Computational Biology Seminar

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.

Fall 2019 Schedule

Time: 11:30am - 12:30pm
Place: 4233 French

DateSpeakerInstitutionHostPresentation Title
9/9/19No Seminar
9/16/19Valerie DaggetUniversity of Washington, Department of BioengineeringMelyssa MintoDynameomics: From Simulation of All Protein Folds to the Design of Amyloid Inhibitors and Diagnostics
9/23/19Jeffrey GrayJohn Hopkins University, Department of Chemical and Biomolecular EngineeringPatrick CharbonneauPrediction of Protein-Protein Complex Structures and Protein Crystal Design
9/30/19 Rafael IrizarryHarvard University, Dana Farber Cancer Institute, Department of Data SciencesHarshit SahayStatistical Approaches for Single Cell Technologies
10/7/19No Seminar
10/14/19David GiffordMIT,  Department of Computer Science and Biological EngineeringAlex HarteminkMachine Learning Based Therapeutic Design
10/21/19Lorin CrawfordBrown University, Department of BiostatisticsMelyssa MintoDeep Learning Methods for Fine Mapping and Discovery in Genomic Association
10/28/19Mona SinghPrinceton University, Department of Computer ScienceAlejandro Ochoa"Integrative Methods for deciphering disease networks"
Jané Kondev
Brandeis University, Department of PhysicsDanny LewHow Cell Measure Length
11/11/19Haiyan HuangBerkeley, Department of StatisticsJichun XieGeneFishing: a method to reconstruct context-specific portraits of biological processes and its application to cholesterol metabolism
11/18/19Tony CapraVanderbilt University, Department of Biological SciencesGreg WrayDiagnosing the Legacy of Neanderthal Interbreeding on Modern Humans
11/25/19Christina WilliamsVA Cooperative Studies Program Epidemiology Center, Durham VA Healthcare System, Deputy DirectorBeth HauserTBA
12/9/19Oleg IgoshinRice University,  Department of BioengineeringLingchong YouDesign principles of cellular differentiation control: lessons from Bacillus subtilis