CURRICULUM VITAE Ali Shojaie, PhD Oct 25, 2016 CONTACT INFORMATION University of Washington Departments of Biostatistics F-646 Health Sciences Building Seattle WA 98195 Phone: (206)616-5323 E-mail: [email protected] EDUCATION 1) Iran Univ. of Science & Technology, Tehran, Iran, B.Sc in Industrial and Systems Engineering, Sep 1993–Feb 1998 2) Amirkabir Univ. of Technology (Tehran Polytechnic), Tehran, Iran, M.Sc in Industrial Engineering, Sep 1998–Feb 2001 3) Michigan State Univ., East Lansing, MI, M.S. Statistics, Jan 2003–May 2005 4) Univ. of Michigan, Ann Arbor, MI, M.S. in Human Genetics, Sep 2006–Dec 2009 5) Univ. of Michigan, Ann Arbor, MI, M.S. in Applied Mathematics, Sep 2007–Apr 2010 6) Univ. of Michigan, Ann Arbor, MI, PhD in Statistics, Sep 2005–Apr 2010 PROFESSIONAL POSITIONS • Associate Professor, Dept. of Biostatistics, Univ. of Washington, July 2016 -o Adjunct Associate Professor, Dept. of Statistics, Univ. of Washington, July 2016 -o Affiliate Member, Center for Statistics in Social Sciences (CSSS), Univ. of Washington, Mar 2012 -o Affiliate Member, Biostatistics & Biomathematics, Fred Hutchinson Cancer Research Center (FHCRC), Sep 2012 -o Affiliate Faculty, eSciences Institute, Univ. of Washington, March 2014 -• Assistant Professor, Dept. of Biostatistics, Univ. of Washington, July 2011–June 2016 • Visiting Scholar, Statistical & Applied Math. Sciences Institute (SAMSI), Sep 2010–May 2010 HONORS, AWARDS, SCHOLARSHIPS • NIH-NHGRI Genome Science Training Fellowship, Univ. of Michigan, Sep 2005 • Outstanding First Year PhD Student, Department of Statistics, Univ. of Michigan, May 2006 • NIH-NCI Training Program in Cancer Research Fellowship, Univ. of Michigan, Sep 2007 • Distinguished Student Paper Award, International Biometrics Society, Eastern North American Region (ENAR), March 2009 • Student Paper Competition Award, Statistical Computing and Graphics Sections, ASA, Jan 2010 • International Society of Computational Biology (ISCB) Travel Fellowship, Sep 2010 • Nominated for Rackham Distinguished Dissertation Award, Rackham School of Graduate Studies, Univ. of Michigan • Genentech Endowed Professorship, Dept. of Biostatistics, Univ. of Washington, 2011-2012 • David Byar Young Investigator Award, awarded to the work of student, Arend Voorman (2013) • David Byar Young Investigator Award, awarded to the work of student, Sen Zhao (2016) PROFESSIONAL ACTIVITIES a) Leadership Founding co-Chair, the IMS ad-hoc committee for Junior Researchers (j-IMS) • Member of the Leo Breiman Award Committee, ASA Section on Data Science and Statistical Learning, 2015 •

b) Editorial Service Associate Editor for Journal of American Statistical Association (2014-) • Associate Editor for Journal of Iranian Statistical Society (2015-) • Associate Editor for Journal of Multivariate Analysis (2016-) •

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c) Conference Organization • • • • •

Organizing Committee Member, 1st Michigan Student Symposium in Interdisciplinary Statistical Sciences, 2007 Member of the Scientific Program Committee, World Statistics Congress (WSC), 2015 Organizing Committee Co-chair, Fifth Seattle Symposium in Biostatistics, 2015 Organizing Committee Co-chair, Institute for Mathematical Statistics (IMS) Meeting of New Researchers in Probability and Statistics, 2015 Co-Organizer, IJCAI Workshop on Knowledge Discovery in Healthcare Data, 2016

d) Invited Session Organizer Joint Statistical Meetings (JSM) Eastern North American Region of the International Biometric Society Meeting (ENAR) • ASA Statistical Learning and Data Mining Section Conference • World Statistics Congress (WSC) • •

e) Other • • • • •

NSF-DMS Review Panel (2013) Fonds de recherché du Quebec – Nature et technologies (FRQNT) Mail Reviewer (2014) NIH Special Emphasis Panel, Reviewer (2015) NIH-BCHI Review Panel, Ad Hoc Reviewer (2016) Manuscript review for more than 30 journals

PUBLICATIONS [* indicates joint first authorship.] [underline indicates UW student/postdoc author.] a) Research Articles: Methodological Research 1) Emamizadeh B & Shojaie A (2002). Multi-Facility Location Problem with Probabilistic Demand Weights: A Heuristic Approach, In Proceedings of Northeast DSI Annual Meeting. 2) Shojaie A & Michailidis G (2009). Analysis of Gene Sets Based on the Underlying Gene Network, Journal of Computational Biology, 16(3): 407-426 [Editor's Pick]. 3) Shojaie A & Michailidis G (2010). Network Enrichment Analysis in Complex Experiments, Statistical Applications in Genetics and Molecular Biology, Vol. 9: Iss. 1, Article 22 [An earlier version of this paper received a 2009 ENAR Distinguished Student Paper Award]. 4) Shojaie A & Michailidis G (2010). Penalized Likelihood Methods for Estimation of Sparse High Dimensional Directed Acyclic Graphs, Biometrika, 97(3): 519-538. 5) Shojaie A & Michailidis G (2010). Discovering Graphical Granger Causality Using the Truncating Lasso Penalty, Bioinformatics, 26(18): i517-i523 [Winner of a 2010 Student Paper Competition Award, Statistical Computing and Graphics Sections, ASA]. 6) Shojaie A & Michailidis G (2010). Penalized Principal Component Regression on Graphs for Analysis of Subnetworks, In Advances in Neural Information Processing Systems 23, (NIPS), 2155-2163. (Acceptance rate: 23%) 7) Basu S Shojaie A, and Michailidis G (2011). Estimating Regulatory Networks from Time Course Gene Expression Data via Adaptive Penalization, Proceedings of 26th NIPS Workshop on Machine Learning in Computational Biology. 8) Shojaie A, Basu S, & Michailidis G (2012). Adaptive Thresholding for Reconstructing Regulatory Networks from Time Course Gene Expression Data, Statistics In Biosciences, 4(1): 66-83. 9) Shojaie A (2013). Link Prediction in Biological Networks using Penalized Multi-Mode Exponential Random Graph Models, 13th KDD Workshop on Learning and Mining with Graphs, ACM. (Acceptance rate: 31%). 10) Petrochilos D, Shojaie A, Kalet I, Gennari J, and Abernethy N (2013). Using Random Walks to Identify CancerAssociated Modules in Expression Data, BioData Mining, 6:17. 11) Zimmerman A, McCormick T, Shojaie A and Lee H (2013). Improving attribute prediction through networkaugmented attribute prediction, Proceedings of the IEEE GlobalSIP Symposium on Emerging Challenges in Network Sensing, Inference, and Communication. 12) Witten D, Shojaie A and Zhang F (2014). The Cluster Elastic Net for High-Dimensional Regression with Unknown Variable Grouping, Technometrics, 56(1): 112-122.

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13) Shojaie A*, Jauhiainen A*, Kallitsis M* and Michailidis G (2014) Inferring Gene Regulatory Networks by Combining Perturbation Screens and Steady State Expression Profiles, PLoS One, 9(2): e82393. 14) Voorman A, Shojaie A and Witten D (2014). Graph Estimation with Joint Additive Models, Biometrika, 101(1): 85101 [Winner of a David Bayer Young Investigator Travel Award, Biometrics Section, ASA]. 15) Sedaghat N, Saegusa T, Randolph T and Shojaie A (2014). Comparative Study of Computational Methods for Reconstructing Gene Interaction Networks of Cancer-Related Pathways, Cancer Informatics, 13(Suppl 2): 55–66. 16) Chen S, Witten D and Shojaie A (2015). Selection and estimation for mixed graphical models, Biometrika, 102(1): 47-64. 17) Basu S, Shojaie A, and Michailidis G (2015). Network Granger Causality with Inherent Grouping Structure, Journal of Machine Learning Research, 16(Mar): 417−453. 18) Tan KM, Witten D and Shojaie A (2015). Cluster Graphical Lasso for Improved Estimation of Gaussian Graphical Models, Computational Statistics and Data Analysis, 85:23–36. 19) Zhao S and Shojaie A (2016). A significance test for graph-constrained estimation, Biometrics, 72(2): 484-493. 20) Saegusa T and Shojaie A (2016). Joint estimation of precision matrices in heterogeneous populations. Electronic Journal of Statistics (EJS), 10(1), 1341-1392. 21) Lin L, Drton M & Shojaie A (2016) Estimation of high-dimensional graphical models using regularized score matching, Electronic Journal of Statistics (EJS), 10(1): 806-854. 22) Sedaghat S, Fathy M, Modarressi M-H & Shojaie A (2016) Identifying Functional Cancer-Specific miRNA-mRNA Interactions in Testicular Germ Cell Tumor, Journal of Theoretical Biology, Vol. 404(7): 82-96. 23) Sondhi A and Shojaie A (2016). Causal structure learning with reduced partial correlation thresholding, 3rd IEEE International Conference on Data Science and Advanced Analytics (IEEE-DSAA). 24) Tank A, Fox E and Shojaie A (2016). Granger Causality Networks for Categorical Time Series, 2nd SIGKDD Workshop on Mining and Learning from Time Series. 25) Tank A, Fox E and Shojaie A (2016). Identifiability of Non-Gaussian Structural VAR Models for Subsampled and Mixed Frequency Time Series, SIGKDD Workshop on Causal Discovery. 26) Ma J, Shojaie A, & Michailidis G (2016+). Network-based pathway enrichment analysis with incomplete network information, Bioinformatics, 2016, in press. 27) Wang L, Chen S & Shojaie A (2016+). Invited discussion for “Causal inference by using invariant prediction: identification and confidence intervals” by J Peters et al, Journal of Royal Statistical Society-Series B, in press. 28) Chen S, Shojaie A and Witten D (2016+) Network reconstruction from high dimensional ordinary differential equations, Journal of American Statistical Association (JASA), in press. 29) Randolph T, Zhao S, Copeland W, Hullar M and Shojaie A (2016+). Kernel-Penalized Regression for Analysis of Microbiome Data, Annals of Applied Statistics, invited for major revision. b) Research Articles: Applied/Collaborative Research 30) Putluri N, Shojaie A, Vasu V, Nalluri S, Vareed S, Putluri V, Vivekanandan-Giri A, Creighton C, Byun J, Pennathur S, Sana T, Fischer S, Michailidis G and Sreekumar A (2011). Metabolomic Profiling Reveals A Role for Androgen in Activating Amino Acid Metabolism and Methylation in Prostate Cancer Cells, PLoS One, 6(7): e21417. 31) Putluri N*, Shojaie A*, Vasu V*, Vareed S, Nalluri S, Putluri V, Tallman C, Butler C, Sana S, Fischer S, Sica G, Brat D, Shi H, Weizer A, Terris M, Shariat S, Michailidis G, and Sreekumar A (2011). Metabolomic Profiling Reveals Potential Markers and Mechanism for Bladder Cancer Progression, Cancer Research, 15(71): 7376-7386. 32) Lampe JW, Navarro SL, Hullar MAJ and Shojaie A (2013). Inter-individual differences in response, to dietary intervention: integrating omics platforms towards personalised dietary recommendations. Proceedings of the Nutrition Society, 72(2): 207–218. 33) Vareed SK, Sureshkumar PA, Basu S, Kaushik AK, Putluri V, Putluri N, Panzitt K, Vergara IA, Erho N, Weigel NL, Mitsiades N, Shojaie A, Palapattu G, Michailidis G and Sreekumar A (2014). Metabolomic profiling identifies predictive biochemical pathways associated with castrate resistant prostate cancer, Journal of Proteomics Research, 13(2): 1088-100. 34) Chun PT, McPherson RJ, Marney LC, Zangeneh SZ, Parsons BA, Shojaie A, Synovec RE, & Juul SE (2015). Serial Plasma Metabolites Following Hypoxic-Ischemic Encephalopathy in a Nonhuman Primate Model, Developmental Neuroscience, Vol. 37, No. 2. 35) McCormick T, Lee H, Cesare N and Shojaie A (2016). Using Twitter for Demographic and Social Science Research: Tools for Data Collection, Sociological Methods and Research, in press.

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36) Kaushik A*, Shojaie A*, Panzitt K*, Sonavane R, Venghatakrishnan H, Manikkam M, Zaslavsky A, Putluri V, Vasu V, Zhang Y, Lloyd S, Szafran AT, Dasgupta S, Stossi F, Li H, Samanta S, Vithayathil SA, Cao X, Tsouko E, Huang S, Frigo D, Chan L, Edwards D, Kaipparettu BA, Mitsiades N, Weigel NL, Mancini M, Ittmann MM, Chinnaiyan AM, Putluri N, Palapattu GS, Michailidis G and Sreekumar A (2016). Inhibition of the hexosamine biosynthetic pathway promotes castration-resistant prostate cancer, Nature Communications. 37) Stanaway I, Wallace J, Shojaie A, Griffith W, Hong S, Wilder C, Green F, Tsai J, Knight M, Workman T, Vigoren E, McLean J, Thompson B & Faustman E (2016+). Human Oral Buccal Microbiomes Are Associated with Farmworker Status And Azinphos-methyl Agricultural Pesticide Exposure, Applied and Environmental Microbiology, in press. 38) Seshadri C, Campo M, Sedaghat N, Shojaie A, Peterson G, Wells R, Olson G, Sherman D, Stein C, Mayanja-Kizza H, Boom WH & Hawn TR (2016+). Transcriptional Networks are Associated with Resistance to Mycobacterium tuberculosis Infection, American Journal of Respiratory and Critical Care Medicine, invited for major revision. c) Refereed Book Chapters and Proceedings 39) Shojaie A and Tan P-N (2005). Outlier Detection Based on Projection-Based Ordering, Proceedings of 6th International Conference in Data Mining, Text Mining and Business Applications. 40) Sedaghat S, Stanway I, Zangeneh S, Bammler T and Shojaie A (2016+) Bioinformatics in Toxicology: Statistical Methods for Supervised Learning in High-Dimensional Omics Data, to appear in Comprehensive Toxicology III. 41) Shojaie A and Sedaghat N (2016+). How similar are estimated networks of different cancer subtypes? Big and Complex Data Analysis: Methodology and Applications, (S. Ejaz Ahmed, Ed.), Springer, in press. d) Submitted and Under Review Manuscripts 42) Chen S, Witten D and Shojaie A, Nearly Assumptionless Screening for the Mutually-Exciting Multivariate Hawkes Process. 43) Zhao S, Shojaie A and Witten D, In Defense of the Indefensible: A Very Naive Approach to High-Dimensional Inference [An earlier version of this paper was awarded a David Bayer Young Investigator Travel Award, Biometrics Section, ASA]. 44) Mathur R, Shojaie A and Motsinger-Reif A, Gene Set Analysis Methods: A Systematic Comparison. 45) Lin L, Drton M and Shojaie A, A Score-Matching Approach To Estimating High-Dimensional Pairwise Interaction Models With Missing Data. 46) Alishahi K, Ehyaei AR and Shojaie A, A Generalized Benjamini-Hochberg Procedure for Multivariate Hypothesis Testing. 47) Haris A, Shojaie A and Simon N, Nonparametric Regression with Adaptive Smoothness via a Convex Hierarchical Penalty. 48) Zhang Y, Linder MH, Shojaie A, Ouyang Z, Shen R, Baggerly K, Baladandayuthapani V and Zhao H, Dissecting Pathway Disturbances Using Network Topology and Multi-platform Genomics Data. 49) Wang X, Shojaie A, Zhang Y, Shelley D, Lampe PD, Levy L, Peters U, Potter JD, White E and Lampe JW, Exploratory plasma proteomic analysis in a randomized crossover trial of aspirin among healthy men and women. e) Software 1) netgsa, R package for Network Enrichment Analysis in Complex Experiments 2) grangerTlasso, R package for Discovering Graphical Granger Causality using the Truncating Lasso Penalty 3) ripe, R package for estimating regulatory networks using joint perturbation screens and steady-state expression data 4) spacejam, R package for Graph Estimation with Joint Additive Models 5) lassoscore, R package for inference in high dimensional penalized regression and M-estimation 6) Grace, R package for inference for graph constrained and kernel penalized regression in high dimensions 7) hierbasis, R package for nonparametric regression with adaptive smoothness via a convex hierarchical penalty 8) highscore, R package for estimation of high-dimensional graphical models using regularized score matching FUNDING HISTORY a) Current Funding 1) Summer Institute for Statistics of Big Data, NIH-R25, 2014-2017; role: contact PI (mPI, joint with Witten, UW). 2) Statistical Methods for Network-Based Integrative Analysis of CVD Epigenetic Data; NIH-K01, role: PI. 3) Machine Learning Tools for Discovery and Analysis of Active Metabolic Pathways; NIH-R01, role: PI.

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4) Statistical Methods for Differential Network Biology with Applications to Aging; NSF-DMS, role: contact PI (mPI, joint with Drton, Promislow, UW). 5) Human and bacterial molecular pathways in cancer risk: modulation by diet; NIH-R01, role: co-I (PI: Lampe). b) Past Funding 1) Collaborative Research: Statistical Methodology for Network based Integrative Analysis of Omics Data, DMS/NIGMS, 2012-2016; role: PI of UW project (lead PI: Michailidis). 2) Bridging Social Media and Public Health: Using Twitter to Explore Social Determinants of Obesity, UW-SPH Emerging Strategic Challenges Grant 2012-2013; role: PI. 3) Using Social Media Networks to Identify Deviant Behavior, Army Research Office (ARO), 2012-2015; role: PI (mPI, joint with McCormick, Lee, UW). 4) 17th IMS New Researchers Conference, NSF; role: PI. 5) 17th IMS New Researchers Conference, NSA; role: PI. 6) 17th IMS New Researchers Conference, NIH; role: PI (mPI, joint with Noah Simon, UW). 7) Islet Cell Membrane Antibodies in Diabetes, NIH-R01, 2013-2015; role: co-I (PI: C. Hampe, UW). 8) Reconstructing Gene Regulatory Networks through Integration of Perturbation Screen and Steady State Expression Data Profiles, NIH-R21, 2013-2015; role: co- PI (PI: Michailidis). TEACHING a) Curriculum Development Computing and Research (BIOST 561-563): A new sequence of courses focused on advanced tools for computing and research for PhD students in (Bio)statistics, Dept. of Biostatistics, Univ. of Washington (jointly with Ken Rice). • A 3-sequence course on Biomedical Data Science, as part of the new MS program in Biostatistics, including •

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Bioinformatics for Big Omics Data (BIOST 544): A new course covering various bioinformatics tools for the analysis of omics data, Dept. of Biostatistics, Univ. of Washington (jointly with Raphael Gottardo).

Introduction to Biomedical Data Science (BIOST 545): A new course covering tools for preprocessing, visualization and analysis of biomedical big data, Dept. of Biostatistics, Univ. of Washington (jointly with Noah Simon). o Machine Learning for Biomedical Big Data (BIOST 546): A new course on applications of machine learning tools for analysis of biomedical big data with an emphasis on best practices, Dept. of Biostatistics, Univ. of Washington. • Summer Institute in Statistics for Big Data (SISBID): A collection of five 2.5-day modules covering various aspects of statistical analysis of biomedical big data, from preprocessing and visualization to machine learning and reproducible research (jointly with Daniela Witten). o

b) Formal Teaching • • • • • • • •

Discrete Mathematics (CSE 260), Dept. of Computer Science & Engineering, Michigan State Univ. (Summer 2003, 2005) Statistical Methods (STT 200) (two sessions), Dept. of Statistics and Probability, Michigan State Univ. (Spring 2008) Statistical Methods in Business (STT 315), Dept. of Statistics and Probability, Michigan State Univ. (Spring 2009) Computing and Research-I (BIOST 561), Dept. of Biostatistics, Univ. of Washington (Autumn 2011, 2012) Computing and Research-II (BIOST 562), Dept. of Biostatistics, Univ. of Washington (Winter 2012, 2013) Computing and Research-III (BIOST 563), Dept. of Biostatistics, Univ. of Washington (Summer 2012, 2014, 2016) Machine Learning for Biomedical Big Data (BIOST 546), Dept. of Biostatistics, Univ. of Washington (Spring 2014, 2015, 2016) Lectures in Applied Statistics (BIOST/STAT 111), Dept. of Biostatistics, Univ. of Washington (Spring 2015, 2016)

c) Short Courses •

Introduction to SAS, Financial Engineering Summer Program, University of Michigan, (Summer 2010, 2011)

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Summer School in Statistical Genetics (SISG) module on High-Dimensional Omics Data (co-taught with Daniela Witten, 2012-2014)

Summer School in Statistical Genetics (SISG) module on Network and Pathway Analysis of Omics Data (co-taught with Alison Montsinger-Reif, 2013-2016) • Summer School in Statistics of Big Data (SISBID) module on Supervised Learning (co-taught with Noah Simon, 2016) • Joint Statistical Meeting (JSM) 2015, 2016: Statistical Methods for Unsupervised Learning. •

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ADVISING AND MENTORING a) PhD Students 1) 2) 3) 4) 5) 6)

Arend Voorman, Biostatistics PhD, Univ. of Washington, 2011–2014 (co-chair: Daniela Witten) Shizhe Chen, Biostatistics PhD, Univ. of Washington, 2013–2016 (co-chair: Daniela Witten) Sen Zhao, Biostatistics PhD, Univ. of Washington, 2014 -Asad Haris, Biostatistics PhD, Univ. of Washington, 2015 -Lina Lin, Statistics PhD, Univ. of Washington, 2016 -- (co-chair: Mathias Drton) Arjun Sonhdi, Biostatistics PhD, Univ. of Washington, 2016 --

b) Masters Students 7) Kevin Rubenstein, MS, University of Washington, 2012–2014 (co-chair: Ken Rice) 8) Afshin Mashadi-Hossein MS, University of Washington, 2013–2015 c) Mentored Scientists and Post-Docs 9) Takumi Seagusa, Dept. of Biostatistics, Univ. of Washington, 2012–2014 10) Nafiseh Sedaghat, Visiting Student, Dept. of Computer Science and Engineering, Iran University of Science and Technology 2015-2016 PRESENTATIONS a) Invited Seminars 1) 2) 3) 4) 5) 6) 7) 8) 9) 10) 11) 12) 13) 14) 15) 16) 17) 18) 19) 20) 21) 22) 23) 24) 25) 26) 27) 28) 29) 30)

Department of Statistics, Univ. of Michigan, Jan 2010 Department of Statistics, Univ. of Washington, Oct 2011 Fred Hutchinson Cancer Research Center, Oct 2011 Institute for Research in Fundamental Sciences (IPM), Iran, Dec 2011 Department of Mathematical Sciences, Sharif University of Technology, Dec 2011 Machine Learning Seminar, Carnegie Mellon University, Jan 2012 Computational Biology and Bioinformatics Department, Duke University, Feb 2012 Department of Statistics and Actuarial Sciences, University of Waterloo, Sep 2012 Department of Statistics, Stanford University, Nov 2012 Department of Biostatistics, Univ. of Washington, Feb 2013 Department of Statistics, University of Pennsylvania, Oct 2013 Department of Statistics, West Virginia University, Oct 2013 Department of Statistics, Purdue University, Nov 2013 Department of Biomedical Informatics, University of Washington, Dec 2013 Department of Statistics, University of Wisconsin-Madison, Jan 2014 Department of Statistics, North Carolina State University, Jan 2014 Department of Statistics, Purdue University, Feb 2014 Department of Genome Sciences, University of Washington, Mar 2014 Computational Biology Program, Fred Hutchinson Cancer Research Center, Aug 2014 Division of Biostatistics, UC Berkeley, Oct 2014 Department of Mathematical Sciences, Sharif Univ. of Technology, Tehran, Iran, Dec 2014 Department of Statistics, University of Chicago, Jan 2015 Department of Biostatistics, Indiana University, Jan 2015 Division of Biostatistics, University of Minnesota, Feb 2015 PHeNOM Seminar Series, University of Washington, Feb 2015 Department of Biostatistics, University of North Carolina, Chapel Hill, Sep 2015 Department of Statistics, University of California at Los Angeles (UCLA), Oct 2015 Department of Biomedical Informatics, Univ. of California at San Diego (USCD), Feb 2016 Yahoo Machine Learning Seminar, University of Washington, Apr 2016 Biomathematics & Biostatistics Seminar, Fred Hutchinson Cancer Research Center, Apr 2016

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31) Data Science Seminar, Fred Hutchinson Cancer Research Center, July 2016 32) Biostatistics Division, Ohio State University, Oct 2016 33) Department of Biostatistics, Vanderbilt University, Nov 2016 b) Invited Talks in Conferences 1) 2) 3) 4) 5) 6) 7) 8) 9) 10) 11) 12) 13) 14) 15) 16) 17) 18) 19) 20) 21) 22) 23) 24) 25) 26) 27) 28) 29) 30) 31) 32) 33) 34) 35) 36)

Interdisciplinary Workshop on Statistical Topics, Univ. of Michigan, March 2009 First IMS-Asia-Pacific Rim Meeting, Seoul, South Korea, July 2009 Michigan Student Symposium in Interdisciplinary Statistical Sciences (MSSISS), April 2010 Inter-Group Seminar (IGS), University of Michigan, Oct 2010 Complex Network Transition Workshop, SAMSI, June 2011 Machine Learning Seminar, University of Washington, Oct 2011 Eastern North American Region of the International Biometrics Society (ENAR), March 2012 Perspectives on High-dimensional Data Analysis, CRM, Universite de Montreal, May 2012 Fields Institute Symposium Frontiers in Network Science (Guelph University), July 2012 Statistical Society of Canada (SSC) 2012, July 2012 International Chinese Statistical Association (ICSA) Meeting, July 2012 Joint Statistical Meetings (JSM), August 2012 Northwest Metabolomics Research Center Symposium, University of Washington, Sep 2012 INFORMS, Oct 2012 Perspectives on High-dimensional Data Analysis-III, University of British Columbia, Aug 2013 59th World Statistics Congress, Sep 2013 Eastern North American Region of the International Biometrics Society (ENAR), Mar 2014 Conference of the ASA Section on Statistical Learning and Data Mining, Jun 2014 2014 ICSA and KISS Joint Applied Statistics Symposium, Jun 2014 Conference of the International Society of Non-Parametric Statistics, Jun 2014 International Indian Statistical Association, July 2014 Perspectives on High-Dimensional Data Analysis-IV, BANF, Aug 2014 INFORMS, Oct 2014 ERCIM Computational & Methodological Statistics (CMStatistics), Italy, Dec 2014 Fred Hutchinson Cancer Research Center, From Data Science to Data Sense, May 2015 World Statistics Congress (WSC), July 2015 Joint Statistical Meetings (JSM), Aug 2015 Perspectives on High-dimensional Data Analysis-V, Victoria BC, Aug 2015 iBRIGHT: Integrative Biostatistics Research for Imaging, Genomics, & High-Throughput Technologies in Precision Medicine, Houston, TX, Oct 2015 Perspectives on High-dimensional Data Analysis-VI, Fields Institute, May 2016 ASA Statistical Learning and Data Science Conference, UNC Chapel Hill, May 2016 Fourth IMS Asia-Pacific Rim Meeting (APRM), Hong Kong, June 2016 Joint Statistical Meetings (JSM), Aug 2016 Workshop on Nonparametric Statistics, University of Michigan, Oct 2016 30th International Conference of Japanese Society of Computational Statistic (JSCS), Oct 2016 INFORMS, Nov 2016

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