{"id":25484,"date":"2026-05-13T15:30:20","date_gmt":"2026-05-13T19:30:20","guid":{"rendered":"https:\/\/www.bu.edu\/igs\/?post_type=profile&#038;p=25484"},"modified":"2026-05-13T15:30:20","modified_gmt":"2026-05-13T19:30:20","slug":"xinyi-hu","status":"publish","type":"profile","link":"https:\/\/www.bu.edu\/igs\/profile\/xinyi-hu\/","title":{"rendered":"Xinyi Hu"},"content":{"rendered":"<p><span>Selena Hu, a 2026 Graduate Summer Fellow at the Boston University Institute for Global Sustainability (IGS), is a PhD student in Computing &amp; Data Sciences. Hu&#8217;s research focuses on multi-agent reinforcement learning and data-efficient exploration. Her work develops learning algorithms that enable efficient decision-making, with applications to real-world systems such as building energy optimization. She is particularly interested in designing scalable learning methods with broad real-world impact.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Her faculty advisor is <span>Aldo Pacchiano (Assistant Professor, Computing &amp; Data Sciences) <\/span>and her project is titled &#8220;<span>Smart and Sustainable Buildings through Data-Efficient Reinforcement Learning.<\/span>&#8220;<\/span><\/p>\n<p>Pronouns: she\/her\/hers<\/p>\n","protected":false},"author":26067,"template":"","_links":{"self":[{"href":"https:\/\/www.bu.edu\/igs\/wp-json\/wp\/v2\/profile\/25484"}],"collection":[{"href":"https:\/\/www.bu.edu\/igs\/wp-json\/wp\/v2\/profile"}],"about":[{"href":"https:\/\/www.bu.edu\/igs\/wp-json\/wp\/v2\/types\/profile"}],"author":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/igs\/wp-json\/wp\/v2\/users\/26067"}],"version-history":[{"count":1,"href":"https:\/\/www.bu.edu\/igs\/wp-json\/wp\/v2\/profile\/25484\/revisions"}],"predecessor-version":[{"id":25486,"href":"https:\/\/www.bu.edu\/igs\/wp-json\/wp\/v2\/profile\/25484\/revisions\/25486"}],"wp:attachment":[{"href":"https:\/\/www.bu.edu\/igs\/wp-json\/wp\/v2\/media?parent=25484"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}