2023 QSP Symposium

Presentation title: A Systems Approach to Understand Variability in Antibody-Fc Receptor Interactions after Vaccination

Dr. Kelly Arnold is an Associate Professor in Biomedical Engineering at the University of Michigan. Her research is focused on using quantitative approaches to gain new insight into the microbiome and the immune response to infection, vaccination, and injury. 

Presentation title: Hacking Biology’s Regulatory Programming to Drive Targeted Drug Repurposing

An engineer by training, Dr. Broderick holds a doctorate in chemical engineering from the University of Montreal as well as a Master’s in chemical engineering and an undergraduate in mechanical engineering both from McGill University. He received post-doctoral training in cancer genomics at McGill’s School of Computer Science, and computational biochemistry at the University of Alberta. His current research examines immune and endocrine dysfunction from an integrated systems perspective. His group applies information and dynamic systems theory to tap into the neuro-endocrine immune communication highway in order to decipher and redirect pathogenic conversations with well-chosen and well-timed pharmaceutical messages. His work is funded under awards from the U.S. Department of Defense, the Department of Veterans Affairs and the National Institutes of Health (NIH).

Presentation title: Computational Modeling to Solve the Mystery of Complex Biological Functions and Regulations

Dr. Dash is a Professor of Biomedical Engineering (BME) and Physiology at the Medical College of Wisconsin (MCW) and Co-director of the Joint MCW and Marquette University BME Graduate Program. His lab uses combined computational modeling and experimental techniques to study gene regulatory networks, mitochondrial and cellular metabolic functions in different tissues under normal and disease conditions. In addition, his lab works on physiologically-based pharmacokinetic and pharmacodynamic modeling of drugs to characterize important molecular targets indicative of tissue/organ viability and injury.

Presentation title: Leveraging Immune-Immune Interactions In The Tumor Microenvironment In Rational Design Of Cancer Therapies

Dr. Dolatshahi is an assistant professor of Biomedical Engineering at the University of Virginia (UVA), a core member of UVA Cancer Center, and a member of the Carter Immunology Center. Her Systems Immunology lab at UVA combines multiplex experimental measurements with computational modeling (including statistical machine learning, network inference, information theory, signal processing and kinetic-dynamic modeling) to solve problems in the context of cancer, infectious diseases, and neonatal-maternal immunology.

Presentation title: Guiding Model-Driven Combination Dose Selection Using Multi-Objective Synergy Optimization

Dr. Jana Gevertz is a professor in the Department of Mathematics and Statistics at The College of New Jersey who works on data-driven modeling of cancer treatment. She is the recipient of multiple teaching awards and has served as the research mentor for over twenty undergraduate students. She is currently the treasurer of the Society for Mathematical Biology, and a visiting scientist at Merck Serono's Translational Quantitative Pharmacology group.

Presentation title: From data to knowledge in network-driven cellular processes

Dr. Carlos F. Lopez received his BSc and BLA degrees from University of Miami, his PhD in Physical Chemistry from University of Pennsylvania, has a postdoctoral position at UT-Austin, and was the HW Pierce/King Trust Research Fellow at Harvard Medical School. Dr. Lopez has received multiple prestigious appointments and awards, including serving as the Vanderbilt University-Oak Ridge National Lab Liaison (2017-2019) and recently attaining an NSF CAREER Award (2019). His work employs novel theoretical, computational and modeling approaches, in combination with experimental data, to explain and predict cellular dynamic processes across multiple scales. 

Presentation title: Predicting Function Of Microbial Communities For Therapeutic Benefit

Dr. Papin is the Harrison Distinguished Teaching Professor of Biomedical Engineering at the University of Virginia.  His lab works on problems in systems biology, metabolic network analysis, infectious disease, toxicology, and cancer, developing computational approaches for integrating high-throughput data into predictive computational models. Jason also serves as co-Editor-in-Chief of PLOS Computational Biology