CBB Seminars

The Computational Biology Seminar is a weekly series of seminars on topics in computational biology presented by invited speakers, Duke faculty, and CBB doctoral and certificate graduate students.

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Spring 2024 Schedule

Time: 12:00 - 1:00 pm
Place: 4233 French Family Science Center

Date Speaker Institution Host Presentation Title
Jan. 22 Josh Granek Duke University Kuei-Yueh Ko

The Microbes Less Traveled: Genomic Technologies for Non-Model Microbes

Jan. 29 Ziv Bar-Joseph CMU Nhat Duong AI / ML in big pharma – omics, molecular design and clinical data analysis
Feb. 5 Fran Supek IRB Barcelona Hana Wasserman Distribution of Mutation Risk Across the Human Genome
Feb. 19 Yi Zhang Duke University Changxin Wan Data-driven understanding of the single-cell space in tumor microenvironment
Feb. 26 Anne-Frances Miller University of Kentucky Niven Singh Quantum Computational Insights Into the Chemical Versatility and Spectral Signatures of Flavins
March 4 Matt Engelhard TBD Duke Methods for Long-Horizon Event Prediction from Electronic Health Record Data
March 18 Hae Kyung Im U Chicago Kalyani Kottilil Incorporating deep learning methods to complex trait genetics
March 25 Jessica Li UCLA Kevin Moyung Enhancing Statistical Rigor in Single-Cell and Spatial Omics Data analysis Using Synthetic Negative Controls
April 1 Britt Adamson Princeton Shengyu Li Mapping the Cellular Determinants of Genome Editing in Human Cells
April 8 Kevin Lin UW Anru Zhang Single-cell paired RNA & ATAC: Surveying broad multi-modal coordination in development and cancer resistance
April 15 Liana Lareau Berkeley Stephanie Hoyt Engineering poison exons to treat Huntington’s disease


Fall 2023 Schedule

Time: 12:00 - 1:00 pm
Place: 4233 French Family Science Center

Date Speaker Institution Host Presentation Title
Aug. 28 Rohit Singh Duke University Raluca Gordan Machine Learning for Precise Diagnostics and Therapeutics
Sept. 11 Hannah Carter University of California San Diego Shengyu Li Common Variants Influence Immunotherapy Response
Sept. 18 Gilad D. Evrony NYU Harshit Sahay High-fidelity DNA sequencing of the single-strand origins of mutations
Sept. 25 Jeff Headd Janssen Pharmaceutical Companies of Johnson & Johnson Danting Jiang Driving Impact in Healthcare through Data Science at Scale
Oct. 2 Mustafa Khasraw, MD Duke University Jichun Xie Longitudinal Bioinformatics Analysis to Correct the Drug Development Paradigm in Oncology
Oct. 9 Omer Bayraktar Wellcome Trust Sanger Institute Odmaa Bayarra Mapping the Rules of Glioblastoma using Single Cell and Spatial Genomics
Oct. 23 Ferhat Ay La Jolla Institute Raluca Gordan Computational Methods for Studying the 3D Organization of the Human Genome 
Oct. 30 Teresa M. Przytycka NIH Andrew Soborowski Computational approaches to delineate interactions between mutagenic signatures, cellular processes, and environment
Nov. 6 Cole Trapnell University of Washington Miko Liu Embryo-Scale Reverse Genetics at Single-Cell Resolution
Nov. 13 Amy Gladfelter Duke University TBD Encoding Physical Properties of the Cytosol
Nov. 20 Geoff Schiebinger University of British Columbia Sarah Van Dierdonck Towards a Mathematical Theory of Development
Nov. 27

Hamish King

Note different time: virtual only @ 3:00pm

Walter and Eliza Hall Institute, Melbourne Cymfenee Dean-Phifer Single-cell genomics to predict the cellular etiology of autoimmune risk loci

Previous Seminars

Spring 2023 Schedule

Time: 12:00 - 1:00 pm
Place: 4233 French Family Science Center

Date Speaker Institution Host Presentation Title
Jan. 30 Annis Richardson University of Edinburgh Sarah Van Dierdonck How Do Grasses Grow?
Feb. 6 Carl de Boer University of British Columbia Cymfenee Dean-Phifer Biochemical activity is the default DNA state in eukaryotes
Feb. 20 Alex Rubinsteyn University of North Carolina Jameson Blount Towards neoantigen targeting personalized cancer immunotherapies which actually work
Feb. 27 Kelly Ruggles New York University Yiling Liu Using computational multiomics to inform cardiovascular disease, cancer and autoimmunity
March 6 Andrew Allen Duke University Scarlett Zou Using CRISPR to identify genomic regions that control gene expression
March 20 Sushmita Roy University of Wisconsin - Madison Shengyu Li Deciphering Gene Regulatory Networks Of Cell Fate Specification From Bulk And Single Cell Omic Data
March 27 Jason Yang Rutgers University Amy Schmid Systems Biology Insights Into Antimicrobial Resistance Evolution and Physiology
April 3 Quaid Morris Memorial Sloan Kettering Cancer Center Hana Wasserman RBPzoo: The Motifs, Binding Interface and Evolution History of 30,000 Eukaryotic RNA-binding Proteins (RBPs)
April 10 Anoop Patel Duke University Miko Liu Multiomic characterization of cell state heterogeneity in human brain tumors
April 17 Sean Gibbons Institute for Systems Biology Ben Neubert Community-scale metabolic modeling enables precision microbiome engineering

Time: 12:00 - 1:00 pm
Place: 4233 French Family Science Center

Date Speaker Institution Host Presentation Title
Sept. 12 Anru Zhang Duke University Raluca Gordân Tensor Learning in 2020s: Methodology, Theory, and Biomedical Applications
Sept. 19 David Carlson Duke University Raluca Gordân Learning Electrical Connectomes of Neuropsychiatric Disorders and Behaviors
Sept. 26 Nathan Sheffield University of Virginia Kevin Moyung Making sense of non-coding genomic intervals 
Oct. 10 Jian Shu Harvard University  Susan Liu Decoding cell fates through single-cell genomics and imaging
Oct. 17 Mark Ryser Duke University Raluca Gordân Growth Dynamics of Ductal Carcinoma in Situ Recapitulate Normal Breast Development 
Nov. 7 Jamie Oaks Adaptive Biotech/Auburn University Devang Thakkar Generalizing phylogenetics to infer patterns predicted by processes of diversification
Nov. 14 Golnaz Vahedi University of Pennsylvania Devang Thakkar A multi-enhancer hub at the Ets1 locus endows competence for T cell differentiation 
Nov. 21 Didong Li University of North Carolina Susan Liu Interpretable Gaussian process models for genomic data 
Nov. 28 Joe Volpe LabCorp Harshit Sahay A Different Track: Being a Scientist in Industry 
Dec. 5 Pranam Chatterjee Duke University Harshit Sahay Towards Programmable Genome, Proteome, and Cell Engineering