We are committed to open access. If you know of a talk that we have given but were unable to attend, please contact us directly and we will be happy to send you slides and recordings if available.


  • Fan J. Spatially-Resolved Transcriptome-Scale Molecular Profiling by MERFISH Characterizes Sub-Cellular RNA Compartmentalization and RNA Velocity In Situ to Reveal Cell-Cycle Dependent Gene Expression. Gordon Research Conference. February 2020. (Talk)
  • Fan J. Spatial transcriptome profiling by MERFISH reveals sub-cellular RNA compartmentalization and cell-cycle dependent gene expression. KOGO/SGI. September 2019. (Talk)
  • Fan J. MERmaid - a React WebGL-Based Tool for Exploring Spatially Resolved Single-Cell Transcriptomics Data. Bio-IT World - Data Visualization and Exploration Tools. April 2019. (Talk)
  • Fan J. Integrated genetic and transcriptional analysis at the single-cell level. Arizona State University. Molecular, Cellular and Tissue Bioengineering Symposium – Single Cell Technologies from Method Development to Application. April 2019. (Talk)
  • Fan J. Integrated genetic and transcriptional analysis at the single-cell level. SCANGEN. ISMB. 2018. (Talk)
  • Fan J. Computational and Statistical Methods for Characterizing Single-cell Heterogeneity. Research In Progress - Division of Pulmonary and Critical Care Medicine. Northwestern University. 2018. (Talk)
  • Fan J. Classifying and characterizing single cells using transcriptional and epigenetic analysis. Minisymposium - After the Data Deluge: Grappling With Transcriptional Complexity in the Brain. Society for Neuroscience 2017. (Talk)
  • Fan J. Linking genetic and transcriptional intratumoral heterogeneity at the single cell level. Models, Inference, and Algorithms seminar series. Broad Institute, 2017. (Talk)
  • Fan J. Bioinformatics for Single Cell Analysis. Division of Immunology Bioinformatics Seminar, 2017 (Talk)
  • Fan J, Lee H, Lee S, Ryu D, Lee S, Kim SJ, Kim K, Park PJ, Park WY, Kharchenko PV. Linking transcriptional and genetic tumor heterogeneity through allele analysis of single-cell RNA-seq data. Wellcome Genome Campus, Single Cell Genomics Conference, 2016 (Poster)
  • Fan J. Applying single cell transcriptomics - unraveling the complexity of the developing human brain. Festival of Genomics, Single Cell Genomics, 2016 (Talk)
  • Fan J. Do art like a science. Do science like an art. TEDxJHU, Instructions Not Included, 2016 (Talk)
  • Fan J, Wang L, Brooks AN, Wan Y, Neuberg D, Rassenti K, Ghia E, Kipps T, Brown JR, Li S, Livak KJ, Meyerson MM, Kharchenko PV, Wu CJ Comprehensive Bulk and Single Cell Transcriptomic Characterization of SF3B1 Mutation Reveals its Pleiotropic Eects in Chronic Lymphocytic Leukemia. American Society of Hematology, 57th Annual Meeting and Exhibition, 2015 (Poster)
  • Fan J, Salathia N, Liu R, Kaeser G, Yung Y, Herman J, Kaper F, Fan JB, Zhang K, Chun J, and Kharchenko PV. PAGODA - Pathway and gene set overdispersion analysis characterizes single cell transcriptional heterogeneity. Cold Spring Harbor. Single Cell Analysis Meeting, 2015 (Talk)
  • Fan J, Lee HO, Lee S, Lee A, Park WY, Park PJ, Kharchenko PV. Hierarchical Bayesian Approach for CNV Detection from Single Cell RNA-seq Data. National Institutes of Health, Single Cell Investigators Meeting, 2015 (Poster)
  • Fan J, Salathia N, Liu R, Yung Y, Fan JB, Chun J, Zhang K, Kharchenko PV. Single Cell Dierential Expression Identies Neural Progenitor Subpopulations in the Developing Mouse Brain. National Institutes of Health, Single Cell Investigators Meeting, 2014 (Poster)
  • Fan J, Karchin R. Computational Assessment of the Utility of Limiting Orthologous Sequence Depth in Mutation Impact Prediction Performance. International Congress of Human Genetics/American Society of Human Genetics Conference, 2011 (Poster)