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.

INVITED TALKS AND PRESENTATIONS

  • Brendan F Miller, Lyla Atta, Arpan Sahoo, Feiyang Huang, Jean Fan. Reference-free cell-type deconvolution of pixel-resolution spatially resolved transcriptomics data. University of Sydney Statistical Bioinformatics Seminar series. Sept 2021. (Talk)
  • Jean Fan. A guide to the academic job search: research intensive STEM positions. Sept 2021. (Talk)
  • Michael I Miller, Jean Fan, Daniel Tward. Multi-scale representations of the molecular and tissue continuum. BICCN morphology working group meeting. Sept 2021. (Talk)
  • Jean Fan. Statistical approaches and computational tools for analyzing spatially resolved transcriptomics data. Spatial Omics Seminar Series. June 2021. (Talk)
  • Jean Fan. Modeling and Visualizing RNA Velocity of Single Cells. USC Biostatistics Division. May 2021. (Talk)
  • Jean Fan. Modeling and Visualizing RNA Velocity of Single Cells. Pfizer Single Cell Working Group. April 2021. (Talk)
  • Lyla Atta, Arpan Sahoo, Jean Fan. VeloViz: RNA-velocity informed embeddings for visualizing cellular trajectories. Broad Single Cell Workshop. April 2021. (Talk)
  • Lyla Atta, Arpan Sahoo, Jean Fan. VeloViz: RNA-velocity informed 2D embeddings for visualizing cellular trajectories. Women of Whiting Symposium Women in STEM Symposium. April 2021. (Poster)
  • Jean Fan. Modeling and Visualizing RNA Velocity of Single Cells. Single Cell Biology Keystone eSymposium. March 2021. (Talk)
  • Jean Fan. Modeling and Visualizing RNA Velocity of Single Cells. Brigham and Women’s Hospital Channing Division of Network Medicine. March 2021. (Talk)
  • Jean Fan. Computational Methods for Molecular and Spatial Transcriptomic Characterization of the Brain. UCLA Brain Mapping Center. March 2021. (Talk)
  • Jean Fan. Modeling and visualizing RNA velocity of single cells. Research Program in Quantitative Sciences seminar series. JHMI. Feb 2020. (Talk)
  • Jean Fan. Modeling and visualizing RNA velocity of single cells in situ. Biochemistry and molecular biology weekly seminar series. Johns Hopkins School of Public Health. Dec 2020. (Talk)
  • Jean Fan. Linking transcriptional and genetic tumor heterogeneity through allele analysis of single-cell RNA-seq data. Public Journal Club Computational Biology. Nov 2020. (Talk)
  • Jean Fan. Molecular and spatial single-cell profiling of the brain. Kavli NDI Breakfast chalk talk. Nov 2020. (Talk)
  • Jean Fan. Spatial transcriptome profiling by MERFISH and RNA velocity in situ analysis reveals cell cycle-dependent gene expression. Frontiers in Single Cell Genomics – Cold Spring Harbor Asia. Oct 2020. (Talk)
  • Jean Fan. Computational analysis of cellular and subcellular spatial transcriptional heterogeneity. Center for Computational Genomics - Symposium on Genomics & Bioinformatics. Johns Hopkins Medicine. Oct 2020. (Talk)
  • Jean Fan. Computational methods for analyzing spatially resolved single-cell transcriptomics data. Keck Seminar series by the Gulf Coast Consortia. Oct 2020. (Talk)
  • Jean Fan. 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)
  • Jean Fan. Spatial transcriptome profiling by MERFISH reveals sub-cellular RNA compartmentalization and cell-cycle dependent gene expression. KOGO/SGI. September 2019. (Talk)
  • Jean Fan. 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)
  • Jean Fan. 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)
  • Jean Fan. Integrated genetic and transcriptional analysis at the single-cell level. SCANGEN. ISMB. 2018. (Talk)
  • Jean Fan. Computational and Statistical Methods for Characterizing Single-cell Heterogeneity. Research In Progress - Division of Pulmonary and Critical Care Medicine. Northwestern University. 2018. (Talk)
  • Jean Fan. 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)
  • Jean Fan. Linking genetic and transcriptional intratumoral heterogeneity at the single cell level. Models, Inference, and Algorithms seminar series. Broad Institute, 2017. (Talk)
  • Jean Fan. Bioinformatics for Single Cell Analysis. Division of Immunology Bioinformatics Seminar, 2017 (Talk)
  • Jean Fan, Hae-Ock Lee*, Soohyun Lee, Semin Lee, Woong-Yang Park, Peter J Park, Peter V Kharchenko. Linking transcriptional and genetic tumor heterogeneity through allele analysis of single-cell RNA-seq data. Wellcome Genome Campus, Single Cell Genomics Conference, 2016 (Poster)
  • Jean Fan. Applying single cell transcriptomics - unraveling the complexity of the developing human brain. Festival of Genomics, Single Cell Genomics, 2016 (Talk)
  • Jean Fan. Do art like a science. Do science like an art. TEDxJHU, Instructions Not Included, 2016 (Talk)
  • Jean Fan, Lili Wang, Angela N Brooks, Youzhong Wan, Donna Neuberg, Laura Z Rassenti, Emanuela M Ghia, Thomas J Kipps, Jennifer R Brown, Shuqiang Li, Kenneth J Livak, Matthew M Meyerson, Peter V Kharchenko, Catherine J Wu. 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)
  • Jean Fan, Neeraj Salathia, Rui Liu, Gwendolyn E Kaeser, Yun C Yung, Joseph L Herman, Fiona Kaper, Jian-Bing Fan, Kun Zhang, Jerold Chun, Peter V Kharchenko. PAGODA - Pathway and gene set overdispersion analysis characterizes single cell transcriptional heterogeneity. Cold Spring Harbor. Single Cell Analysis Meeting, 2015 (Talk)
  • Jean Fan, Hae-Ock Lee*, Soohyun Lee, Semin Lee, Woong-Yang Park, Peter J Park, Peter V Kharchenko. Hierarchical Bayesian Approach for CNV Detection from Single Cell RNA-seq Data. National Institutes of Health, Single Cell Investigators Meeting, 2015 (Poster)
  • Jean Fan, Neeraj Salathia, Rui Liu, Gwendolyn E Kaeser, Yun C Yung, Joseph L Herman, Fiona Kaper, Jian-Bing Fan, Kun Zhang, Jerold Chun, Peter V Kharchenko. Single Cell Dierential Expression Identies Neural Progenitor Subpopulations in the Developing Mouse Brain. National Institutes of Health, Single Cell Investigators Meeting, 2014 (Poster)
  • Jean Fan, Rachel Karchin. 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)

VIDEOS (Youtube)