Primer: Generalized linear models and latent factor models. Broad Institute Models, Inference, and Algorithms. October 2020
Dimension reduction for massive single-cell datasets. Bioconductor. July 2020
Don’t Normalize: the GLM-PCA Approach to Normalization. Normjam, New York Genome Center. November 2019
Biostatistics and Data Science as a Career Path. Biology Department, Washington & Lee University. October 2019
Dimension Reduction for Single Cell RNA-Seq based on a Multinomial Model. Joint Statistical Meetings (Denver, CO). August 2019
Feature Selection and Dimension Reduction for Single Cell RNA-Seq based on a Multinomial Model. UPenn Medical School (Greene Group). February 2019
Unsupervised Learning for Single Cell Gene Expression. Harvard Biostatistics Cancer Working Group. September 2018
Single Cell Housekeeping Genes and Normalization. Dana-Farber cBio Seminar. April 2018
Varying-Censoring Aware Matrix Factorization for Single Cell RNA-Sequencing. Bioconductor. July 2017
Bayesian Methods for Dependent Data. Biostatistics 245, Harvard School of Public Health. April 2016. Collaborator: Leah Comment
Family Based Association Tests for Rare Variants. Channing Division of Network Medicine, Brigham and Women’s Hospital. September 2015. Collaborator: Christoph Lange

Gene Expression Autoencoders. Biomedical Informatics 707, Harvard Medical School. April 2018. Collaborator: Chinmay Shukla
Mixture of Experts Analysis of Infectious Disease Outbreak Characteristics. Computer Science 281, Harvard School of Engineering and Applied Sciences. December 2015. Collaborator: Carla Marquez-Luna
Single Cell RNA-Seq Technical and Biological Confounders. Program in Quantitative Genomics Conference, Harvard Medical School. November 2015. Collaborators: Mihriban Karaayvaz, Shawn Gillespie, Bradley Bernstein, Leif Ellisen, and Martin Aryee