Join your Goat for a weekend of family fun. Programming runs from 5pm on Friday, September 12 through Sunday September 14 at 12noon. Please see the Family Weekend page for a full list of schedule details (available in July 2025).Families are asked to register for Family Weekend on the Family Weekend page by September 2 at 5pm. Registration available after June 16, 2025.

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The Concert Band is performing during Parents' Weekend in Alden Hall on sunday, September 14th at 1pm.

DATA SCIENCEPhD Dissertation Proposal DefenseRuofan Hu Time: Sep 15, 2025, from 9:00- 10:00 amLocation: Gordon Library Conference Room 303PhD Committee:Prof. Elke A. Rundensteiner, Data Science, WPI. Advisor.Prof. Randy Paffenroth, Mathematical Sciences, WPI.Prof. Fabricio Murai, Data Science, WPI.Prof. Feifan Liu, Population and Quantitative Health Sciences, UMass Chan Medical School. External member. Title: Learning from Weak SupervisionAbstract: Deep learning models often rely on high-quality labeled data, yet such resources are scarce and costly in domains like public health and healthcare. This dissertation addresses the problem of learning from weak supervision, where labels are noisy, incomplete, or coarse. This dissertation focuses on two major regimes: noisy supervision, which involves developing strategies to learn effectively from mixed- and unknown-quality labels, and indirect supervision, which entails designing methods that leverage coarse-grained signals to guide fine-grained tasks, such as rationale extraction and clinical notes summarization. Across four tasks, novel approaches are proposed to reduce dependence on expert annotations, mitigate label noise and imbalance, and exploit existing high-level signals. This work contributes to the development of robust, scalable models that enhance clinical decision support and medical text understanding.

Seminar Series “Successes and Challenges in Using Mathematical Modeling to Bridge Scales in Muscle Contraction” Sam Walcott, PhD Mathematical Sciences Worcester Polytechnic Institute Monday, September 15, 2025 GP1002 12:00pm – 12:50pm Abstract: The contraction of muscle powers vital processes like locomotion, gastric motility, and blood circulation. The rational development of therapies for dysfunction in these processes, e.g. genetic heart disease, depends on connecting molecular-scale interactions to physiological function. Since the 1950s, the sliding filament and cross bridge theories seemed to relate molecular interactions to the contraction of muscle cells. But, despite the successes of these theories, aspects of muscle contraction, e.g. the history dependence of isometric force, have eluded a mechanistic description. I'll discuss our work using mathematical modeling to bridge the molecular to cellular and larger scales. In particular, I'll share three stories: first, how we used mathematical modeling to explain how a molecular change causes fruit flies to jump further. Second, how our model of calcium activation was used to understand the mechanism of a heart drug. And third, how our modeling suggests a molecular mechanism for muscle's history dependence, and how that ties into a newly-discovered mechanism of muscle activation. Biography: (last name pronounced like the words "wall" and "cot"). I received my undergraduate degree in Biology and my PhD in Theoretical and Applied Mechanics, both from Cornell University. I did my first postdoc with David Warshaw at the University of Vermont, performing measurements in the laser trap to understand smooth muscle regulation. I did my second postdoc with Sean Sun at Johns Hopkins, developing mathematical models for cell mechanosensation. I then became an independent investigator at UC Davis in the Department of Mathematics. I am currently at Worcester Polytechnic Institute in the Department of Mathematical Sciences. My primary research interest is using mathematical modeling to tie together experimental measurements of biological systems at the molecular, cellular, and larger scales. For a zoom link please contact Kate Harrison at kharrison@wpi.edu

Ludwig Boltzmann was unsatisfied with fluid theory (Navier-Stokes Eq., etc.) as it lacked a microscopic theory that could explain the irreversibility at the core of thermodynamics. He committed himself to show how the disbelieved notion of atoms could unravel fluid dynamics into a stochastic particle theory. This talk is about my research program to similarly find a microscopic and ballistic theory of “particles” that generates quantum mechanics, while staying within the guard rails of Einstein’s notion of “realism”. We will visit several less traveled areas of quantum theory and mathematics while following a path to this goal and end with a demonstration of a computational demonstration.David Cyganski Professor Emeritus, Electrical and Computer Engineering, RBE - WPIAll Faculty and students are welcome and encouraged to join us! Physics Department Room 218

Life Sciences Seminar Series "Investigating the post-transcriptional role of regulatory small RNAs in mycobacterial stress responses" Opeyemi Isaac Ibitoye, BBT PhD Candidate, Advisor: Associate Professor Scarlet Shell"Identification of Functional Targets Reveals Novel GLD-2 Functions in the C. elegans Proximal Germline" Danni Li, BBT PhD Student, Advisor: Karl-Frédéric Vieux Tuesday September 16th 2025 @ 12:00 PM 60 Prescott St. Gateway Park 1st floor GP1002

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Department of Mathematical SciencesDiscrete Math SeminarTuesday, September 16th, 20254:00PM-4:50PMOlin Hall 126Speaker: Jane Coons, WPITitle: Quasi-Independence Models with Rational Maximum Likelihood Estimator Abstract: Let X and Y be random variables. Quasi-independence models are log-linear models that describe a situation in which some states of X and Y cannot occur together, but X and Y are otherwise independent. We characterize which quasi-independence models have rational maximum likelihood estimator, or MLE, based on combinatorial features of the bipartite graph associated to the model. In this case, we give an explicit formula for the maximum likelihood estimate. We also give a substantial introduction to algebraic statistics, which will be accessible to advanced undergraduate students.

Come to this virtual drop-in session to ask ITS staff your questions on how to best manage your Microsoft 365 Storage.Here is the Zoom link: https://wpi.zoom.us/j/96953356331 If you have any difficulty logging in, please call the Service Desk at 508-831-5888. Microsoft 365 Storage Resources:These resources will help you get started on managing your Outlook and OneDrive storage.Storage Management FAQsExploring OutlookThe Inbox Cleanup Journey of an Email Hoarder by Mike HamiltonExploring OneDriveOneDrive Cleanup Companion by Mike Hamilton

Eat pizza, meet writing faculty, chat with other writing students, and learn about writing programs at WPI. We'll also be raffling away some WPI swag. Open to writing students and students who might be interested in pursuing writing at WPI as a major, minor, or HUA depth.Please RSVP through the registration link below if you plan on attending.

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Be well at home while celebrating Wellness Day on September 19th. Drop by the Center for Well-Being or the lobby of Gateway 1 (60 Prescott) starting on Wednesday, September 17th to pick up your Wellness @ Home Kit to help de-stress and relax. Kits will be available September 17-19 or until we run out. Get one before they are gone! Sponsored by the CWB.

Abstract: In recent years, there has been growing recognition that the physical bodies of animals play just as crucial a role in performing complex tasks as the control signals that drive them. In the field of robotics, this has given rise to the concept of “mechanical intelligence,” whereby desired behavior is embedded directly into robotic hardware rather than relying purely on active control. Though much work remains to match the level of performance found in nature, great progress has been made by both soft and rigid roboticists, alike. In this talk, Prof. Connor McCann will present his research at the intersection of these two fields, using a combination of experimental, theoretical, and numerical techniques to embed intelligent behavior into rigid robotic hands, soft wearable rehabilitative robots, and biomimetic soft-rigid structures inspired by stingray skeletons. As the director of the Principled Rigid-Soft Mechanisms (PRiSM) Lab at WPI, Prof. McCann’s ongoing research directions focus on the development of new paradigms to achieve mechanical intelligence through “hybrid-stiffness” mechanisms. By leveraging the benefits of both softness and rigidity, he aims to push the bounds of robotic hardware to enable complex and intelligent robotic behavior beyond what is currently possible.Bio: Connor McCann is an Assistant Professor in the Robotics Engineering department at Worcester Polytechnic Institute. His research focuses on hybrid-stiffness mechanisms at the intersection of rigid and soft robotics. He is interested in the underlying mechanics that govern the non-trivial interactions between rigid and soft materials, and how these interactions can enable advanced, highly functional behavior in robots. His work combines first-principles physical modeling with application-driven design and prototyping, spanning multiple application areas including robotic grasping and manipulation, wearable robotics, and bioinspired robotics. Prior to joining WPI, he received his Ph.D. and M.S. from Harvard University and his B.S. from Yale University, all in mechanical engineering.

TITLE: Investigations of current-use flame retardants and plasticizers in atmospheric particulate matterAbstract: The World Health Organization (WHO) considers air pollution “one of the biggest environmental threats to human health". Since organic chemicals can efficiently sorb to particulate matter (PM), the health effects associated with these chemicals must also be considered a hazard. Organophosphate esters (OPEs), which are a “reemerging” pollutant with a wide-range of uses in consumer products, including as a flame retardant (FR) and plasticizer, are one such ���high production volume” chemical. Despite known and suspected health effects of OPEs, there is no international regulation in place for OPEs and studies of these chemicals in PM in the US are limited. Providence, RI is the third most populated city in New England while also being home to New England’s second largest deep-water port. It has been documented that urban centers are a significant source of OPEs and have been shown to be transported to coastal regions from other nearby cities. Filter-based samples of total suspended particulate (TSP) and PM2.5 have been collected in Providence, RI. Samples were extracted to determine the concentration of 33 OPEs (including 14 novel-OPEs) in an urban area as a function of size fraction, season, precipitation, and solar radiation. Comparison of partitioning between size fractions will allow for a better understanding of health-related exposures, since PM2.5 is the respirable fraction of PM. Preliminary data on OPEs in Pacific Northwest wildfires will also be presented.Biography: Adelaide E. Clark received a Bachelor of Science in Chemistry with a concentration in education from Emory & Henry College before pursuing her PhD in analytical chemistry from Baylor University. Prior to coming to Providence College, she spent 6 years teaching at the Oregon Institute of Technology, the last year as a tenured faculty member. While at Oregon Tech, she worked with undergraduate researchers looking at the effects of wildfire smoke on hospitalization rates and the effects of wood stoves on air quality in the Klamath Basin. Since coming to PC, she's been conducting research looking at flame retardants and plasticizers at three sites in Rhode Island through FriAir Net, the Friar Air Monitoring Network at Providence College (established by her group in 2023), and in wildfire samples from the Pacific Northwest.