{"id":56151,"date":"2026-04-21T10:18:19","date_gmt":"2026-04-21T14:18:19","guid":{"rendered":"https:\/\/engineering.jhu.edu\/ams\/?post_type=tribe_events&#038;p=56151"},"modified":"2026-04-21T10:18:19","modified_gmt":"2026-04-21T14:18:19","slug":"ams-weekly-seminar-benjamin-d-wandelt","status":"publish","type":"tribe_events","link":"https:\/\/engineering.jhu.edu\/ams\/event\/ams-weekly-seminar-benjamin-d-wandelt\/","title":{"rendered":"AMS Weekly Seminar | Benjamin D. Wandelt"},"content":{"rendered":"<p><strong>Location: <\/strong>Shaffer 3<\/p>\n<p><strong>When:<\/strong> April 23rd at 1:30 p.m.<\/p>\n<p><strong>Title: <\/strong>Cosmology-inspired research themes in statistics and applied math<\/p>\n<p><span><strong>Abstract: <\/strong><\/span>As a way to introduce myself to the department and to start conversations in areas of common research interest, I will present a selection of research vignettes in applied math and statistics that connect to applications in cosmology.<\/p>\n<p>The modeling and analysis of cosmological data pose such problems at considerable scale and structure: Markov Chains on spaces of millions of correlated dimensions; estimating statistics from simulations one cannot afford to run often; performing parameter inference when the likelihood or the prior are intractable but a simulator is available; doing inference of covariance while having a sample of n=1 (one universe!); and working with data on the sphere, the natural domain of whole-sky observations.<\/p>\n<p>I will sketch some threads running through our work on these problems: 1) scalable Bayesian sampling for cosmological fields, from exact Gibbs schemes to posterior sampling of the primordial Universe using Hamiltonian Monte Carlo; 2) numerical harmonic analysis on $S^2$\u00a0and $\\mathrm{SO}(3)$, including the HEALPix tesselation,\u00a0exact convolution and sampling theorems; and 3) recasting intractable inference and model comparison tasks as neural optimization problems on graphs and fields. If there is time, I will mention problems involving optimal transport, intrinsic dimensionality estimation, and symbolic regression.<\/p>\n<p><strong>Zoom link:<\/strong> https:\/\/wse.zoom.us\/j\/92366532431<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Location: Shaffer 3 When: April 23rd at 1:30 p.m. Title: Cosmology-inspired research themes in statistics and applied math Abstract: As a way to introduce myself to the department and to&hellip;<\/p>\n","protected":false},"author":69,"featured_media":0,"template":"","meta":{"_acf_changed":false,"_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"","_relevanssi_noindex_reason":"","_tribe_events_status":"","_tribe_events_status_reason":"","footnotes":""},"tags":[],"tribe_events_cat":[260],"class_list":["post-56151","tribe_events","type-tribe_events","status-publish","hentry","tribe_events_cat-seminars-and-endowed-lectures","cat_seminars-and-endowed-lectures"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AMS Weekly Seminar | Benjamin D. Wandelt | Department of Applied Mathematics and Statistics<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/engineering.jhu.edu\/ams\/event\/ams-weekly-seminar-benjamin-d-wandelt\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AMS Weekly Seminar | Benjamin D. 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