🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Check out SIAM’s latest book, Iterative Methods and Preconditioners for Systems of Linear Equations, by Gabriele Ciaramella and Martin J. Gander. For more information and to order visit, my.siam.org/Store/Product/…

An amazing evening at Cafe Zola in Ann Arbor yesterday for the UQ-SciML Group + friends, full of great food and conversations! Looking forward to many such outings in the future too.

Steven Strogatz Have you seen the Sierpinski hamentasch? improbable.com/2015/03/05/fra…

In scenic Atlanta this week for the SIAM UQ22 Conference! Looking forward to some exciting talks and presentations about Multifidelity methods, OED, VI, Uncertainty Quantification and Propagation and lots more. Full program: meetings.siam.org/program.cfm?CO…

First up this week at #SIAM UQ22 from our group is Chengyang Huang!🥳 He presented some exciting work on "Fast Approximate Uncertainty Quantification via Conditional GANs". Read the full abstract here: meetings.siam.org/sess/dsp_talk.…

Action packed day at #SIAMUQ22! Kicking things off with Wanggang Shen, who presented on "Optimal Bayesian Design of Sequential Experiments Using Deep Deterministic Policy Gradient"🎉. More details on ArXiV: arxiv.org/abs/2110.15335

Also for the win at the morning session of #SIAMUQ22 Day 3 is Snehal Prabhudesai Snehal Prabhudesai! We learnt about her work on "Low Cost Bayesian UQ for Deep Learning in Medical Image Segmentation"🧠📊. Full abstract: meetings.siam.org/sess/dsp_talk.…

Last day of #SIAMUQ22 , but lots to offer yet🤓. We kicked off with Jeremiah Hauth presenting work on Bayesian Inference for Predictive Modeling in PH Balance Training🙌🏻, with exciting results using Projected SVGD. Full abstract: meetings.siam.org/sess/dsp_talk.…

Carrying on, some great talks in the morning session on Variational Inference🍿, including one by Maria Veiga on "Optimal Experimental Design Using Variational Inference Approximations" which presents a cool application of VI in OED settings. Very enjoyable😄!

The last student presenter from the group was Jiayuan Dong, who deftly explained expert elicitation for Bayesian prior construction!📐🔨 (full abstract: meetings.siam.org/sess/dsp_talk.…) With that, for now it's goodbye Atlanta, it has been a lot of fun! #SIAMUQ22 🎆✈️

Celebrated the end of the semester with food, cookies and fun games out at the North Campus Grove🌯🍪🏈😄. Looking forward to a great and productive summer with everyone🌞🎉

We have a new manufacturing postdoc opening University of Michigan Mechanical Engineering (starting asap). This is an exciting opportunity to work on a key novel technology to accelerate the transition to low-carbon manufacturing and transport. Please see here for more details: remade.engin.umich.edu/Publications/M…

Lab Update: Wanggang Shen recently defended his dissertation on "Reinforcement Learning based Sequential and Robust Bayesian Optimal Experimental Design". Congratulations, Dr. Shen! 🎓 Here's to many more future successes.🎉

NEW ARTICLE: “$7.5 million to predict and communicate flood risk.” Engineers, atmospheric scientists, psychologists and anthropologists team up to develop better flood predictions and ensure decision-makers can understand them. [article] news.engin.umich.edu/2023/08/7-5-mi…

What are the chances that flooding occurs, and how bad could it be? Michigan Engineering experts seek to provide answers to crucial questions when a flood risk arises. Read more [article] bit.ly/3KSMY4F