{"684380":{"#nid":"684380","#data":{"type":"event","title":"PhD Proposal by Shu Gong","body":[{"value":"\u003Cp\u003EQuantitative Biosciences Thesis Proposal\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EShu Gong\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ESchool of Biological Sciences\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EData-Driven Modeling of Muscle Sensorimotor Physiological States\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate\u003C\/strong\u003E: Tuesday, September 16th\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETime\u003C\/strong\u003E: 12:00 PM - 2:00PM ET\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation\u003C\/strong\u003E: (in person) Room\u0026nbsp;210,\u0026nbsp;J. Erskine Love Jr. Manufacturing Building.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EOpen to the Community\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAdvisor:\u003C\/p\u003E\u003Cp\u003EDr. Gregory Sawicki\u0026nbsp;(School of Biological Sciences, School of Mechanical Engineering)\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ECommittee Members:\u003C\/p\u003E\u003Cp\u003EDr. Simon Sponberg (School of Biological Sciences, School of Physics)\u003C\/p\u003E\u003Cp\u003EDr. Hannah Choi (School of Mathematics)\u003C\/p\u003E\u003Cp\u003EDr. Aaron Young (School of Mechanical Engineering)\u003C\/p\u003E\u003Cp\u003EDr. Monica Daley (School of Biological Sciences, University of California, Irvine)\u003C\/p\u003E\u003Cp\u003EAbstract:\u003C\/p\u003E\u003Cp\u003EMuscles enable versatile, dynamic behaviors essential for survival, yet conventional models based on simplified assumptions fail to capture sensorimotor dynamics under unsteady or perturbed conditions. This proposal aims to develop generalizable, interpretable, data-driven muscle models that accurately estimate sensorimotor physiological states in real-world contexts. To achieve this, I will (1) develop a recurrent neural network\u2013based model of muscle force from muscle fiber data under systematically varied perturbations, (2) develop a human muscle length estimation model using a novel joint-level dataset that manipulates both internal motor commands and external environmental factors, and (3) develop a data-driven muscle spindle model trained on in vivo animal datasets, enhanced for interpretability and robustness through integration with biophysical models. Together, these aims will establish a new paradigm for modeling muscle sensorimotor physiological states, providing a foundation for next-generation human\u2013machine interfaces.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EData-Driven Modeling of Muscle Sensorimotor Physiological States\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Data-Driven Modeling of Muscle Sensorimotor Physiological States "}],"uid":"27707","created_gmt":"2025-09-03 17:19:06","changed_gmt":"2025-09-03 17:20:03","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-09-16T12:00:00-04:00","event_time_end":"2025-09-16T14:00:25-04:00","event_time_end_last":"2025-09-16T14:00:25-04:00","gmt_time_start":"2025-09-16 16:00:00","gmt_time_end":"2025-09-16 18:00:25","gmt_time_end_last":"2025-09-16 18:00:25","rrule":null,"timezone":"America\/New_York"},"location":" Room 210, J. Erskine Love Jr. Manufacturing Building","extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"102851","name":"Phd proposal"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}