Algorithms for Deterministically Constrained Stochastic Optimization.
Alex Hrabski | Naval Architecture & Marine Engineering and Scientific Computing | Investigations of Wave Turbulence in Bounded Domains
Gurmeet Singh | Aerospace Engineering & Scientific Computing | Understanding thermomechanical behavior of vitrimers using molecular dynamics simulations
Audience: Researchers who are use or are interested in using matching. Taught in R (familiarity is assumed) but concepts transfer to other software. An introduction to matching, such as propensity score matching, using R's "optmatch" package. We will discuss the theory behind matching and propensity scores, followed by examples using R to perform the matching […]
Audience: Those who have never used Stata before but wish to learn. By the end of the workshop, participants will be able to: Work with Stata, including using Do-files and using the help system; Get data into Stata and manage your data files; Establish familiarity with your data; Clean the data to prepare it for […]
WATCH THE RECORDING HERE. Mark Pauly is a full professor at EPFL, where he directs the Geometric Computing Laboratory (GCM). Prior to joining EPFL, he was assistant professor at ETH Zurich, postdoctoral scholar at Stanford University, and doctoral student at ETH Zurich. He received the ETH medal for outstanding dissertation in 2003, was awarded the […]
Pei-Hsun Huang | Nuclear Engineering and Radiological Sciences & Scientific Computing | Simulation for the Design of Sodium Heat Pipes bundle Test Facility for the Application of Microreactors
Shirlyn Wang | Applied and Interdisciplinary Mathematics & Scientific Computing | Modeling CTL-mediated Tumor Cell Death Mechanisms and the Activity of Immune Checkpoints in Immunotherapy
Mechanics of Hierarchical Porous Materials.
Audience: Researchers using Stata to fit statistical models Stata's `margins` command is a powerful and robust tool that makes Stata one of the premier pieces of software for statistical analysis. In this workshop, we will cover the basic uses of the `margins` command, including its use to better understand categorical predictors, interactions, and non-linear effects; […]