Frontiers in Computational Biosciences Seminar Series: Carl Veller, PhD, Assistant Professor of Ecology & Evolution – University of Chicago
Boyer Hall 159TITLE: "Chromosome-scale drift under stabilizing selection, with evolutionary implications"
Events for April 28 - February 24
8 events found.
Research Seminars
Frontiers in Computational Biosciences Seminar Series: Lixing Yang, PhD, Assistant Professor of Ben May Department of Cancer Research – University of Chicago
Boyer Hall 159TITLE: "The Causes and Consequences of Somatic Structural Variations in Human Cancer"
Frontiers in Computational Biosciences Seminar Series: Genevieve Konopka, PhD, Professor & Chair, Department of Neurobiology, UCLA David Geffen School of Medicine
Boyer 159 611 Charles E. Young Dr. E., Los Angeles, CA, United StatesTITLE: "Cell type-specific transcriptional networks in brain evolution and disease"
Frontiers in Computational Biosciences Seminar Series: Yuzhe Yang, PhD, Assistant Professor, Computational Medicine & Computer Science, UCLA
ZOOM CA, United StatesTITLE: "Multisensory AI for Personalized Healthcare"
Frontiers in Computational Biosciences Seminar Series: Amy Goldberg, PhD, Associate Professor, Human Genetics, UCLA
Boyer Hall 159TITLE: "Evolutionary perspectives on malaria"
Frontiers in Computational Biosciences Seminar Series: Jian Zeng, PhD, Group Leader – Centre for Population and Disease Genomics – Institute for Molecular Bioscience The University of Queensland – Australia
ZOOM CA, United StatesTITLE: “Leveraging functional annotations to enhance trait prediction and biological discovery”
Frontiers in Computational Biosciences Seminar Series: Kalli Kappel, PhD, Assistant Professor, Department of Chemistry & Biochemistry, UCLA
Boyer 159 611 Charles E. Young Dr. E., Los Angeles, CA, United StatesTITLE: "TBD"
Frontiers in Computational Biosciences Seminar Series: Yi Zhang, PhD, Assistant Professor of Ecology & Evolution, University of Chicago
Boyer 159 611 Charles E. Young Dr. E., Los Angeles, CA, United StatesTITLE: "Interpretable machine learning methods to understand tissue heterogeneity using large-scale single-cell genomics and high-definition spatial transcriptomics”
