Talks
Selected presentations and invited talks on statistical genetics, causal inference, AI for science, and related topics.
Below is a selection of my invited talks, conference presentations, and seminars. Slides, where available, are linked.
Benchmarking DNA Foundation Models for Genomic Sequence Classification
- Invited presentation, ENAR 2025 Spring Meeting, New Orleans, LA (Mar. 2025)
Large-scale imputation models for multi-ancestry proteome-wide association analysis
- Invited presentation, MidSouth Computational Biology and Bioinformatics Society (MCBIOS) 2024, Atlanta, GA (Mar. 2024)
- Invited presentation, Vanderbilt University, Virtual (Mar. 2024)
- Invited presentation, ICSA 2024 China Conference, Wuhan, China (Jun. 2024)
- Contributed presentation, 2024 Joint Statistical Meetings (JSM), Portland, OR (Aug. 2024)
- Invited presentation, Association of Chinese Americans in Cancer Research (ACACR) Summer Seminar, Virtual (Aug. 2024)
An iterative method for detecting outlying studies in meta-analysis
- Invited presentation, WNAR 2023, Anchorage, AK (Jun. 2023)
SUMMIT: An integrative approach for better transcriptomic data imputation improves causal gene identification
- Invited presentation, 2023 ICSA Applied Statistics Symposium, Ann Arbor, MI (Jun. 2023)
- Invited presentation, The 12th ICSA International Conference, Hong Kong, China (Jul. 2023)
- Invited presentation, University of Hawaii Cancer Center, Honolulu, HI (Mar. 2023)
- Invited talk, Indiana University School of Medicine (Biostatistics), Virtual (Mar. 2023)
- Invited talk, UTHealth Houston School of Public Health (Human Genetics Center), Houston, TX (Sept. 2023)
- Invited talk, University of Chicago (Statistical genetics/genomics Journal club), Virtual (Jun. 2023)
- Invited talk, University of Arizona (Epidemiology and Biostatistics), Virtual (Sept. 2023)
- Invited presentation, New Investigator in AD and AFAR Grantee Conference, Virtual (Oct. 2021)
Accounting for winner’s curse and pleiotropy in two-sample Mendelian randomization
- Department seminar, Tulane University, Biomedical Informatics & Genomics Center, Virtual (Dec. 2021)
- Department seminar, The Chinese University of Hong Kong, Statistics, Virtual (Dec. 2021)
- Invited talk, UC Berkeley (Causal inference working group), Virtual (Jan. 2022)
- Invited presentation, The ICSA 2022 Applied Statistics Symposium, Gainesville, FL (Jun. 2022)
A regularization-based adaptive test for high-dimensional generalized linear models
- Department seminar, Shanghai University of Finance and Economics, Statistics, Virtual (Dec. 2020)
- Department seminar, Washington University School of Medicine, Biostatistics, Virtual (Dec. 2020)
Novel strategy for disease risk prediction incorporating predicted gene expression and DNA methylation: a multi-phased study of prostate cancer
- Invited Presentation, International Indian Statistical Association (IISA) 2021, Virtual (May 2021)
- Department seminar, Florida State University School of Medicine, Virtual (Sept. 2020)
A gene-level methylome-wide association analysis identifies novel Alzheimer’s disease genes
- Poster presentation, ASHG 2020, Virtual (Oct. 2020)
A powerful fine-mapping method for transcriptome-wide association studies
- Invited presentation, JSM 2020, Virtual (Aug. 2020)
Multi-trait genome-wide analyses of the brain imaging phenotypes in UK Biobank
- Platform presentation, ASHG 2019, Houston, TX (Oct. 2019)
Complex Disease Risk Prediction via a Deep Learning Method
- Presentation, JSM 2019, Denver, CO (Jul. 2019)
An adaptive test for high-dimensional generalized linear models with application to detect gene-environment interactions
- Presentation, ENAR 2019 Spring Meeting, Philadelphia, PA (Mar. 2019)
Integration of methylation QTL and enhancer-target gene maps with schizophrenia GWAS summary results identifies novel genes
- Oral presentation, IGES 27th Annual Meeting, San Diego, CA (Oct. 2018)
Integrating eQTL data with GWAS summary statistics identifies novel genes and pathways associated with schizophrenia
- Poster talk , ASHG 2017 Annual Meeting, Orlando, FL (Oct. 2017)
- Poster , ASHG 2017 Annual Meeting, Orlando, FL (Oct. 2017)
Imaging-wide association study: integrating imaging endophenotypes in GWAS
- Invited presentation, 2017 JSM (On Prof. Wei Pan’s behalf), Baltimore, MD (Aug. 2017)
- Invited presentation, Third Annual Kliakhandler Conference (On Prof. Wei Pan’s behalf), Houghton, MI (Aug. 2017)
An adaptive test on high dimensional parameters in GLMs
- Presentation, ENAR 2017 Spring Meeting, Washington, DC (Mar. 2017)
- Presentation, 2017 JSM, Baltimore, MD (Aug. 2017)
- Poster presentation, 2017 School of Public Health Research Day, UMN, Minneapolis, MN (Apr. 2017)
- Poster presentation, Minnesota Supercomputing Institute (MSI) Research Exhibition 2017, UMN, Minneapolis, MN (Apr. 2017)
A gene-level adaptive association test for methylation data
- Presentation, Genetic Analysis Workshop (GAW) 20, San Diego, CA (Mar. 2017)
An adaptive association test for microbiome data
- Presentation, ENAR 2016 Spring Meeting, Austin, TX (Mar. 2016)
- Presentation, 2016 JSM, Chicago, IL (Aug. 2016)
- Poster presentation, 2016 School of Public Health Research Day, UMN, Minneapolis, MN (Apr. 2016)
- Poster presentation, Minnesota Supercomputing Institute (MSI) Research Exhibition 2016, UMN, Minneapolis, MN (Apr. 2016)
Iterative PCA in epigenome-wide association studies
- Poster presentation, ASHG 2016, Vancouver, BC, Canada (Oct. 2016)
Asymptotic distribution of the largest eigenvalue with application to genetic data
- Journal Club presentation, NIGMS T32 Training Grant, UMN, Minneapolis, MN (2016)