The MIT wrestling club holds practices in the du Pont Wrestling Room on weeknights 5:30-7pm. All levels of experience welcome! Whether you're looking to learn how to grapple or just want to get in a good workout, wrestling practice is a good time to learn technique, get in some live goes, and have fun with a great group of people.Current schedule is: structured practice MTRF, open mats W, and technique sessions 9-10:30am on Saturday. For more information, contact wrestling-officers@mit.edu.

Please join us for the 20th Annual MIT Sloan Investment Conference on Friday, February 7th, 2025 at the Intercontinental Hotel in Boston.This year’s theme is FROM DOTCOM TO REFLATION: 20 Years of Market Evolution. Throughout the day, we’ll hear from distinguished Keynote Speakers and Panelists as they discuss a range of topics pertinent to the industry today through the lens of continued change and disruption.We are also hosting a Networking Reception | Key Note Speaker on Thursday, February 6th, from 6-8 PM ET in Downtown Boston. Light bites and drinks will be served. Tickets to both events may be purchased via Eventbrite.

Enjoy a warm drink, connect with old friends, and meet new ones. Please bring a snack to share (store bought or homemade).Let's talk about whatever is on your mind. Hosted MS&PC volunteers. Babies & children are welcome.Simply send an email to spousesandpartners@mit.edu and let us know that you would like to join us.ONLY FOR SPOUSES, PARTNERS, AND SIGNIFICANT OTHERS.

Enjoy a warm drink, connect with old friends, and meet new ones. Please bring a snack to share (store bought or homemade).Let's talk about whatever is on your mind. Hosted MS&PC volunteers. Babies & children are welcome.Simply send an email to spousesandpartners@mit.edu and let us know that you would like to join us.ONLY FOR SPOUSES, PARTNERS, AND SIGNIFICANT OTHERS.

Speaker: Rajarshi Mukherjee (Harvard University)Title: Inference for ATE & GLM's when 𝒑 𝒏 → 𝜹 ∈ (𝟎, ∞)Abstract: In this talk we will discuss statistical inference of average treatment effect in measured confounder settings as well as parallel questions of inferring linear and quadratic functionals in generalized linear models under high dimensional proportional asymptotic settings i.e. when 𝑝 𝑛 → 𝛿 ∈ (0, ∞) where 𝑝, 𝑛 denote the dimension of the covariates and the sample size respectively . The results rely on the knowledge of the variance covariance matrix Σ of the covariates under study and we show that whereas 𝑛- consistent asymptotically normal inference is possible for any 𝛿 by using method of moments type estimators that do not rely on estimating high dimensional nuisance parameters followed by a debiasing strategy. Without the knowledge of Σ we first develop 𝑛-consistent estimators by using simple estimators of Σ when 𝛿 < 1. Subsequently for 𝛿 ≥ 1 we develop consistent estimators of the quantities of interest and argue that 𝑛-consistent estimation might not be possible without further assumptions on Σ. Finally we verify our results in numerical simulations. This talk is based on joint work with Xingyu Chen and Lin Liu from Shanghai Jiao Tong University.Biography: Rajarshi Mukherjee is an Associate Professor in the Department of Biostatistics at Harvard T.H. Chan School of Public Health. Previously, he was an Assistant Professor in the Division of Biostatistics at UC Berkeley following his time as a Stein Fellow in the Department of Statistics at Stanford University. He obtained his PhD in Biostatistics from Harvard University, advised by Prof. Xihong Lin. He is generally interested in understanding broad aspects of causal inference in observational studies in modern data settings with a focus on learning about fundamental challenges in the statistical analysis of environmental mixtures and their effects on the cognitive development of children and cognitive decline in aging populations. His research is also motivated by learning through applications in large-scale genetic association studies, developing statistical methods to quantify the effects of climate change on human health, and understanding the effects of homelessness on human health.

Are you new to MIT and MIT Spouses & Partners Connect? Want to learn about how to participate in our meetings and groups? Have questions about living, working, and/or parenting in Boston? Meet with Jennifer Recklet Tassi, the Program Manager, and Viktoriia Palesheva, the Program Assistant, and ask your questions about life at MIT and in Boston.If you'd like to attend, just send an email to spousesandpartners@mit.edu to let us know you're coming.