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<!DOCTYPE html><html><head><title></title><link rel="shortcut icon" href="/favicon.ico" /><meta http-equiv="Content-type" content="text/html;charset=UTF-8" /><meta name="viewport" content="width=800" /><meta name="description" content="" /><meta name="generator" content="EverWeb 2.9.1 (2184)" /><meta name="buildDate" content="Tuesday, December 26, 2023" /><meta property="og:url" content="https://www.ics.uci.edu/~babaks/activities.html" /><meta property="og:type" content="website" /> <link rel="stylesheet" type="text/css" href="ew_css/textstyles.css?3786495355" /><link rel="stylesheet" type="text/css" href="ew_css/responsive.css?3786495355" /><script type="text/javascript" src="ew_js/imageCode.js"></script><link rel="stylesheet" type="text/css" href="ew_css/italy/pagestyle.css?3.786467e+9" /><style type="text/css">div.container {min-height: 4520px;}.shape_6 {background-color:#F0F0F0;opacity: 1.00; filter:alpha(opacity=100);}.shape_9 {background-color:#677284;opacity: 1.00; filter:alpha(opacity=100);}</style></head><body><div class="container" style="height:4520px"><header><div style="position:relative"><div class="ewnavmenu" id="navmenu_menu0" style="left:123px;top:21px;height:26px;width:556px;z-index:10000;position: absolute;"><ul id="navigation_menu0"><li><a class="main item0" href="index.html" data-linkuuid="B3625137BCF14CE8874DEA98E4F91B36">HOME</a></li><li><a class="main item1" href="research.html" data-linkuuid="B3625137BCF14CE8874DEA98E4F91B36">RESEARCH</a></li><li><a class="main item2" href="publication.html" data-linkuuid="B3625137BCF14CE8874DEA98E4F91B36">PUBLICATION</a></li><li><a class="main item3" href="teaching.html" data-linkuuid="B3625137BCF14CE8874DEA98E4F91B36">TEACHING</a></li><li><a class="main item4" href="activities.html" data-linkuuid="B3625137BCF14CE8874DEA98E4F91B36">ACTIVITIES</a></li><li style='margin-right:0px;' class="last"><a class="main item5" href="codes.html" data-linkuuid="B3625137BCF14CE8874DEA98E4F91B36">CODES</a></li></ul></div></div><div class="shape_1" style="left:0;top:0.125px;width:100%;min-width:800px;height:50px;z-index:1;position: absolute;"></div><div style="position:relative"><div class="shape_2" style="left:-0.5px;top:12.625px;width:139px;height:37px;z-index:2;position: absolute;"><div style="padding: 4.75px 2.16px 4.32px 2.16px; "><p style="line-height:17px;margin-top:0px;margin-bottom:11px;" class="Style43">Babak Shahbaba</p></div></div></div><div style="position:relative"><div class="shape_3" style="left:0.75px;top:51px;width:797px;height:292px;z-index:3;position: absolute;"><img src="masterfiles/italy/images/Italy.jpg" height="292" width="797" data-src2x="masterfiles/italy/images/Italy@2x.jpg" srcset="masterfiles/italy/images/Italy.jpg 1x, masterfiles/italy/images/Italy@2x.jpg 2x" /></div></div><div style="position:relative"><div class="shape_4" style="left:470.5px;top:101px;width:267px;height:20px;z-index:4;position: absolute;"><img src="masterfiles/italy/images/shape_4.png" height="20" width="267" alt="(placeholder)" data-src2x="masterfiles/italy/images/shape_4@2x.png" srcset="masterfiles/italy/images/shape_4.png 1x, masterfiles/italy/images/shape_4@2x.png 2x" /></div></div><div style="position:relative"><div class="shape_5" style="left:417px;top:53px;width:382px;height:156px;z-index:5;position: absolute;"><p style="line-height:14px;text-align:center;margin-top:0px;margin-bottom:0px;" class="Style44">Babak Shahbaba, PhD</p><p style="line-height:14px;text-align:center;margin-bottom:0px;margin-top:0px;" class="Style44">Professor of Statistics and Computer Science </p><p style="line-height:14px;text-align:center;margin-bottom:0px;margin-top:0px;" class="Style44">Director of The UCI Data Science Initiative</p><p style="line-height:14px;text-align:center;margin-bottom:0px;margin-top:0px;" class="Style44">University of California, Irvine</p><p style="line-height:9.8px;text-align:center;margin-bottom:0px;margin-top:0px;" class="Style45"><br /></p><p style="line-height:14px;text-align:center;margin-bottom:0px;margin-top:0px;" class="Style44">Scalable Bayesian Inferences</p><p style="line-height:14px;text-align:center;margin-bottom:0px;margin-top:0px;" class="Style44">Nonparametric Bayesian Methods</p><p style="line-height:14px;text-align:center;margin-bottom:0px;margin-top:0px;" class="Style44">Statistical Methods in Biological Sciences </p></div></div></header><div class="content" data-minheight="0"><div class="shape_6" style="left:0;top:342.5px;width:100%;min-width:800px;height:4035px;z-index:6;position: absolute;"></div><div style="position:relative"><div class="shape_7" style="left:0px;top:343px;width:800px;height:4016px;z-index:7;position: absolute;"><div style="padding: 2.16px 2.16px 2.16px 2.16px; "><p style="line-height:12px;text-align:center;margin-top:0px;margin-bottom:0px;" class="Style4"><br /></p><p style="line-height:34.5px;text-align:center;margin-bottom:0px;margin-top:0px;" class="Style5">ACTIVITIES</p><p style="line-height:12px;margin-bottom:0px;margin-top:0px;" class="Style4"><br /></p><p style="line-height:28.5px;margin-bottom:0px;margin-top:0px;" class="Style2">Mentoring And Supervision</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style28">Current Group Members</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Wenzhuo Zhou, Postdoctoral Fellow, Statistics, Co-supervising with Annie Qu</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Derenik Haghverdian, PhD student, Statistics (NSF GRFP Awardee)</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Zahra Moslemi, PhD Student, Statistics</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Yueqi Ren, MD/PhD Student, Co-supervising with Craig Startk (NIH F30 Awardee)</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Brian Schetzsle, PhD student, Statistics</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6"><br /></p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style28">Former Group Members</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Rui Miao, Postdoc, Statistics, 2023 (Co-supervised with Annie Qu); Mathematical Statistician, NIH/NHLBI</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Francesco Denti, Postdoc, Statistics, 2022; Assistant Professor, Università Cattolica del Sacro Cuore, Milan</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Michelle Ngo, PhD Student, Systems Biology, 2022; Data Scientist at Merck</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Luis De Jesus Martinez Lomeli, PhD Student, Systems Biology 2021; Data Scientist at Mythic</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Lingge Li, PhD Student, Statistics, 2020 (Co-supervised with Pierre Baldi; ); Data Scientist at Meta</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Tian Chen, PhD Student, Statistics, 2019; Data Scientist at Cylance</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Forest Agostinelli, PhD Students, CS 2019 (Co-mentored with Pierre Baldi); Assistant Proferssor at University of South Carolina</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Andrew Holborook, PhD Student, Statistics, 2018 (Savage Award runner-up); Assistant Professor at UCLA</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Cheng Zhang, PhD Student, Mathematics, 2017 (Co-advised with Hongkai Zhao); Assistant Professor at Peking University</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Alexander Vandenberg-Rodes, Research Scientist, 2017; Data Scientist at Obsidian Security</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Sepehr Akhavan, PhD Student, Statistics, 2016, (Co-supervised with Dan Gillen); Data Scientist at Meta</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Bo Zhou, PhD Student, Statistics, 2015; Principal Quantitative Analyst at Capital One)</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Shiwei Lan, PhD Student; Statistics, 2013; Assistant Professor at Arizona State University</p><p style="line-height:18px;margin-bottom:0px;margin-top:0px;" class="Style4"><br /></p><p style="line-height:28.5px;margin-bottom:0px;margin-top:0px;" class="Style2">Research Grants</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style28">Current</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">IIS-2123366 (Lead PI: Shahbaba), 09/21-08/24</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">NSF</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style29">Collaborative Research: HDR DSC: Data Science Training and Practices: Preparing a Diverse Workforce via Academic and Industrial Partnership</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Through engaging students selected from a pool of highly diverse populations in STEM areas, this project, California Data Experience Transformation (CADET), will facilitate data science training via curriculum development, hands-on experiences, and close interactions with both academic and non-academic organizations. </p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6"><br /></p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">R01MH115697 (Shahbaba), 01/18-12/23 </p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">NIH/NIMH</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Role: PI</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style29">Scalable Bayesian Stochastic Process Models for Neural Data Analysis</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">The overarching goal of this study is to understand the neural basis of complex behaviors and temporal organization of memories. To this end, we will develop a new powerful and scalable class of statistical models for studying multimodal neural data using Bayesian stochastic processes and computationally efficient algorithms. The potential clinical impact of this study is broad. Our research will address fundamental and unresolved questions about hippocampal function, and these novel approaches may subsequently lead to unprecedented insight into the neural mechanisms underlying memory impairments.</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">See our <a href="https://github.com/users/babaks/projects/2" class="linkStyle_12">GitHub</a><span class="Style8"> page for a brief report of our findings and results. </span></p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6"><br /></p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style28">Completed</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">DMS 1763272 (Nie), 07/18-06/23</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">NSF/Simons Foundation</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Role: Senior Personnel</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style29">The NSF-Simons Center for Multiscale Cell Fate</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">The overarching objective of this center is to investigate how cells differentiate into different cell types. </p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6"><br /></p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">DMS1936833 (PI: Shahbaba), 08/19-07/22</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">NSF</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style29">MODULUS: Data-Driven Mechanistic Modeling of Hierarchical Tissues</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">This project will develop new statistical and mathematical models that describe how cells and molecules within cells self organize to perform biological functions within an organism. More specifically, we will use our models to investigate hematopoiesis, which is a remarkable biological process responsible for creation and maintenance of blood cells, and involves complex interactions among biochemical and physical events across temporal and spatial scales that are still not well-understood. Additionally, this project will provide undergraduate and graduate students with a true interdisciplinary experience with equal mentorship from data and biological scientists. </p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6"><br /></p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">DMS 1622490 (Shahbaba), 08/16-07/19 </p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">NSF</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Role: PI</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style29">Theory and practice for exploiting the underlying structure of probability models in big data analysis</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">The objective of this project is to combine geometric techniques with computational algorithms in order to scale up statistical methods used for big data analysis.</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">See our <a href="https://github.com/users/babaks/projects/1" class="linkStyle_12">GitHub</a><span class="Style8"> page for a brief report of our findings and results. </span></p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6"><br /></p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">IIS 1216045 (Welling), 09/12-08/15 </p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">NSF </p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Role: Co-PI</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style29">Efficient Bayesian Learning from Stochastic Gradients</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">This proposal studies a new family of MCMC procedures that requires only very few data-cases per update.</p><p style="line-height:18px;margin-bottom:0px;margin-top:0px;" class="Style4"><br /></p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">R01 AI107034 (Minin), 05/13-04/18 </p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">NIH </p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Role: Co-Investigator</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style29">Bayesian Modeling and Data Integration in Infectious Disease Phylodynamics</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">The objective of this project is to develop new statistical methodology for analysis of population dynamics of infectious disease agents by integrating gene sequencing and other data collected in infectious disease surveillance programs.</p><p style="line-height:18px;margin-bottom:0px;margin-top:0px;" class="Style4"><br /></p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">R01 MH091351 (Buss), 12/10-11/15 </p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">NIH/ National Institute of Mental Health </p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Role: Key Personnel</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style29">Fetal Programming of the Newborn and Infant Human Brain</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">The goal of this proposed research is to test specific hypotheses about the effects of in-utero biological stress exposure on human brain morphology and white matter integrity at birth and over the first year of postnatal life. </p><p style="line-height:18px;margin-bottom:0px;margin-top:0px;" class="Style4"><br /></p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">R01 HD065825-01 (Entringer), 07/10-06/15 </p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">NIH-NICHD</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Role: Key Personnel</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style29">Prenatal Stress Biology, Infant Body Composition and Obesity Risk </p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">The overall objective of this project is to evaluate the impact of maternal biological stress during pregnancy on infant body composition and metabolic function.</p><p style="line-height:18px;margin-bottom:0px;margin-top:0px;" class="Style4"><br /></p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">R01 HD060628 (Wadhwa, PI), 02/10-01/15 </p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">NIH-NICHD</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Role: Key Personnel</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style29">EMA Assessment of Biobehavioral Processes in Human Pregnancy<span class="Style30"> </span></p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">The overall objective of this project is to evaluate the impact of maternal psychosocial and biological stress, assessed with state-of the art ambulatory measures, on length of gestation.</p><p style="line-height:18px;margin-bottom:0px;margin-top:0px;" class="Style4"><br /></p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">R01 ES012243 (Delfino), 04/11-01/16 </p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">NIH-NIEHS</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Role: Key Personnel</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style29">Transcriptomic, Oxidative Stress, and Inflammatory Responses to Air Pollutants</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">This study would be among the first using repeated measurements to analyze the relation between chemically characterized air pollutants and genome-wide gene expression patterns in peripheral blood cells from a high-risk population of elderly </p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">individuals.</p><p style="line-height:18px;margin-bottom:0px;margin-top:0px;" class="Style4"><br /></p><p style="line-height:28.5px;margin-bottom:0px;margin-top:0px;" class="Style2">Selected Invited Talks And Conference Presentations</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style11">Workshop on Computational Statistics and Data-Driven Models (Virtual), Brown University, ICERM 2020.</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style11">Novel Statistical Methods for Complex Data, Vina del Mar, Chile, March 25 to 29, 2019.</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Dynamic Bayesian models for Neural Data Analysis, 9th International Purdue Symposium on Statistics, June 2018</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Decoding of Hippocampal Neural Activity Using Deep Learning Methods, Workshop on Deep Learning, Tokyo, March 2018</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Wormhole Hamiltonian Monte Carlo, MCQMC at Stanford, August 2016</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Variational Hamiltonian Monte Carlo, ICERM at Brown University, July 2016</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Scalable Monte Carlo Methods, UCLA, October 28, 2015 </p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Scalable Monte Carlo Methods, University of Texas at Austin, October 16, 2015</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">A Dynamic Bayesian Model for Cross-Neuronal Interactions, JSM, Seattle, August 13, 2015</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Dependent Matern Process, 3rd Meeting on Statistics, Athens, June 2015</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">UCI Neurology Grand Rounds, October 2014 </p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">A Non-stationary Copula Model for Simultaneously-recorded Neurons, California State University, Fullerton, 2014 </p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Dirichlet Process Mixture of Gaussian Processes for Joint Modeling of Longitudinal and Survival Data, ISBA 2014 </p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">A Gaussian Process Model for Estimating Within-Subject Volatility in Longitudinal Models, UCSD, Spring 2014 </p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">A Semiparametric Bayesian Model for Detecting Multiway Synchrony Among Neurons, ENAR 2014 </p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Geometric Methods in Markov Chain Monte Carlo, UCSC, Spring 2014 </p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">A Gaussian Process Model for Estimating Within-Subject Volatility in Longitudinal Models, UCSD, Spring 2014 </p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Dirichlet Process Mixture of Gaussian Processes for Joint Modeling of Longitudinal and Survival Data, ISBA 2014 </p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Towards Scalable Bayesian Inference, Duke University, 2013 </p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Split Hamiltonian Monte Carlo, JSM, 2013 </p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Hamiltonian Monte Carlo and Its Variations, Department of Mathematics, UCI, 2013</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Split Hamiltonian Monte Carlo, University of Washington, 2012 </p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Bayesian Gene Set Analysis, MD Anderson, 2012 </p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Bayesian Nonparametric Variable Selection, JSM, 2012</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Bayesian Relevance Determination, California State University, Fullerton, 2012 </p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Bayesian Relevance Determination, WNAR, 2011 </p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Bayesian Gene Set Analysis, SDSU, 2010 </p><p style="line-height:18px;margin-bottom:0px;margin-top:0px;" class="Style4"><br /></p><p style="line-height:28.5px;margin-bottom:0px;margin-top:0px;" class="Style2">Editorial Works And Reviews</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Associate editor for JASA/TAS Reviews, 2014-2019</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Associate editor for CHANCE, 2011-2019</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Member of Scientific Review Committee (SRC) at UCI, 2012-2014</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">I have severed in several NSF panels</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">I have reviewed manuscripts for many journals including:</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Journal of the Royal Statistical Society, Journal of the American Statistical Association (JASA), Bayesian Analysis, Biometrics, Statistical Science, Journal of Machine Learning Research (JMLR), Statistics in Medicine, Statistical Analysis and Data Mining, Artificial Intelligence, Journal of Applied Statistics, Biometrical Journal, IEEE Transactions on Neural Networks, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Statistical Applications in Genetics and Molecular Biology, Physics in Medicine and Biology, Pattern Recognition Letter, Nature Biotechnology</p><p style="line-height:18px;margin-bottom:0px;margin-top:0px;" class="Style4"><br /></p><p style="line-height:28.5px;margin-bottom:0px;margin-top:0px;" class="Style2">Affiliations</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style28">Centers</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Data Science Initiative (Director)</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Center for Machine Learning and Intelligent Systems</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Center for Multiscale Cell Fate Research</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Center for Complex Biological Systems</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Institute for Genomics and Bioinformatics</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style28">Organizations</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">Elected Fellow of American Statistical Association (ASA)</p><p style="line-height:24px;margin-bottom:0px;margin-top:0px;" class="Style6">The International Society for Bayesian Analysis (ISBA)</p></div></div></div><div style="position:relative"><div class="shape_8" style="left:275.5px;top:373px;width:243px;height:20px;z-index:8;position: absolute;"><img src="images/activities/shape_8.png" height="20" width="243" alt="(placeholder)" 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