{"679923":{"#nid":"679923","#data":{"type":"event","title":"CSE Faculty Candidate Seminar - Ming Yin","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EMing Yin, Postdoctoral Associate from Princeton University\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, February 6, 2024 at 11:00 am\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Scheller College of Business, Room 200 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/32i1a9jczDQb5vJV7\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003ECoffee, drinks, and snacks provided!\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EReinforcement Learning at the Frontier: From Better AI Models to the Acceleration of Scientific Discovery\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E A central challenge in AI is steering complex systems toward desired outcomes\u2014whether in decision-making, aligning language models, or driving scientific discovery. As AI scales with big data and foundation models, reinforcement learning (RL) has emerged as a powerful framework for optimizing behavior through interaction and feedback. In this talk, I will present my research at the intersection of Reinforcement Learning and Artificial Intelligence. First, I will discuss my theoretical contributions that improve the existing understanding of foundational RL, providing optimal guarantees and practical insights. Building on this, I will introduce how RL principles underpin LLM alignment, illustrating how decoding can be framed as a policy optimization problem. Our method significantly enhances inference-time alignment, demonstrating state-of-the-art improvements validated by various metrics. Moving beyond language models, I will highlight CRISPR-GPT\u2014an AI agent that redefines precision in gene-editing research by integrating domain expertise, validated libraries, and computational tools. CRISPR-GPT automates end-to-end gene-editing workflows and, in a real-world case study, achieved 80% editing efficiency in A549 cells, significantly accelerating lung cancer research by eliminating months of trial-and-error. By bridging theory and practice, this talk aspires to spark a new wave of AI research that amplifies scientific exploration and societal benefits.\u0026nbsp; \u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EMing Yin is a postdoctoral associate in the Electrical and Computer Engineering Department at Princeton University. He holds dual PhDs in Computer Science and Statistics from the University of California, Santa Barbara. His research spans the theory, algorithms, and applications of machine learning and artificial intelligence, with a particular emphasis on reinforcement learning and generative AI. His work has been published in top venues such as NeurIPS, ICML, and ICLR, and with an oral presentation at AISTATS. Ming\u2019s contributions have earned multiple Rising Star Awards and recognition as a Best Paper Finalist at CVPR 2024. He has served as a senior program committee member for many leading machine learning conferences and as an area chair for NeurIPS and ICML. Beyond academia, he gained industry experience through two summers at Amazon AWS AI.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EMing Yin, Postdoctoral Associate from Princeton University\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, February 6, 2024 at 11:00 am\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Scheller College of Business, Room 200 (\u003Ca href=\u0022https:\/\/maps.app.goo.gl\/32i1a9jczDQb5vJV7\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EReinforcement Learning at the Frontier: From Better AI Models to the Acceleration of Scientific Discovery\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title: Reinforcement Learning at the Frontier: From Better AI Models to the Acceleration of Scientific Discovery"}],"uid":"36319","created_gmt":"2025-01-24 15:51:44","changed_gmt":"2025-02-03 18:37:54","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-02-06T11:00:00-05:00","event_time_end":"2025-02-06T12:00:00-05:00","event_time_end_last":"2025-02-06T12:00:00-05:00","gmt_time_start":"2025-02-06 16:00:00","gmt_time_end":"2025-02-06 17:00:00","gmt_time_end_last":"2025-02-06 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Scheller, Room 200","extras":["free_food"],"hg_media":{"676123":{"id":"676123","type":"image","title":"Ming Yin photo.jpeg","body":null,"created":"1737733953","gmt_created":"2025-01-24 15:52:33","changed":"1737733953","gmt_changed":"2025-01-24 15:52:33","alt":"CSE Faculty Candidate Seminar Ming Yin","file":{"fid":"259845","name":"Ming Yin photo.jpeg","image_path":"\/sites\/default\/files\/2025\/01\/24\/Ming%20Yin%20photo.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2025\/01\/24\/Ming%20Yin%20photo.jpeg","mime":"image\/jpeg","size":72858,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2025\/01\/24\/Ming%20Yin%20photo.jpeg?itok=TPOxXVbn"}}},"media_ids":["676123"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"654","name":"College of Computing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EMary High\u003Cbr\u003Emhigh7@gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}