Conference Presentations

Whole Genome Sequencing Analyses of 87,652 Individuals Reveal Rare Variants in Promoter of HMGA1 Associated with Height
American Society of Human Genetics (ASHG) Virtual Meeting 2022, Los Angeles, CA (Oct 2022)

Whole Genome Sequencing Analyses of 87,652 Individuals Reveal Rare Variants in Promoter of HMGA1 Associated with Height
CHARGE Seattle Meeting 2022, Seattle, WA (Oct 2022)

Powerful, Scalable and Resource-Efficient Rare Variant Meta-Analysis of Whole-Genome Sequencing Studies Using Summary Statistics and Functional Annotations
Joint Statistical Meetings (JSM) 2022, Washington, DC (Aug 2022)

Scalable rare variant meta-analysis of sequencing studies using summary statistics and functional annotations
5th International Conference on Econometrics and Statistics (EcoSta 2022), Virtual (Jun 2022)

A resource-efficient tool for phenome-wide rare variant association analysis in large-scale whole-genome sequencing studies, with application to TOPMed metabolomics data
American Society of Human Genetics (ASHG) Virtual Meeting 2021, Virtual (Oct 2021)

A rare-variant meta-analysis approach for large-scale whole genome sequencing studies using summary statistics and functional annotations, with applications to lipid levels
TOPMed Virtual F2F Meeting 2020, Virtual (Dec 2020)

Scalable rare variant meta-analysis of whole genome sequencing studies using summary statistics and functional annotations
Program in Quantitative Genomics (PQG) Conference 2020, Virtual (Nov 2020)

Powerful and resource-efficient rare variant meta-analysis for large-scale whole genome sequencing studies using summary statistics and functional annotations, with application to TOPMed lipid data
American Society of Human Genetics (ASHG) Virtual Meeting 2020, Virtual (Oct 2020)

Dynamic incorporation of multiple in-silico functional annotations empowers rare variant association analysis of large-scale whole genome sequencing studies
American Society of Human Genetics (ASHG) Annual Meeting 2019, Houston, TX (Oct 2019)

Omnibus Weighting Incorporating Multiple Functional Annotations for Whole Genome Sequencing Rare Variant Association Studies
Joint Statistical Meetings (JSM) 2019, Denver, CO (Jul 2019)

Dynamic incorporation of multiple in-silico functional annotations empowers rare variant association analysis of large-scale whole genome sequencing studies
TOPMed F2F Spring Meeting 2019, Tysons, VA (Apr 2019)

Omnibus Weighting Incorporating Multiple Functional Annotations for Whole Genome Sequencing Rare Variant Association Studies
Eastern North America Region (ENAR) Spring Meeting 2019, Philadelphia, PA (Mar 2019)

A Statistical Framework on Clinical Trials for Information Integration Across Data Sources with Applications to Rare Disease Clinical Development
Joint Statistical Meetings (JSM) 2018, Vancouver, BC (Aug 2018)

Multivariate mixed models for predicting functional regions in the human genome
Joint Statistical Meetings (JSM) 2018, Vancouver, BC (Jul 2018)

Multivariate mixed models for predicting functional regions in the human genome
Program in Quantitative Genomics (PQG) Conference 2017, Boston, MA (Nov 2017)

Seminar Presentations

A multi-dimensional integrative scoring framework for predicting functional variants in the human genome
Journal Club of the Biostatistics and Genomics Core at the Program of Sleep Medicine Epidemiology, Brigham and Women’s Hospital, Harvard Medical School (Mar 2022)

Scalable rare variant meta-analysis of whole genome sequencing studies using summary statistics and functional annotations
Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School (Mar 2021)

Powerful and resource-efficient rare variant meta-analysis for large-scale whole genome sequencing studies using summary statistics and functional annotations, with application to TOPMed lipid data
Program in Quantitative Genomics (PQG) Working Group, HSPH (Dec 2020)

Scalable integrative statistical inference for whole-genome sequencing association studies
Genetic Epidemiology Journal Club, Emory University School of Medicine (Oct 2020)

A multi-dimensional integrative scoring framework for predicting functional regions in the human genome
Statistical Genetics Meeting (Joint Seminar), Broad Institute and HSPH (Oct 2020)

Powerful and resource-efficient rare variant meta-analysis for large-scale whole genome sequencing studies using summary statistics and functional annotations, with application to TOPMed lipid data
Virtual Medical and Population Genetics (MPG) Program Meeting, Broad Institute (Oct 2020)

Powerful and resource-efficient rare variant meta-analysis for large-scale whole genome sequencing studies using summary statistics and functional annotations, with application to TOPMed lipid data
Framingham Heart Study - OMICS Conference Series (FOCuS), FHS (NHLBI, Boston University) (Oct 2020)

Dynamic incorporation of multiple in-silico functional annotations empowers rare variant association analysis of large-scale whole genome sequencing studies
Statistical Genetics Meeting (Joint Seminar), Broad Institute and HSPH (Apr 2019)

Functional Analysis and Prediction of the Effect Sizes of Disease-Associated Common and Rare Variants
Statistical Genetics Meeting (Joint Seminar), Broad Institute and HSPH (Mar 2018)