{"id":2322,"date":"2026-02-04T14:59:14","date_gmt":"2026-02-04T22:59:14","guid":{"rendered":"https:\/\/depts.washington.edu\/healthms\/?page_id=2322"},"modified":"2026-02-06T10:43:46","modified_gmt":"2026-02-06T18:43:46","slug":"peng-zheng","status":"publish","type":"page","link":"https:\/\/depts.washington.edu\/healthms\/faculty-staff\/peng-zheng\/","title":{"rendered":"Peng Zheng"},"content":{"rendered":"
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Peng Zheng<\/h2>\n

Assistant Professor<\/em><\/p>\n

Email: <\/strong>zhengp@uw.edu<\/a><\/p>\n

Office Hours:<\/strong> Tuesday, Thursday 1:30PM-2:30PM. Email to arrange.<\/p>\n<\/div>\n<\/div>\n

<\/div>\n<\/div>\n

Peng Zheng, PhD, is Assistant Professor of Health Metrics Sciences at the at the Institute for Health Metrics and Evaluation (IHME) at the University of Washington. Dr. Zheng specializes in statistical modeling, optimization, and algorithm design for inference, inversion, and machine learning. He designed and implemented the MR-BRT software package for meta-analysis and evidence score work, along with underlying open source LimeTr and Xspline packages that improve on the general state of the art for mixed effects models and B-splines. Dr. Zheng engages with researchers across many projects on a range of technical problems including risk factor analysis, meta-analysis, robust modeling, and frontier analysis; implements, tests, and helps deploy these solutions across IHME.<\/p>\n

Dr. Zheng earned a PhD in Applied Mathematics from University of Washington.<\/p>\n

IHME was established at the University of Washington in Seattle in 2007. Its mission is to improve health through better health evidence.<\/p>\n","protected":false},"excerpt":{"rendered":"

Peng Zheng Assistant Professor Email: zhengp@uw.edu Office Hours: Tuesday, Thursday 1:30PM-2:30PM. Email to arrange. Peng Zheng, PhD, is Assistant Professor of Health Metrics Sciences at the at the Institute for Health Metrics and Evaluation (IHME) at the University of Washington. Dr. Zheng specializes in statistical modeling, optimization, and algorithm design for inference, inversion, and machine learning. He designed and implemented the MR-BRT software package for meta-analysis and evidence score work, along with underlying open source LimeTr and Xspline packages that…<\/p>\n","protected":false},"author":16,"featured_media":0,"parent":1999,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"templates\/template-no-title.php","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-2322","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/depts.washington.edu\/healthms\/wp-json\/wp\/v2\/pages\/2322","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/depts.washington.edu\/healthms\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/depts.washington.edu\/healthms\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/healthms\/wp-json\/wp\/v2\/users\/16"}],"replies":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/healthms\/wp-json\/wp\/v2\/comments?post=2322"}],"version-history":[{"count":4,"href":"https:\/\/depts.washington.edu\/healthms\/wp-json\/wp\/v2\/pages\/2322\/revisions"}],"predecessor-version":[{"id":2442,"href":"https:\/\/depts.washington.edu\/healthms\/wp-json\/wp\/v2\/pages\/2322\/revisions\/2442"}],"up":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/healthms\/wp-json\/wp\/v2\/pages\/1999"}],"wp:attachment":[{"href":"https:\/\/depts.washington.edu\/healthms\/wp-json\/wp\/v2\/media?parent=2322"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}