Myth-busting: Planning and managing healthcare expenses
Thursday, October 30, 2025 3:00–3:30 PM
- DescriptionLearn more about your Medicare, Health Savings Account and long-term care benefits for today and tomorrow.
- Websitehttps://www.wpi.edu/news/calendar/events/myth-busting-planning-and-managing-healthcare-expenses
More from Events - Faculty
- Oct 304:00 PMChina's Maritime Strategy and Sea ForcesGlobal Asia Hub invites Dr. Andrew Erickson, Visiting Scholar Harvard Fairbank Center for Chinese Studies and Prof of Strategy,China Maritime Studies Institute, US Naval War College to give a presentation discussing China's sea forces and XI seeks to use them in a time of dangerous shifting power dynamics. China under Xi Jinping has become a great maritime power, possessing the world's largest fleets numerically in every maritime category.
- Oct 31 – Nov 4Wellness @ Home KitsBe well at home while celebrating Wellness Day on November 4th. Drop by the Center for Well-Being or the lobby of Gateway 1 (60 Prescott) starting on Friday, October 31st to pick up your Wellness @ Home Kit to help de-stress and relax. Kits will be available October 31-November 4 or until we run out. Get one before they are gone! Sponsored by the CWB.
- Oct 3111:00 AMDepartment of Mathematical Sciences Colloquium: George Yin, University of ConnecticutDepartment of Mathematical SciencesColloquiumFriday, October 31st, 202511:00AM-11:50AMStratton Hall 202Speaker: George Yin, University of ConnecticutTitle: Computational Nonlinear Filtering: A Deep Learning ApproachAbstract: Nonlinear filtering is a fundamental problem in signal processing, information theory, communication, control and optimization, and systems theory. In the 1960s, celebrated results on nonlinear filtering such the Kushner equation and the Duncan-Motensen-Zakai equation were obtained. Nevertheless, the computational issues for nonlinear filtering remained to be a long-standing and challenging problem. In this talk, in lieu of treating the stochastic partial differential equations for obtaining the conditional distribution or conditional measure, we construct finite-dimensional approximations using deep neural networks for the optimal weights. Two recursions are used in the algorithm. One of them is the approximation of the optimal weight and the other is for approximating the optimal learning rate. Convergence and rates of convergence will be discussed together with some examples. [This is a joint work with Hongjiang Qian (Auburn University) and Qing Zhang (University of Georgia).]
- Oct 3112:00 PMDepartment of Mathematical Sciences QIT Thinking Seminar: Gabor Lippner, Northeastern UniversityDepartment of Mathematical SciencesQIT Thinking SeminarWednesday, October 31st, 20254:00PM-4:50PMStratton Hall 207Speaker: Gabor Lippner, Northeastern UniversityTitle: State transfer via loops edgesAbstract: I will give an overview of the effect of weighted loops on quantum state transfer on graphs. I will discuss perfect, pretty good, and asymptotically strong variants, and explain the corresponding tools we introduced to analyze these situations. These tools range from Galois theory (field trace) to random walks on graphs, and often raise interesting questions in their own right
- Oct 3112:00 PMMilk & CookiesJoin ODIME on Fridays from 12:00-2:00pm ET in OASIS House for milk and freshly baked cookies! For more information or accommodations, please contact ODIME at diversity@wpi.edu. All are welcome!
- Oct 3112:00 PMStaff Lunch and Gather - October 31Join us on Friday, October 31, from 12:00–1:00 p.m. for a Lunch and Gather drop-in session in Innovation Studio 205. This gathering is an opportunity to connect with others who share your hobbies, interests, and likes.Don't forget to bring your lunch and a friend with you!Check out more Staff Council engagement opportunities here.


