Computational & Systems Biology
Distinguished Seminar Series

Cellular and Systems Biology, Computational Genomics and Bioinformatics, Molecular and Structural Biology, Pharmacology and Drug Design

About Us

Cellular and Systems Biology | Computational Genomics and Bioinformatics | Molecular and Structural Biology | Pharmacology and Drug Design

Increasingly complex biological problems and extremely large biological data sets have necessitated new approaches to answer many of today's current research challenges and tackle emerging questions in biology not amenable to traditional approaches.

As one of the fields in the "New Biologies", Computational and Systems Biology (CSB) encompasses an interdisciplinary approach that harnesses the power of computation and systems-level analyses to formulate and solve critical biological problems. These research programs within CSB also synergize and collaborate with the extensive basic and clinical research programs at the University of Pittsburgh and across the globe.

This seminar series brings together researchers from across the country to discuss their research within our field.

2021 Series

Tuesdays, 4:00 - 5:00 PM Eastern Time (unless otherwise noted) via virtual Zoom session. For Zoom links, please see our department calendar.

Liu

Silvia (Shuchang) Liu, Ph.D.

University of Pittsburgh

Tuesday, February 23  

Assistant Professor, Department of Pathology

“Fusion transcripts: detection and association with cancer samples”
Pell

Richard Pell

Carnegie Mellon Univeristy

Tuesday, October 26

Associate Professor of Art

The Elephant in the Anthropocene: Cataloging PostNatural History

Past Distinguished Seminars

Rong Li, Ph.D.

Bloomberg Distinguished Professor of Cell Biology
Johns Hopkins University
"A numbers game: how aneuploidy affects cellular physiology and adaptation to stress"

Shaun Mahony, Ph.D.

Assistant Professor, Biochemistry & Molecular Biology
Penn State University
"Understanding transcription factor binding specificity during cell fate decisions"

Meredith Betterton, Ph.D.

Professor of Physics
University of Colorado Boulder
"Modeling chromosome alignment and spindle assembly in mitosis"

Tamar Schlick, Ph.D.

Professor of Chemistry, Mathematics and Computer Science
New York University
"Folding genes at mesoscale resolution"

Tom Misteli, Ph.D.

Director, Center for Cancer Research, Laboratory of Receptor Biology and Gene Expression, NIH Distinguished Investigator, Head, Cell Biology of Genomes Group
Center for Cancer Research
"Mapping Genomes in Space and Time"

Gisela Storz, Ph.D.

NIH Distinguished Investigator, Section on Environmental Gene Regulation
National Institutes of Health
"Genes within genes"

Alexander Hoffmann, Ph.D.

Professor, Institute for Quantitative and Computational Biosciences, and the Department of Microbiology and Immunology
UCLA, Molecular Biology Institute
"Predicting cell fate decisions and immune responses - knowledge-based & data-driven models"

Bing Ren, Ph.D.

Professor of Cellular and Molecular Medicine, Ludwig Institute for Cancer Research
UC San Diego, School of Medicine
"Organization of the Living Genome"

Luhua Lai, Ph.D.

Professor, College of Chemistry and Molecular Engineering
Deputy Director, Center for Quantitative Biology
Director, the State Key Laboratory for Structural Chemistry of Unstable and Stable Species
Peking University, College of Chemistry and Molecular Engineering
"From Structure Based to Systems Based Drug Design"

John Rinn, Ph.D.

Professor, Leslie Orgel Professor of RNA Science
Marvin H. Caruthers Endowed Chair for Early-Career Faculty Biochemistry
University of Colorado
"RNA & Chromatin: It's Complicated"

Herbert Levine, Ph.D.

Distinguished Professor, Physics
Distinguished Professor, Bioengineering
Northeastern University
"Can Physics Help Us Understand Cancer Metastasis?"

Michael Levine, Ph.D.

Professor of Molecular Biology and the Lewis-Sigler Institute for Integrative Genomics Director, Lewis-Sigler Institute for Integrative Genomics
Princeton University
"Visualization of Enhancer-Promoter Communication in Living Drosophila Embryos"

Edward Marcotte, Ph.D.

Professor, Department of Molecular Biosciences
University of Texas
"Evolution and the proteome: Insights into human disease from deeply conserved protein complexes"

Robert Jernigan, Ph.D.

Professor of Biochemistry, Biophysics and Molecular Biology
Iowa State University
"Improving Protein Sequence Matching to Aid Genome-Based Medicine"

Mark L. Siegal, Ph.D.

Associate Professor of Biology, Director of Undergraduate Studies
New York University
"Mechanisms controlling variation in complex traits"

Reka Albert, Ph. D.

Distinguished Professor of Physics and Biology
Pennsylvania State University
"Modeling the dynamic repertoire of within-cell networks reveals structure - function connections"

James E. Ferrell, M.D., Ph.D.

Professor of Chemical and Systems Biology, Professor of Biochemistry, and Co-Director of the Stanford Center for Systems Biology
Stanford University School of Medicine
"Triggering Waves in Cell Signaling"

José Onuchic, Ph.D.

Professor of Chemistry; Professor of Biosciences
Rice University
"Developing Models for Chromatin Folding"

H. Steven Wiley, Ph.D.

Director, Biomolecular Systems
Pacific Northwest National Laboratory
"Quantitative proteomics as a foundationa for building models of signaling networks"

Arthur Lander, M.D., Ph.D.

Donald Bren Professor of Developmental and Cell Biology
University of California, Irvine
"Understanding Growth Control"

Sudhir Kumar, Ph.D.

Carnell Professor, Biology
Temple University
"Molecular Evolution informs Genome Medicine"

Nevan Krogan, Ph.D.

Department of Cellular and Molecular Pharmacology, University of California San Francisco (UCSF)
"Title"

John Reinitz, Ph.D.

Professor: Departments of Statistics, Ecology & Evolution, and Molecular Genetics & Cell Biology, and the College, University of Chicago
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Cecilia Lo, Ph.D.

Professor and F. Sargent Cheever Chair, Developmental Biology, University of Pittsburgh
"Insights into the genetic landscape of congenital heart disease with a systems genetic approach"