{"id":49377,"date":"2025-03-12T12:35:33","date_gmt":"2025-03-12T16:35:33","guid":{"rendered":"https:\/\/engineering.jhu.edu\/chembe\/?post_type=tribe_events&#038;p=49377"},"modified":"2025-03-13T12:25:52","modified_gmt":"2025-03-13T16:25:52","slug":"seminar-series-wenhao-gao","status":"publish","type":"tribe_events","link":"https:\/\/engineering.jhu.edu\/chembe\/event\/seminar-series-wenhao-gao\/","title":{"rendered":"Seminar Series: Wenhao Gao"},"content":{"rendered":"<p><strong>Title: <\/strong><\/p>\n<p>Toward Efficient and Synthesizable In-silico Molecular Design<\/p>\n<p><strong>Abstract: <\/strong><\/p>\n<p>The discovery of functional molecules plays a fundamental role in advancing chemical science and engineering, yet it remains a costly and time-intensive process. Recent advances in computational methods, particularly in generative artificial intelligence, have introduced a new approach\u2014generative molecular design\u2014which holds the promise of efficiently identifying molecules with desired properties. However, despite significant progress, their practical impact in real-world applications has been limited. In this talk, I will present our efforts to address critical bottlenecks in generative molecular design, namely synthetic accessibility and sample efficiency. I will present the development of benchmarks that capture real-world complexity and the development of chemistry-tailored solutions to enhance the practicality of generative algorithms. Taken together, these advances aim to close the gap between computational innovation and practical feasibility, paving the way for the accelerated, AI-driven discovery of novel functional molecules.<\/p>\n<p><strong>Bio: <\/strong><\/p>\n<p>Wenhao Gao is a Ph.D. candidate in Chemical Engineering at the Massachusetts Institute of Technology, advised by Professor Connor W. Coley. His research focuses on developing generative artificial intelligence methods to accelerate the discovery of small organic molecules for pharmaceutical applications. Wenhao\u2019s long-term vision is to create systematic molecular design methodologies that enable the discovery of novel functional molecules at scale, advancing diverse applications that benefit society. He has been recognized with numerous honors, including the Google PhD Fellowship, Takeda Fellowship, D. E. Shaw Research Fellowship, CAS Future Leaders Top 100 recognition, and the ACS CINF Scientific Excellence Award.<\/p>\n<p><strong>10:00am, Shaffer 3<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Title: Toward Efficient and Synthesizable In-silico Molecular Design Abstract: The discovery of functional molecules plays a fundamental role in advancing chemical science and engineering, yet it remains a costly and&hellip;<\/p>\n","protected":false},"author":81,"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":[764],"class_list":["post-49377","tribe_events","type-tribe_events","status-publish","hentry","tribe_events_cat-seminars-and-lectures","cat_seminars-and-lectures"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - 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