Seminar Series 2020-2021

Past seminar series

2020-2021 Seminar Series Schedule

All talks will be from 12:00-1:00pm unless otherwise noted.

All CMU seminars are virtual

All PITT seminars are virtual


Date Speaker Host Title
 September 4, 2020 Debbie Winter
Northwestern University
Andreas Pfenning (CMU)  “Modelling the Gene Regulatory Networks of Microglia and Other Macrophages in Health and Disease.”
 September 11, 2020
Pitt SVC Seminar (optional)
Registration Required:
Maria Chikina
University of Pittsburgh
University of Pittsburgh  “Finding Concise Descriptors in Genomic Data”
 September 18, 2020 Judy Day
University of Tennessee, Knoxville
Yoram Vodovotz (Pitt)  “Insights from mathematical modeling of inflammation: from sepsis to COVID-19″
 September 25, 2020 Denise Okafor
Pennsylvania State University
Omer Acar (Pitt)  “Ligand interactions that determine transcriptional outcomes”
 October 2, 2020 Julia Mahamid Min Xu (CMU)  “Molecular views into cellular functions by in-cell cryo-electron tomography.”
 October 9, 2020 Tongli Zhang
University of Cincinnati
Jianhua Xing (Pitt)  “Integrating mechanistic modeling and machine learning to understand complex biological systems with ‘small data’”
 October 16, 2020 No Seminar (no classes, CMU)
 October 23, 2020 No Seminar 
 October 30, 2020 Daisuke Kihara Min Xu (CMU)  “Protein 3D structure modeling for medium-resolution cryo-EM density maps”
 November 6, 2020 Aaron Streets
UC Berkeley
James Faeder (Pitt)  “Imaging and sequencing single cells – microfluidics for multi-modal single-cell analysis”
 November 13, 2020 Jessica Gibson
Ariel Precision Medicine
Joseph Ayoob / James Faeder (Pitt)  “Challenges and Opportunities for Modeling Complex Systems in a Clinical Product”
 November 20, 2020 Donald Hamelberg
Georgia State University
Ivet Bahar (Pitt)  “Perturbing the Conformational Ensemble to Understand and Tune Protein Function”
 November 27, 2020 No Seminar (Thanksgiving Break)
 December 4, 2020 Kevin Janes
University of Virginia
 Rachel Gottschalk (Pitt)  “Complete kinetic modeling of an RNA pathogen”
 December 11, 2020 No Seminar (no classes, PITT)
 December 18, 2020 No Seminar (Winter Break)
 December 25, 2020 No Seminar (Winter Break)
 January 1, 2021 No Seminar (Winter Break)
 January 8, 2021 No Seminar (Winter break)
 January 15, 2021 No Seminar (Winter break)
 January 22, 2021 No Seminar (No classes, CMU)
 January 29, 2021 No Seminar (No classes, CMU)
 February 5, 2021 Chaitanya Gokhale
Max Planck Institute for Evolutionary Biology 
Oana Carja (CMU) Eco-evolutionary dynamics | from cells to societies”
 February 12, 2021 David Van Valen
California Institute of Technology
Jianhua Xing (Pitt)  “Single-cell biology in a software 2.0 world”
 February 19, 2021 No Seminar (Open House)
 February 26, 2021 No Seminar
 March 5, 2021 Tae Hyun Hwang
Cleveland Clinic
Russell Schwartz (CMU) “Spatial transcriptome, single cell and digital pathology approaches to understand mechanisms of response and resistance to Immunotherapy and cell therapy: Opportunities and challenges for machine learning and AI scientists”
 March 12, 2021 Tzviya Zeev Ben Mordehai
University of Oxford
Min Xu (CMU) “The remarkable multi-scale architecture of mammalian sperm and implications for motility”
 March 19, 2021 No Seminar (No classes, CMU)
 March 26, 2021 Claudia Bank
Gulbenkian Institute & Universität Bern
Oana Carja (CMU) “Fitness landscapes and the predictability of evolution”
 April 2, 2021 Shilpa Garg
University of Copenhagen
Min Xiu (CMU) Efficient, high-resolution bioinformatic approaches for integrative sequencing analysis of complex diseases
 April 9, 2021 Sandra Safo
University of Minnesota
Omer Acar (Pitt) SIDA and SIDANet: New Discriminant Analysis Methods for Multi-class, Multi-view Structured Data
 April 16, 2021 No Seminar (no classes, CMU) 
 April 23, 2021 John Hogenesch
Cincinnati Children’s Hospital Medical Center
Bokai Zhu (Pitt) Computational problems in circadian biology
 April 30, 2021 Aly Azeem Khan
Toyota Technological Institute at Chicago
Hatice Osmanbeyoglu (Pitt) New computational approaches to understand immune function