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 2020 SCHEDULE

Time: 12p-1:00p
Place:  All fall 2020 seminars will be remote: Zoom ID-939-6480-6446

Date Speaker Institution Host Presentation Title
9/14 Manuel Rivas Stanford University Alejandro Ochoa "Generating effective therapeutic hypotheses from human genetic data"
9/21 David Page Duke University Scott Schmidler Computational Methods for Genotype-Phenotype Associations from Electronic Health Records
9/28 Possu Huang Stanford Niven Singh Protein Design in the Deep Learning Era
10/5 Nuria Lopez-Bigas IRB Barcelona Raluca Gordan Computational analysis of Cancer Genomes
10/12 Su-In Lee University of Washington Miko Liu Explainable Artificial Intelligence for Biology and Health
10/19 Stacey Finley USC- Viterbi Rachel Kositsky Predicting the effects of engineering immune cells using system biology models
10/26 James Lloyd Smith UCLA Amy Goldberg "From SARS to COVID-19 and beyond: unpacking the drivers of emerging viral zoonoses"
11/2 Gurol M. Suel UC San Diego Lingchong You "The role of inorganic ions in bacterial resilience"
11/9 Bill Majoros Duke University TBD Probabilistic Graphical Models for Genetic and Genomic Data
11/16 Olivier Elemento Weill Cornell Miko Liu Towards AI driven precision medicine