2017 Macklin Lab speaking schedule
Members of Paul Macklin’s lab are speaking at the following events:
- Feb. 28, 2017: Paul Macklin, at the NCI PSON-CSBC Mathematical Oncology Meeting
- Open source tools and resources for reproducible 3-D multicellular cancer systems biology
- Mar. 3, 2017: Edwin F. Jarez, at the USC Department of Electrical Engineering
- PhD Dissertation defense
- Mar. 17, 2017, 4:00 pm CST: Paul Macklin, at the University of Nebraska-Lincoln Dept. of Mathematics Colloquium
- New open source tools for computational modeling of cancer and multicellular systems
- Abstract and more information: Abstract
- Mar. 27, 2017: Paul Macklin, at the MBI Emphasis Workshop: Hybrid Multi-Scale Modelling and Validation
- From Single Models to Community Advances: open source codes and data standards
- Abstract and more information: Workshop Schedule
- Recording: [click here]
- Apr. 20, 2017, 4:00 pm EDT: John Metzcar, at the Medical and Biological Sciences Physics Student Organization (MaBSPO) Seminar
- Modeling the Role of Hypoxia in Cancer Metastasis
- Abstract and more information: Abstract
- Apr. 27, 2017: Paul Macklin, Keynote Speaker at the Frontiers in Mathematical Oncology: Young Investigators Conference
- Advances towards open source 3-D multicellular cancer systems biology
- Jun. 12, 2017: Paul Macklin, at the Gordon Research Conference in Mammary Gland Biology
- 3-D Simulations of Multicellular Systems Biology in Ductal Carcinoma In Situ
- Jun. 19, 2017: Paul Macklin, at the 2017 NetSci Conference
- Problems (and early solutions) in reproducibility for multicellular systems biology
- Satellite: Strengthening Reproducibility in Network Science
- Jul. 17, 2017: Paul Macklin, at the Annual Meeting of the Society for Mathematical Biology
- Agent-based simulation of colon cancer metastases in large liver tissues
- Minisymposium 10: Liver as a model system for mechanics, flow, and multiscale mathematical biology
- Jul. 17, 2017: John Metzcar, at the Annual Meeting of the Society for Mathematical Biology
- Modeling the Role of Hypoxia in Tumor Metastasis Development
- Contributed Session 1: Cancer Dynamics