Online Controlled Experiments, Learning From Running A/B/n Tests At Scale

The SIAM Student chapter and the Statistics department will be hosting a joint seminar by Kaska Adoteye, a data scientist from Microsoft and NC State alumni.

The seminar is at 4:30-5:30 PM in SAS 1216.

Abstract: How much is an idea really worth? What defines success for a product? How can we quantify “better” or “worse”? At Microsoft we have tens of thousands of engineers and data scientists trying to improve products that touch over a billion people worldwide. The data scale is enormous, and we’re trying to learn from that data daily. How can we do this effectively? The Internet provides developers of connected software, including web sites, applications, and devices, an unprecedented opportunity to accelerate innovation by evaluating ideas quickly and accurately using trustworthy controlled experiments (e.g., A/B tests and their generalizations). From front-end user-interface changes to backend recommendation systems and relevance algorithms, from search engines (e.g., Google, Microsoft’s Bing, Yahoo) to retailers (e.g., Amazon, eBay, Netflix, Etsy) to social networking services (e.g., Facebook, LinkedIn, Twitter) to Travel services (e.g., Expedia, Airbnb, Booking.com) to many startups, online controlled experiments are now utilized to make data-driven decisions at a wide range of companies. While the theory of a controlled experiment is simple, and dates back to Sir Ronald A. Fisher’s experiments at the Rothamsted Agricultural Experimental Station in England in the 1920s, the deployment and mining of online controlled experiments at scale and deployment of online controlled experiments across dozens of web sites and applications has taught us many lessons. We provide an introduction, share real examples, key lessons, and cultural challenges.

SIAM Student Chapter Industry Series: Dr. Rachel Clipp, R&D Staff, Kitware Inc

Kitware develops and supports modeling and simulation platforms that power medical training, planning, and predictive applications for improved patient treatment and outcomes. Our capabilities include whole-body computational physiology models for faster than real-time simulation, surgical planning, and guidance applications, high-fidelity computational fluid dynamics for patient-specific treatment planning, and virtual/augmented reality solutions for immersive training, and patient-specific image-to-model and mode-to-simulation workflows. Our innovative applications are needs driven for academic, clinical, and commercial settings for improved patient care. Kitware’s open source approach encourages community involvement and adoption of our state of the art technologies.

SAS 4201, Thursday November 15th, 4:00-5:00 PM

Mathematics in Industry Seminar

At 4 PM on October 17 the NCSU SIAM student chapter will be holding a Mathematics in Industry  seminar in SAS 2102. Steven Hamilton from Oak Ridge National Laboratory will be discussing the DOE Exascale Computing Project. Here is his abstract:

 

The DOE Exascale Computing Project (ECP), a collaborative effort between the DOE Office of Science and the National Nuclear Security Administration, is aimed at accelerating the development of both hardware and software for the next generation of supercomputers, which will be capable of computational performance in excess of one exaflops (10^18 floating point operations per second).  ECP is divided into three main research focus areas: applications development, software technology, and hardware technology.  In this talk, we will briefly discuss each of the focus areas and describe a number of locations where mathematicians and computational scientists are heavily contributing.  Particular focus will be placed on highlighting ECP subprojects in which Oak Ridge National Laboratory plays a significant leadership role, including modeling and simulation for nuclear reactors, materials science, and fusion energy.

Introduction to SIAM Seminar

On Tuesday, September 11, 2018 there will be an introduction to SIAM seminar in Daniels Hall 341 at 3:50 PM. An overview of the benefits and activities of SIAM will be provided. Coffee and cookies will be provided.