This will be an informal discussion for graduate students about the opportunities and benefits available through the Society for Industrial and Applied Mathematics (SIAM).

Mathematical modeling is a way for researchers to visualize components of a system and analyze how those components interact. When these models become significantly large, many problems arise. Here are…

This will be the first seminar in the SIAM Industry series, which is focused on presenting information about research opportunities in business, industry, and government jobs. Speakers will discuss their…

This seminar will be an informal panel of some of our fellow graduate students speaking on their experiences with applying to and participating in internships in business, industry, and government.…

Machine learning has become widely popular in fields like computer vision, natural language processing, and speech recognition, often performing tasks better than humans. A fundamental building block of many of…

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…

In this talk, I will present basic Bayesian statistics and multi-source Bayesian data fusion methods. It will start with basic statistical definitions, working through a coin flip problem. From there,…

This talk will report on my experiences as a Mathematician at Space and Naval Warfare (SPAWAR) Systems Center Atlantic. After an introduction, I will provide an overview of SPAWAR Atlantic,…

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…

Convex optimization problems appear naturally across the sciences in fields such as compressed sensing, statistics, machine learning, image processing, and inverse problems. This talk will discuss the theory, applications, and…

The SIAM student chapter will be hosting an introductory lecture aimed at Undergraduates and Graduate students on national SIAM events, SIAM resources, and upcoming student chapter events. Cookies and coffee…

Machine learning has become widely popular in fields like computer vision, natural language processing, and speech recognition, often performing tasks better than humans. A fundamental building block of many of…

Mike Thompson, the Managing Director and CEO of First Analytics, will be giving a seminar on how machine learning and mathematics are used to handle large data analytics programs at First…

Kitware researchers Dr. Rachel Clipp and Dr. Matt Brown will talk about their transition from academic research to R&D at a private company as well as some of their active…

Profs. Ilse Ipsen, Ralph Smith, and Mansoor Haider will provide their insight on experiences in academic job hiring. This panel will provide graduate students interested in careers in academia with…

How do we know that we can trust our machine learning models?  How do we detect when an adversary is exploiting our machine learning solutions? How does the explainability of machine…

Zoom link: https://ncsu.zoom.us/j/91930283621

Brian Adams and colleagues will conduct a mathematics and statistics-specific information session including a brief overview of SNL’s mission, R&D areas, and opportunities in mathematics, statistics, and computational science. Staff and project…

Zoom link: https://ncsu.zoom.us/j/96495890729?pwd=VUhKZWFKbXBGLy9LVjlJalRsL2RBdz09 Passcode: SIAM Abstract: Join Tracie Ellis, Vice President Business Analytics at Bandwidth, for an informal discussion about her team’s role in creating a data-driven culture at Bandwidth, a software/telecommunications…

Dustin Kapraun attained degrees in mathematics (B.S., 1998), physics (M.S., 2002), and applied mathematics (Ph.D., 2014), all from North Carolina State University. After finishing the Ph.D., he completed two postdoctoral…