PoliMi SIAM Student Chapter

Data Assimilation and Uncertainty Quantification Techniques Improve Hemodynamic Models By Lina Sorg Accurate models can further researchers’ overall knowledge of cerebrovascular diseases like stroke and extracranial aneurysm, which arise due to issues with blood vessels in the brain (see Figure 1). The Circle of Willis (CoW), which is located at the brain’s base, is the main vesse...

COVID-19: Models, Mathematics, and Myths By Padmanabhan Seshaiyer, Anuj Mubayi, and Ross MaClean “All models are wrong, but some are useful.” In this quote, British statistician George E.P. Box suggests that while models attempt to predict the performance of certain phenomena, they are subject to limits that may prevent them from repre...

Optimization Theory and Perspectives on the Field of Machine Learning By Manuchehr Aminian The work of Michael Jordan’s (University of California, Berkeley) research group was a highlight of the 2020 SIAM Conference on Mathematics of Data Science (MDS20), which took place virtually earlier this year. The team’s research focuses on the connections between optimizat...

Writing "Learning LaTeX" By David F. Griffiths and Desmond J. Higham The following is a short reflection from the authors of Learning LaTeX, which was first published by SIAM in 1997. The second edition appeared in 2016. This piece is the second installment of a new SIAM News feature called “From the SIAM Bookshelf,” wh...