Talks

June 22, 2021 @ OHBM 2021 Open Science Room: “ciftiTools: Reading, analyzing, visualizing, and writing CIFTI files in R” Video available here and on the OSR 2021 YouTube channel.

June 18, 2021 @ OHBM 2021 Satellite Workshop on Nonstandard Brain Analysis: “Leveraging shared information with cortical surface fMRI to understand brain organization in individuals”

May 18, 2021 @ Statistical Methods in Imaging Conference: “Leveraging population & spatial information for accurate brain network estimationin individuals”

April 16, 2021 @ Statistics in Imaging Section of the ASA Webinar Series: “Template ICA: Using empirical population priors to provide accurate subject-level insights into functional brain organization”

March 23, 2021 @ PennSIVE Center of Excellence, University of Pennsylvania: “Using empirical population priors to provide accurate subject-level insights into functional brain organization through template ICA”

March 9, 2021 @ Department of Information System and Statistics, Baruch College, CUNY: “Template ICA: Leveraging population and spatial information to understand functional brain organization in individuals”

December 21, 2020 @ CMStatistics 2020: “Understanding changes in brain topology and connectivity through single-subject ICA with empirical population priors”

September 4, 2020 @ Advanced Computational Neuroscience Network (ACNN) Big Data Neuroscience Workshop 2020: “ciftiTools: Working with CIFTI files in R”. Video available here (start time: 1:02:30).

August 6, 2020 @ Joint Statistical Meetings: “Reliable estimation of individual brain organization leveraging population & spatial information”

August 5, 2020 @ Joint Statistical Meetings. Discussion of Elizabeth L. Scott Award Lecture by Dr. Amita Manatunga: “Understanding the brain and diagnosing neurological disease with neuroimaging data”

July 2, 2020 @ Organization for Human Brain Mapping: “Template ICA: Reliable subject-level brain network estimation through big data priors”

December 15, 2019 @ CMStatistics: “Leveraging spatial dependencies to improve estimation of individual brain organization”

December 13, 2019 @ Oxford Big Data Institute: “Template ICA: Accurate estimation of subject brain networks using empirical population priors”

March 4, 2018 @ Whistler Workshop on Brain Organization: “Identifying RSNs at the subject level: Bayesian ICA with empirical big data priors”

November 13, 2017 @ Indiana University Intelligent & Interactive Systems Talk Series: “A Spatial Bayesian Approach to Cortical Surface Task fMRI Analysis”   Video available here.

September 9, 2017 @ Big Data Neuroscience 2017 Workshop: “Borrowing Strength from Big Data: Estimating resting-state networks and connectivity at the subject level with population-level priors”

June 2, 2017 @ Statistical Methods in Imaging Conference: “Discussion: Everything you never wanted to know about functional connectivity”

June 1, 2017 @ Statistical Methods in Imaging Conference: “A Bayesian GLM Approach to Cortical Surface fMRI Data Analysis”

March 14, 2017 @ ENAR: “A Bayesian Approach to Cortical Surface Functional MRI Data Analysis”

November 18, 2016 @ Indiana Neuroimaging Symposium: “PCA Leverage Outlier detection for high-dimensional fMRI data”

June 3, 2016 @ Statistical Methods in Imaging Conference at University of Colorado Denver: “Empirical Bayes Shrinkage of Resting-State Functional Connectivity”

May 4, 2016 @ SAMSI Program on Challenges in Computational Neuroscience (CCNS) Transition Workshop: “PCA Leverage Outlier detection for high-dimensional (fMRI) data”

April 23, 2016 @ New England Statistical Symposium: “PCA LeverageOutlier detection for high-dimensional (fMRI) data”

March 7, 2016 @ Whistler Scientific Workshop on Brain Functional Organization, Connectivity and Behavior: “Scan Length, Shrinkage and Reliability of Functional Connectivity in the Human Connectome Project”

May 29, 2015 @ Statistical Methods in Imaging Conference at University of Michigan: “Automated Outlier Detection for fMRI”

Spring 2016 Job Talk: “Statistical Methods for Brain Connectivity Analysis”