Talks
Presentations and Workshops
Invited Talk on Bayesian Tensor Models for NeuroImage Data Harmonization, Vanderbilt University, November 2024.
Invited Talk on Bayesian Tensor Models for NeuroImage Data Harmonization, Indiana University, October 2024.
Invited Talk on Flexible Bayesian Product Mixture Models for Vector Autoregressions at The Joint Statistical Meetings, August 2024.
Invited Talk at The Fifth International Workshop on Statistical Analyses of Multi-Outcome Data (SAM 2024), Salzburg, Austria, July 2024.
Invited Talk at The Western North American Region (WNAR) Conference, Colorado State University, June 2024.
Invited Talk at The 37th New England Symposium, University of Connecticut, Storrs, CT, May 2024.
Invited Talk on Bayesian Longitudinal Tensor Models for High-dimensional Imaging Genetics Analysis at ASA Statistics in Imaging Virtual Meeting, October 2023.
Invited Talk on Bayesian Longitudinal Tensor Models for High-dimensional Imaging Genetics Analysis at UT Health School of Public Health, October 2023.
Invited Talk on Bayesian Tensor Approaches for Integrative Imaging Analysis at Statistical Methods in Imaging Conference, University of Minnesota, May 2023.
Invited Talk on Statistical Methods to Address Noise and Heterogeneity in Medical Imaging Analysis at The Department of Imaging Physics, UT MD Anderson Cancer Center, February 2023.
Invited Talk at The Department of Neuro-Oncology, UT MD Anderson, November 2022.
Invited Talk at The Data Science Forum, UT MD Anderson Cancer Center, August 2022.
Invited Talk on Classification Using High-Dimensional Noisy Images at Statistical Methods in Imaging Conference, Vanderbilt University, May 2022.
Invited Talk on Bayesian Methods for Complex High-Dimensional Imaging Data at ENAR 2022, Houston, TX.
Invited Talk on Non-parametric Bayesian Vector Autoregressive Models for Multi-subject Data at The University of Florida, October 2021.
Invited Talk on Statistical Methods for Integrative Analysis of Multiple Neuroimaging Datasets at The Data Science Forum at The University of Texas at MD Anderson, October 2021.
Invited Talk on Non-parametric Bayesian Vector Autoregressive Models for Multi-subject Data at Rice University, October 2021.
Invited Talk on Statistical Methods for Integrative Analysis of Multiple Neuroimaging Datasets at The University of California at Los Angeles, October 2021.
Invited Talk on Prediction Based on High-dimensional Networks at the Joint Statistical Meetings, August 2021.
Invited Talk on Prediction Based on High-dimensional Networks at the International Indian Statistical Association conference, May 20–23, 2021.
Invited Talk at Quality and Productivity Research Conference by The American Statistical Association, June 2020, titled “Reliability in Big Data Integration,” Department of Statistics, Florida State University.
Invited Talk at iBRIGHT Conference, MD Anderson Cancer Research Center, November 2019, titled “Estimating Dynamic Brain Networks Using Changepoint Analysis.”
Invited to present the activities of the Data Analytics and Biostatistics Core program based in the Department of Medicine at the Emory Division of Digestive Diseases retreat at Callaway Resort and Gardens in Pine Mountain, Georgia, October 2019.
Invited Talk at Department of Statistics, Texas A&M University, September 2019, titled “Integrative Statistical Methods for Brain Network Analysis.”
Invited Talk at Department of Biostatistics, UNC Chapel Hill, September 2019, titled “Integrative Statistical Methods for Brain Network Analysis.”
Invited to Deep Learning Workshop, SAMSI, Raleigh, NC, August 12–16, 2019.
Featured Speaker at Advanced Biomedical Engineering and Instrumentation Summit (ABEIS-2019), San Francisco, June 2019.
Invited Talk at School of Business, Indian Institute of Technology, Delhi, India, June 2019, titled “Privacy-preserving Factor Analysis Models for High-dimensional Neuroimaging Data.”
Invited Talk at Statistics in Medical Imaging Conference, UCI, CA, June 2019, titled “A Semi-parametric Bayesian Approach for Regression with Network-valued Covariates.”
Invited Talk at Department of Biostatistics, U of Pennsylvania, January 2019, titled “Bayesian Matrix Normal Graphical Models for Brain Networks.”
Invited Talk scheduled at Department of Biostatistics, Virginia Central University, January 2019, titled “Bayesian Matrix Normal Graphical Models for Brain Networks.”
Invited Presentation on “Integrative Analysis of Brain Networks Incorporating Anatomical Knowledge,” Joint Statistical Meetings, 2018.
Invited Presentation at IISA 2018, titled “Scalable Bayes Variable Selection for Structured High Dimensional Data,” May 2018.
Invited Presentation at the ICSA 2018 Conference, titled “Scalable Bayes Variable Selection for Structured High Dimensional Data.”
Invited Presentation at the Joint Statistical Meetings 2017, titled “Scalable Bayes Variable Selection for Structured High Dimensional Data.”
Featured Speaker at the Georgia Statistics Day 2016.
Invited Presentation at the Department of Biomedical Engineering, Emory University (Dr. Keilholz Lab), titled “Estimating Dynamic Brain Functional Networks Using Multi-subject fMRI Data,” 2016.
Invited Presentation, “Estimating Dynamic Brain Functional Networks Using Multi-subject fMRI Data,” ICSA 2016 Conference, Georgia State University, Atlanta, GA.
Contributed Presentation, “Scalable Bayesian Variable Selection for Structured Data,” Joint Statistical Meetings, Chicago, IL, 2016.
Poster Presentation at the Organization of Human Brain Mapping (OHBM), June 2016, Switzerland.
Contributed Presentation, “Bayesian Variable Selection with Structure Learning: Applications to Integrative Genomics,” Joint Statistical Meetings, Seattle, 2015.
Invited Presentation, “Bayesian Regularized Approaches for High-Dimensional Graphical Models,” Department of Statistics, University of California at Santa Cruz, January 2014.
Invited Presentation, “Flexible Bayesian Approaches for Regression and Variable Selection,” Department of Biostatistics, University of Florida, January 2014.
Invited Presentation, “Bayes Regularized Graphical Model Estimation in High Dimensions,” Department of Biostatistics, MD Anderson, Houston, TX, November 2013.
Invited to the LDHD Workshop, SAMSI, Raleigh, NC, 2013.
Presented “Bayes Variable Selection in Semi-parametric Linear Models,” Eastern North American Region Conference, Orlando, 2013.
Invited Presentation, “Bayes Variable Selection in Semi-parametric Linear Models,” Joint Statistical Meetings, Miami, 2011.
Invited to attend Workshop on Sensing and Analysis of High-Dimensional Data, Duke University, Durham, USA, 2011.
Presented “Latent Factor Models for Density Estimation,” Eastern North American Region Conference, Miami, 2011.
Presented “Latent Factor Models for Density Estimation,” 3rd International Conference of the ERCIM Working Group on Computing and Statistics, London, U.K., 2010.
Presented “Number Needed to Treat for Time to Event Data with Competing Risks,” Eastern North American Region Conference, New Orleans, 2010.