musical Cognition."  (July 2011)

     
     Conference papers
     

    E. Yang, P. Ravikumar, G.I. Allen, and Z. Liu "Graphical Models via Generalized Linear Models, In Neural Information Processing Systems (NIPS), oral presentation."  (2012)

     
     

    G.I. Allen "Sparse Higher-Order Principal Components Analysis, Artifical Intelligence and Statistics, (Acceptance Rate: 30%)." 

     
     

    G.I. Allen and Z. Liu "A Log-Linear Graphical Model for Inferring Genetic Networks from High-Throughput Sequencing Data." In IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (Acceptance Rate: 19%) (2012)

     
     Other
     

    G.I. Allen "Comment on Article by Hoff." Bayesian Analysis, 6:2 (2011) : 197-202.

     
    Presentations
     Invited Talks
     

    "AI With the Best Conference." (September 2016)

     
     

    "American Statistical Association Statistics." Biostatistics Chairs Workshop, Washington, DC. (July 2016)

     
     

    "Cell Symposia on Technology, Biology, and Data Science, Berkeley, CA." (October 2016)

     
     

    "Conference on Statistical Learning and Data Science." Chapel Hill, NC. (June 2016)

     
     

    "Institute of Mathematical Statistics." World Congress in Probability and Statistics, Toronto, CA. (July 2016)

     
     

    "International Biometrics Society." Eastern North American Region Spring Meetings (ENAR), Austin, TX. (March 2016)

     
     

    "Joint Statistical Meetings." Chicago, IL. (August 2016)

     
     

    "Refining the Concept of Scientific Inference When Working with Big Data." A Workshop, National Academy of Sciences and Committee on Applied and Theoretical Statistics, Washington, DC. (June 2016)

     
     

    "SAMSI Optimization Program Opening Workshop, Raleigh, NC." (September 2016)

     
     

    "Society for Neuroscience Webinar." (December 2016)

     
     

    "Workshop on Higher-Order Asymptotics and Post-Selection Inference, St. Louis, MO." (October 2016)

     
     

    "ASQ Annual Fall Technical Conference." Houston, TX. (October 9, 2015)

     
     

    "Big Data in Biomedicine Conference." Stanford University, (May 20-22, 2015)

     
     

    "Brain and Behavior Seminar." University of Texas Dallas, (May 1, 2015)

     
     

    "Computational and Biological Learning Seminar." Cambridge University, Cambridge, UK. (March 4, 2015)

     
     

    "Department of Statistics Seminar." University of Virginia, (March 20, 2015)

     
     

    "Gulf Coast Undergraduate Research Symposium." Rice University, Houston, TX. (October 17, 2015)

     
     

    "International Biometric Society." Eastern North American Region Spring Meetings, Miami, FL. (March 2015)

     
     

    "Joint Statistical Meetings." Seattle, WA. (August 8-13, 2015)

     
     

    "NeuroEngineering Annual Symposium." Houston, TX. (October 2, 2015)

     
     

    "Ohio State University Statistics Seminar." Columbus, OH. (November 5, 2015)

     
     

    "SRCOS Summer Research Conference." Caroline Beach, NC. (June 7-10, 2015)

     
     

    "Statistical Laboratory Seminar." Cambridge University, Cambridge, UK. (March 5, 2015)

     
     

    "Statistics Seminar." Imperial College, London, UK. (March 6, 2015)

     
     

    "University of Houston Statistics Seminar." Houston, TX. (October 30, 2015)

     
     

    "World Statistics Congress." International Statistics Institute, Rio de Janeiro, Brazil. (July 26-31, 2015)

     
     

    "iBRIGHT Conference." The University of Texas MD Anderson Cancer Center, Houston, TX. (November 3, 2015)

     
     

    "Department of Biostatistics, University of Texas School of Public Health." (February 14, 2014)

     
     

    "Department of Statistics Seminar, Texas A & M University." College Station, TX. (October 24, 2014)

     
     

    "Department of Statistics, Purdue University." (February 28, 2014)

     
     

    "Department of Statistics, University of Michigan." (April 4, 2014)

     
     

    "Human Genetics Seminar." University of Texas School of Public Health, Houston, TX. (September 29, 2014)

     
     

    "INFORMS Annual Meeting (invited session) ." (No vember 2014)

     
     

    "INFORMS Optimization Society Conference." (March 2014)

     
     

    "International Chinese Statistical Association Applied Statistics Symposium." Talk given by student, Yulia Baker, Portland, Oregon. (June 2014)

     
     

    "International Society of NonParametric Statistics Conference." Cadiz, Spain. (June 2014)

     
     

    "International Symposium on Business and Industrial Statistics / Conference of the ASA Section on Statistical Learning and Data Mining." (June 2014)

     
     

    "Joint Statistical Meetings (topic-contributed session)." (August 2014)

     
     

    "Keck Seminar." Gulf Coast Consortia, (March 14, 2014)

     
     

    "Rice University Cognitive Division Seminar." Houston, TX. (October 8, 2014)

     
     

    "Scientia Series." Rice University, Houston, TX. (March 11, 2014)

     
     

    "Southern Regional Council on Statistics Summer Research Conference." Boston, MA. (August 2014)

     
     

    "Southern Regional Council on Statistics Summer Research Conference (invited session)." Galveston, TX. (June 2014)

     
     

    "Special Biostatistics Seminar." University of Texas Medical Branch, (July 2, 2014)

     
     

    "UCLA Advanced Neuroimaging Summer Training Program." UCLA, (July 28, 2014)

     
     

    "Workshop: Quantifying Structure in Large Neural Datasets, Grossman Center for the Statistics of Mind." Columbia University. (September 2014)

     
     

    "Department of Biostatistics Seminar." University of North Carolina at Chapel Hill. (February 27, 2013)

     
     

    "Department of Neuroscience." Baylor College of Medicine. (May 10, 2013)

     
     

    "Department of Statistics." Carnegie Mellon University. (October 14, 2013)

     
     

    "Department of Statistics Seminar." Florida State University. (March 29, 2013)

     
     

    "IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing." Saint Martin. (December 2013)

     
     

    "International Biometric Society, Eastern North American Region, Spring Meetings." Orlando, FL. (March 2013)

     
     

    "International Statistics Institute World Statistics Congress." Hong Kong, China. (August 2013)

     
     

    "Joint Statistical Meetings, (topic-contributed)." Montreal, Canada. (August 2013)

     
     

    "Networks Seminar." University of Houston. (September 20, 2013)

     
     

    "Neuroimaging Seminar." New York University, (December 10, 2013)

     
     

    "A Unified Optimization Framework for Regularized Multivariate Analysis." International Statistics Institute World Statistics Congress, Hong Kong, China. (August 2013)

     
     

    "Grand Rounds, Pediatric-Neurology." Texas Children's Hospital, (July 18, 2012)

     
     

    "Graphical Models via Generalized Linear Models." NIPS 2012 (Neural Information Processing Systems), With Euhno Yang, Pradeep Ravikumar, and Zhandong Liu

     
     

    "High-Dimensional Poisson Graphical Models." University of Washington, Department of Statistics, (December 3, 2013)

     
     

    "Log-Linear Graphical Models." Interface 2012: The Future of Statistical Computing, Houston, TX. (2012)

     
     

    "Modern Statistical Methods for Massive Data." XSEDE Scholars Webinar, (November 7, 2012)

     
     

    "Regularized Higher-Order Principal Components Analysis." Kobe. (August 30, 2012)

     
     

    "Regularized Tensor Decompositions and Higher-Order PCA." Ken Kennedy Institute for Information Technology Seminar Series, Rice University, Houston, TX. (March 9, 2012)

     
     

    "Regularized Tensor Decompositions and Higher-Order PCA." Statistics Seminar Series, University of North Carolina, Department of Statistics and Operations Research, North Carolina. (April 9, 2012)

     
     

    "Regularized Tensor Factorizations and Higher-Order PCA." International Biometrics Society, Kobe, Japan. (2012)

     
     

    "Regularized Tensor Factorizations and Higher-Order PCA." SACNAS Conference , Seattle, WA. (2012)

     
     

    "Regularized Tensor Factorizations and Higher-Order PCA." Joint Statistical Meetings, San Diego, CA. (2012)

     
     

    "Regularized Tensor Factorizations and Higher-Order PCA." Joint Statistical Meetings (JSM), San Diego, CA. (2012)

     
     

    "Sparse Higher-Order PCA." Statistical Learning & Data Mining Conference, American Statistical Association, Ann Arbor, MI. (2012)

     
     

    "Sparse Higher-Order Principal Components Analysis." Statistical Learning and Data Mining Workshop, Ann Arbor, MI. (2012)

     
     

    "Sparse and Functional PCA." International Biometric Society, Eastern North American Region Spring Meetings, Orlando, FL. (March 2013)

     
     

    "Spatio-Temporal Dimension Reduction of fMRI Data via Sparse Generalized PCA." International Chinese Statistical Association Symposium , Boston, MA. (2012)

     
     

    "A Generalized Least Squares Matrix Decomposition." Webinar, SAMSI Hierarchical Modeling Group, (04/08/2011)

     
     

    "A Generalized Least Squares Matrix Decomposition." Statistics Seminar, University of Texas at Austin, McCombs School of Business, Austin, TX. (04/01/2011)

     
     

    "A Generalized Least Squares Matrix Decomposition." Statistics Colloquium, Rice University Department of Statistics, Houston, TX. (02/21/2011)

     
     

    "A Generalized Least Squares Matrix Decomposition." Biostatistics Seminar, MD Anderson Cancer Center, Houston, TX. (03/16/2011)

     
     

    "Generalizing Principal Components Analysis." Biostatistics Seminar, University of Texas School of Public Health, Department of Biostatistics, Houston, TX. (09/13/2012)

     
     

    "Generalizing Principal Components Analysis." Seminar Series, Computational and Integrative Biomedical Research, Baylor College ofMedicine, Houston, TX. (09/21/2011)

     
     

    "Generalizing Principal Components Analysis." Texas Children’s Research Seminar Series, Texas Children’s Hospital, Houston, TX. (10/19/2011)

     
     

    "Generalizing Principal Components Analysis." Biostatistics Seminar, Johns Hopkins University School of Public Heath, Department of Biostatistics, (10/05/2011)

     
     

    "Generalizing Principal Components Analysis." Statistics Seminar, Stanford University, Department of Statistics, California. (10/11/2011)

     
     

    "Generalizing Principal Components Analysis." Seminar Series, Johns Hopkins University, Department of Applied Math and Statistics, (10/06/2011)

     
     

    "Introduction to the Heritage Health Prize." Joint Statistical Meetings (JSM), Miami Beach, FL. (2011)

     
     

    "Transposable Regularized Covariance Models for High-dimensional Missing Date Imputation." International Biometric Society, Eastern North American Region, San Antonio, TX. (March 2009)

     
     

    "A Generalized Least Squares Matrix Decomposition." Fourth Eric Lehmann Symposium, Houston, TX. (May 2011)

     
     

    "Inference with Transposable Data: Modeling the Effects of Row and Column Correlations." JSM Joint Statistical Meetings, Vancouver, Canada. (August 2010)

     
     

    "Kernel Iterative Feature Extraction." SIAM Conference Mathematics for Industry: Challenges and Frontiers, San Francisco, CA. (October 2009)

     
     

    "Modeling Correlations in Microarray Data." JSM Joint Statistical Meetings, Vancouver, CANADA. (August 2010)

     
     

    "Modeling High-Dimensional Data with the Matrix-variate Normal." Eastern North American Region of the International Biometric Society Spring Meetings, Miami, FL. (March 2011)

     
     

    "Modeling Transposable Data." Computational and Applied Mathematics Colloquium, Rice University, Houston, TX. (November 22, 2010)

     
     

    "Modeling Transposable Data." Houston Area Chapter of the American Statistical Association Meetings, Houston, TX. (October 12, 2010)

     
     

    "Modeling Transposable Data." Department Colloquia, Department of Statistics, Texas A & M University, College Station, TX. (October 7, 2010)

     
     

    "Transposable Regularized Covariance Mdoels with Applications to High-Dimensional Data." Statistics Seminar Series, University of Southern California Marshall School of Business, Los Angeles. (January 26, 2010)

     
     

    "Transposable Regularized Covariance Models With Applications to High-Dimensional Data." Statistics Seminar Series,, University of Florida, Department of Statistics, Gainesville, FL. (January 19, 2010)

     
     

    "Transposable Regularized Covariance Models with Applications to High-Dimensional Data." Statistics Colloquium, Department of Statistics, Rice University, Houston, TX. (February 2, 2010)

     
     

    "Transposable Regularized Covariance Models with Applications to High-Dimensional Data." Seminar Series, Carnegie Mellon University, Department of Statistics, Pittsburgh, PA. (February 8, 2010)

     
     

    "Transposable Regularized Covariance Models with Applications to High-Dimensional Data." Computtational Biology Symposium, Baylor College of Medicine, Houston, TX. (January 12, 2010)

     
     Keynote Speaker
     

    "Mathematical Biosciences Institute Capstone Conference." Columbus, OH. (August 2016)

     
     Other
     

    "Statistical Machine Learning for Big Data." ISI WSC, (2015)

     
     Seminar Speaker
     

    "Australia National University Statistics Seminar." Canberra, Australia. (April 1, 2016)

     
     

    "MD Anderson Cancer Center Biostatistics Seminar, Houston, TX." (November 11, 2016)

     
     

    "Monash University Statistics Seminar." Melbourne, Australia. (March 30, 2016)

     
     

    "University of Auckland Statistics Seminar." Auckland, New Zealand. (March 18, 2016)

     
     

    "University of Florida Informatics Institute Seminar." Gainesville, FL. (February 12, 2016)

     
     

    "University of Florida Statistics Seminar." Gainesville, FL. (February 11, 2016)

     
     

    "University of Michigan Complex Systems Seminar." Ann Arbor, MI. (April 12, 2016)

     
     

    "University of Otago Computer Science Seminar." Dunedin, New Zealand, (March 23, 2016)

     
     

    "University of Otago Molecular Biology Seminar." Dunedin, New Zealand. (March 22, 2016)

     
     

    "University of Otago Preventative Medicine Seminar." Dunedin, New Zealand. (March 21, 2016)

     
     

    "University of Otago Statistics Seminar." Dunedin, New Zealand. (March 24, 2016)

     
     Session Chair
     

    "Conference on Statistical Learning and Data Science." (2016)

     
     

    "Eastern North America Region of the International Biometric Society." (2016)

     
     

    "Extraordinary Power of Data." Invited Posters, Joint Statistical Meetings, (2016)

     
     

    "Joint Statistical Meetings." (2016)

     
     

    "Statistical Machine Learning for Big-Bio-Data." Eastern North America Region (ENAR) of the International Biometric Society, (2016)

     
     

    "Topics in Statistical Learning." Conference on Statistical Learning and Data Science, (2016)

     
     

    "ISI World Statistics Congress." (2015)

     
     

    "JSM." (2015)

     
    Editorial Positions
     Associate Editor, Electronic Journal of Statistics. (2013 - 2015)

     Other, Refereeing: Journal of the American Statistical Association T&M. (2011 - 2011)

     Associate Editor, Biometrics. (2014 - 2014)

     Associate Editor, Electronic Journal of Statistics. (2014 - 2014)

     Associate Editor, Electronic Journal of Statistics . (2013 - 2013)

     Associate Editor, StatBlog. (2013 - 2013)

     Other, Electronic Journal of Statistics, Journal of Multivariate Analysis. (2010 - 2010)

     Other, Journal of the Royal Statistical Society (Series B: Theory and Methods). (2010 - 2010)

     Other, Refereeing: Algorithms. (2011 - 2011)

     Other, Refereeing: Statistica Sinica. (2011 - 2011)

     Other, Refereeing: Journal of Computational and Graphical Statistics. (2011 - 2011)

     Other, Refereeing: Journal of Statistical Computation and Simulation. (2011 - 2011)

     Other, Refereeing: Annals of Applied Statistics. (2011 - 2011)

     Other, Refereeing: Journal of Multivariate Analysis. (2011 - 2011)

     Other, Refereeing: Electronic Journal of Statistics. (2011 - 2011)

     Other, Refereeing: Journal of the Royal Statistical. (2011 - 2011)

     Associate Editor, Biometrics. (2014 - 2015)

    Awards, Prizes, & Fellowships
     NSF CAREER Award, National Science Foundation (2016)

     30 under 30: Science & Healthcare, Forbes Magazine (January 2014)

     Chosen to represent the American Statistical Association, at the Coalition for National Science Funding Congressional Exhibition (May 2014)

     ASA Takes Part in Annual Capitol Hill Exhibition, AMSTAT News (July 2013)

     Chosen to represent the American Statistical Association, Coalition for National Science Funding Congressional Exhibition (May 2013)

     Dobelman Family Junior Chair, Rice University (July 2013)

     Congressman McNerney highlights research in speech on the House floor, (September 20, 2013)

     New statistical tools being developed for mining cancer data, Rice News (November 2013)

     International Biometrics Society Young Statistician Showcase (North America Representative), IBS 2012 (2012)

     David P. Byar Young Investigator Travel Award, Biometrics Section, American Statistical Association (2011)

     Honorable Mention, SF Bay Area Chapter of the American Statistical Association Travel Award (2010)

     Student Ambassador, Rice University (2004 - 2006)

     Distinguished Trustee Scholarship, Rice University (2003 - 2006)

     VIGRE Graduate Fellowship, Stanford University (2006-2009)

     Undergraduate Research Symposium, 2nd Prize Engineering Division, Rice University (2006)

     VIGRE Undergraduate Fellowship, Rice University (2005 - 2006)