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.

Spring 2022 SCHEDULE

Time: 12 - 1 P.M.
Place:  All spring 2022 seminars will be remote via Zoom
Meeting ID: 
955 2998 5541; Passcode: 836654
Contact: Tasha Allison 

Date Speaker Institution Host Presentation Title
January 24 Iman Hajirasouliha  Cornell University Scarlett Zou Algorithms for single-cell tumor phylogeny inference and deep learning imaging models for tumor purity estimation
January 31 Catherine Tcheandjieu Stanford University Melyssa Minto The Benefit of Diverse Populations for Genetic Discovery in Coronary Artery Disease
February 7
February 14
February 21
February 28
March 14 Sarel Fleishmann Weizmann Institute Harshit Sahay Evolutionarily feasible paths linking two ultrahigh specificity binding pairs revealed by protein design
March 21 Stephen Williams 10x Genomics Devang Thakkar Unraveling the tumor microenvironment using spatial transcriptomics
March 28 Amy Keating MIT Harshit Sahay Navigating landscapes of protein interaction specificity using data-driven models
April 4 Justin Kinney Cold Springs Harbor Laboratory Kim Roche Massively parallel reporter assays, machine learning, and the biophysics of gene regulation
April 11 Jichun Xie

Duke University

An accurate and robust method to annotate cell types and their structures
April 18 Van Savage  UCLA Amy Goldberg The Complexity-Stability Continuum: Calculating collapse and impacts of consumption constraints, body size, and charging temperature
April 25 Stirling Churchman Harvard University TBA