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.

TALKS AND PRESENTATIONS

  • Jean Fan. Computational Methods for Analyzing Spatial Transcriptomic Data. Worcester Polytechnic Institute Bioinformatics and Computational Biology Research Seminar series. Nov 2021. (talk)
  • Jean Fan. Computational Approaches for Spatial Transcriptomic Data Analysis. Cold Spring Harbor Single Cell Analysis. Nov 2021.(talk)
  • Lyla Atta, Arpan Sahoo, Jean Fan. VeloViz: RNA-velocity informed embeddings for visualizing cellular trajectories. Cold Spring Harbor Single Cell Analysis. Nov 2021. (Lightning Talk)
  • Lyla Atta, Arpan Sahoo, Jean Fan. VeloViz: RNA-velocity informed embeddings for visualizing cellular trajectories. JHU Symposium on Genomics and Bioinformatics. Oct 2021. (Poster)
  • Jean Fan. Computational Tools for Spatially Resolved Transcriptomic Data Analysis. C3 Single Cell Space Force seminar series. SBP Medical Discovery Institute. Oct 2021. (Talk)
  • Jean Fan. Computational Tools for Spatially Resolved Transcriptomic Data Analysis. Next Generation Genomics. Sept 2021. (Talk)
  • 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)