Dear Faculty, Please find attached the itinerary, CV, Research and Teaching Statement for this week's Faculty Candidate Dr. Shengli (Bruce) Jiang of Princeton University. His seminar flyer is below along with Zoom meeting information for the seminar tomorrow. We are still working to fill in available time slots and will send regular updates with additions as the visit is ongoing. We appreciate your cooperation with the planned visits. Should you have any questions, please contact either Jason Thorp or myself. Join Zoom Meeting https://purdue-edu.zoom.us/j/99375021288?pwd=hARnISiiHriBW0PoMOg7BphidSSLtS.1<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fpurdue-edu.zoom.us%2Fj%2F99375021288%3Fpwd%3DhARnISiiHriBW0PoMOg7BphidSSLtS.1&data=05%7C02%7Cchecourtesy%40ecn.purdue.edu%7Cdb20c4fc77f24624bef308de594292c0%7C4130bd397c53419cb1e58758d6d63f21%7C1%7C0%7C639046340376265861%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=%2F7K0Fpl%2BNC0QNl4lOylfl0sGAf8yASdGBhzT5QHOlfQ%3D&reserved=0> Meeting ID: 993 7502 1288 Passcode: boilerup --- One tap mobile +13017158592,,99375021288#,,,,*45169435# US (Washington DC) +13052241968,,99375021288#,,,,*45169435# US --- Join by SIP ∙ 99375021288@zoomcrc.com<mailto:99375021288@zoomcrc.com> Passcode: 45169435 Join instructions https://purdue-edu.zoom.us/meetings/99375021288/invitations?signature=OqI8rinTdjHedAVcIADWr4S6-ZjZI5oOn3GFIZK2bcY<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fpurdue-edu.zoom.us%2Fmeetings%2F99375021288%2Finvitations%3Fsignature%3DOqI8rinTdjHedAVcIADWr4S6-ZjZI5oOn3GFIZK2bcY&data=05%7C02%7Cchecourtesy%40ecn.purdue.edu%7Cdb20c4fc77f24624bef308de594292c0%7C4130bd397c53419cb1e58758d6d63f21%7C1%7C0%7C639046340376292144%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=bRH25%2FEbeICTDZ9QLWRlggfpj%2BW0rIXLQ6uoVo3EPRM%3D&reserved=0> Best Regards, Joshua Gonzalez Associate Operations Administrator Purdue University | Charles D. Davidson School of Chemical Engineering Office: (765) 494-4365 | Fax: (765) 494-0805 Come meet our faculty candidate! <https://maillinks.purdue.edu/t/48993229/1728946974/80194456/0/1006672/?72f79f7f=aHR0cHM6Ly9tYWlsbGlua3MucHVyZHVlLmVkdQ&01f4f553=MTcyODk0Njk3NA&b77777bc=NDg5OTMyMjk&e4eaa8c3=MTAwNjY3Mg&x=4504512d> View as a Web page<https://maillinks.purdue.edu/t/48993229/1728946974/108208701/0/1006672/?b44ed14b=YjU3MjFjNmEtY2MxZC00MDg1LTk3OTYtZGNlOTU1OTg1MWEx&9bc9e11f=MTAwNjY3Mg&bcd98c89=MjY4OTI3NTIzNjI&x=a7f535d8> [Purdue logo]<https://maillinks.purdue.edu/t/48993229/1728946974/63490351/0/1006672/?x=5becfe70> Davidson School of Chemical Engineering<https://maillinks.purdue.edu/t/48993229/1728946974/72334380/0/1006672/?x=e948c534> Faculty Candidate<https://maillinks.purdue.edu/t/48993229/1728946974/99262836/0/1006672/?x=30e95ebd> Dear All, On behalf of Purdue University's Davidson School of Chemical Engineering, we are pleased to announce an upcoming faculty candidate visit. Faculty participation in meetings with the candidate is strongly encouraged, as these interactions are an important part of our evaluation process. We kindly ask that all faculty sign up for a meeting time and indicate their availability, including interest in attending the faculty lunch, by completing the survey linked below no later than end of day Monday, January 19, 2026. Thank you in advance for your time and engagement in this process. Sincerely, ChE Main Office Team Click for Survey<https://maillinks.purdue.edu/t/48993229/1728946974/108208022/2/1006672/?x=9157c577> [https://mailimages.purdue.edu/purdue-chemical_engineering-davidson_school/38c96268a7781541b951d079e285ea4d.png]<https://maillinks.purdue.edu/t/48993229/1728946974/79579849/0/1006672/?x=3e32b530> Dr. Shengli (Bruce) Jiang Postdoctoral Associate Department of Chemical and Biological Engineering Princeton University Host: David Hibbitts Website<https://maillinks.purdue.edu/t/48993229/1728946974/108208023/0/1006672/?x=8401fe20> "Polymer Physics Meets Machine Learning: A Synergistic Approach to Complex Polymer Design" Thursday, January 22, 2026 9:00 a.m. - 10:45 a.m. ET FRNY 3059 Abstract: Polymers exhibit rich and tunable properties governed by their topological, compositional, and chemical complexity. However, navigating this vast design space to identify optimal materials remains a grand challenge. While artificial intelligence and machine learning have significantly advanced materials design, their application to polymers has been largely restricted to simpler systems, particularly linear polymers. Furthermore, the limited availability and heterogeneous nature of the requisite data continue to pose ongoing challenges for these computational methods. In this talk, Dr. Jiang will outline his recent efforts that combine simulation, machine learning, and polymer physics to navigate complex design spaces and reveal structure-property relationships. First, he will demonstrate how generative machine learning models can address combinatorial challenges in designing chain architectures with targeted conformational properties. Building on this, Dr. Jiang will present a physics-guided closed-loop learning framework that directs simulations to design viscosity-modifying polymers under shear flow. Finally, he will discuss neural network architectures that explicitly embed polymer physics principles, enabling improved transferability and reduced data requirements for predicting copolymer properties. 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