- Oleg Igoshin, Rice University
- Herbert Levine, Rice University
- Lingchong You (Chair), Duke - 2019, [Email]
- David Schwab (Outgoing Chair), Northwestern - 2018
- Anne-Florence Bitbol, CNRS/UPMC - 2019
- Alejandro Colman-Lerner (2018), U. Buenos-Aires - 2018
- Michael Deem, Rice - 2019
- Jeff Gore, MIT - 2018
- Sidhartha Goyal, U. Toronto - 2018
- Elena Koslover, UCSD - 2019
- Robin Lee, U. Pittsburgh - 2019
- Carlos Lopez, Vanderbilt - 2018
- Alexandre Morozov, Rutgers University - 2019
- Chris Rao, UIUC - 2019
- Doug Shepherd, U. Colorado-Denver - 2019
- Wenying Shou, Fred Hutch - 2019
- Mara Steinkamp, U. New Mexico - 2019
- Eduardo Sontag, Rutgers University - 2019
- Yi Jiang (Chair), Georgia State University, [Email]
- Jim Faeder, University of Pittsburgh
- S. Gnanakaran, Los Alamos National Laboratory
- William Scott Hlavacek, Los Alamos National Laboratory
- Alexandre Morozov, Rutgers University
- Brian Munsky, Colorado State University
- Ilya Nemenman, Emory University
- Erin C. Rericha, Vanderbilt University
- Orna Resnekov, Molecular Sciences Institute
- David Schwab, Northwestern University
- Aleksandra Walczak, Ecole Normale Superieur
About Yi Jiang
About Jim Faeder
James R. Faeder is Associate Professor of Computational and Systems Biology at the University of Pittsburgh School of Medicine and Co-Director of the Join Carnegie Mellon--University of Pittsburgh PhD Program in Computational Biology. His research focuses on computational modeling of cell regulatory networks, combining development of novel methodologies with applications to specific systems of biological and biomedical relevance, including the immune system and cancer. For more see https://www.csb.pitt.edu/Faculty/Faeder/.
About S. Gnanakaran
About Bill Hlavacek
About Brian Munsky
Dr. Munsky joined the Department of Chemical and Biological Engineering and the School of Biomedical Engineering as an assistant professor in January of 2014. He received B.S. and M.S. degrees in Aerospace Engineering from the Pennsylvania State University in 2000 and 2002, respectively, and his Ph.D. in Mechanical Engineering from the University of California at Santa Barbara in 2008. Following his graduate studies, Dr. Munsky worked at the Los Alamos National Laboratory — as a Director’s Postdoctoral Fellow (2008-2010), as a Richard P. Feynman Distinguished Postdoctoral Fellow in Theory and Computing (2010-2013), and as a Staff Scientist (2013). Dr. Munsky is best known for his discovery of Finite State Projection algorithm, which has enabled the efficient study of probability distribution dynamics for stochastic gene regulatory networks. Dr. Munsky’s research interests at CSU are in the integration of stochastic models with single-cell experiments to identify predictive models of gene regulatory systems. He was the recipient of the 2008 UCSB Department of Mechanical Engineering best Ph.D. Dissertation award, the 2010 Leon Heller Postdoctoral Publication Prize and the 2012 LANL Postdoc Distinguished Performance Award for his work in this topic. Dr. Munsky is the contact organizer of the internationally recognized, NIH-funded q-bio summer school, where he runs single-cell stochastic gene regulation (q-bio.org). Dr. Munsky is very excited about the future of quantitative biology, and he would love to talk about this with you!
About Ilya Nemenman
Ilya Nemenman has received his PhD in Physics from Princeton. He did additional training at UCSB and Columbia University. After working as a Technical Staff Member at Los Alamos National Laboratory, he moved to Emory University, where he is currently the Winship Distinguished Research Professor of Physics and Biology. He has served as the Chair of the Division of Biological Physics of the American Physical Society and was a founding organizer of the q-bio Conference and Summer School. His group works on information processing in biological systems across different scales.
About Erin Rericha
About Orna Resnekov
About David Schwab
About Aleksandra Walczak
Aleksandra Walczak received her PhD in physics at the University of California, San Diego, working on models of stochastic gene expression. After a graduate fellowship at KITP, she was a Princeton Center for Theoretical Science Fellow, focusing on applying information theory to signal processing in small gene regulatory networks. Currently she is a CNRS research director at the Ecole Normale Superieure in Paris, interested in the effects of selection on population genealogies, collective behavior of bird flocks and statistical descriptions of the immune system.
About Alexandre Morozov
About Douglas Shepherd
Dr. Shepherd is an Assistant Professor in the Departments of Physics and Pediatrics at the University of Colorado Denver. He received his B.S. in Physics from University of California Santa Barbara in 2003 and his Ph.D. in Physics from Colorado State University in 2011. He was a postdoctoral scholar at Los Alamos National Laboratory from 2011-2013 in the Center for Integrated Nanotechnologies and Center for Nonlinear Studies. His interests are in developing and applying new fluorescent microscopy techniques, data processing algorithms, and statistical modeling tools to study single-cell heterogeneity in cellular decision-making processes. He has been involved in the q-Bio Summer School since 2011, including starting the Membrane Dynamics track and serving as co-organizer for the Single Cell Gene Regulation track.
About Mara Steinkamp
My research interests lie in understanding how complex ErbB receptor interactions promote cell growth and survival in cancer. Since ErbB receptors are frequently expressed in ovarian cancer, we are testing the efficacy of anti-ErbB therapies for ovarian cancer treatment. Successful collaborations with clinicians and mathematical modelers through the UNM Spatiotemporal Modeling Center have been instrumental to my research. Modeling of ErbB receptor interactions on the cell membrane using a spatial stochastic model has revealed how heterodimerization influences activation of Erbb2 and ErbB3. 3D ovarian cancer spheroid simulations have been used to optimize drug delivery to peritoneal ovarian tumors. These interdisciplinary teams energize our preclinical studies by deepening our understanding of ovarian cancer metastatic spread and informs our search for novel treatments against this disease.
About Herbert Levine
About Michael Deem
Deem has developed methods to quantify vaccine effectiveness and antigenic distance for influenza, methods to sculpt the immune system to mitigate immunodominance in dengue fever, a physical theory of the competition that allows HIV to escape from the immune system, the first exact solution of a mathematical model of evolution that accounts for cross-species genetic exchange, a hierarchical approach to protein molecular evolution, a 'thermodynamic'formulation of evolution, and a theory for how biological modularity spontaneously arises in an evolving system. The adaptive immune response to viruses and vaccines is studied with a variety of random energy models. Field theories are used to analyze physical theories of evolution.
About Robin Lee
Robin E. C. Lee is an Assistant Professor of Computational and Systems Biology at the University of Pittsburgh School of Medicine. His lab uses live-cell imaging, microfluidics and mathematical models to study how cells use networks of interacting molecules to process information and make cell fate decisions. Other areas of research include computer vision, parameter estimation, and transcriptional regulation.
About Anne-Florence Bitbol
I am a theorist broadly interested in quantitative biology and biophysics. I hold a CNRS Researcher position at Université Pierre et Marie Curie (UPMC) in Paris. I am currently mainly working on inferring protein-protein interactions from sequence data, and on modeling the evolution of antibiotic resistance. Previously, I was a postdoc in the Biophysics Theory group at Princeton University, where I worked on multi-protein complexes, and on evolution in rugged fitness landscapes. For my PhD, at Universite Paris-Diderot, I studied the statistics and dynamics of complex membranes.
About Wenying Shou
Wenying Shou's group aims to quantitatively understand evolutionary and ecological processes in multi-species microbial communities, combining experiments with mathematical models.
About Sidhartha Goyal
Sidhartha Goyal got his PhD in Physics at Princeton in 2009 and then moved to KITP, UC Santa Barbara for a postdoc, he got his first degree in Electrical Engineering from IIT Bombay. Since 2014, he is an Assistant Professor in the Physics Department at University of Toronto’s downtown (St. George) campus working on understanding dynamics of large heterogenous populations from microbes to stem cells.