BEGIN:VCALENDAR VERSION:2.0 PRODID:-//wp-events-plugin.com//7.2.3.1//EN TZID:America/New_York X-WR-TIMEZONE:America/New_York BEGIN:VEVENT UID:0-7367@eng.ufl.edu DTSTART;TZID=America/New_York:20250225T124500 DTEND;TZID=America/New_York:20250225T134500 DTSTAMP:20251201T210444Z URL:https://www.eng.ufl.edu/news-events/events/mae-seminar-towards-an-inte grated-vision-of-molecular-environment-and-cellular-behavior-in-living-sys tems/ SUMMARY:MAE Seminar - Towards an Integrated Vision of Molecular Environment and Cellular Behavior in Living Systems DESCRIPTION:Dear Undergraduate and Graduate Students\, Faculty\, and Staff\ ,\nYou are invited! UF Department of Mechanical and Aerospace Engineering' s Seminar Series\nThis is a perfect opportunity to enjoy some coffee\, coo kies\, and captivating talks! These sessions feature amazing guest speaker s\, from academic trailblazers and industry movers to our very own faculty candidates showing off their expertise and fresh perspectives.\nCome for the treats\, stay for the engaging discussions\, and connect with fellow M AE enthusiasts. Everyone is welcome!\n \nTowards an Integrated Vision of M olecular Environment and Cellular Behavior in Living Systems\nFebruary 25\ , 2025\, at 12:50pm\, Location: MAE-A 303\n\nDr. Haleh Alimohamadi\npostdo ctoral researcher\nUniversity of California\, Los Angeles (UCLA)\n\nAbstra ct\nCells are the basic building blocks of life. The study of complex cell ular behavior has traditionally relied on breaking down phenomena into sma ller components to gain understanding. While this reductionist approach ha s yielded many successes (dating back to Aristotle)\, it often overlooks t he interconnectedness within the system. Artificial intelligence offers tr ansformative potential to reveal hidden interconnections between the multi factorial molecular environment and diverse cellular behaviors in both hea lthy and diseased states. Our approach involves designing integrative fram eworks that combine (1) interpretable artificial intelligence models for p redicting features and patterns\, (2) theoretical frameworks to understand physical principles\, and (3) high-throughput experiments for probing and manipulating cell-molecule interactions. We have successfully applied thi s approach to derive general rules for how microscopic interactions guide cellular functions\, from programmed cell death to reverse cholesterol tra nsport to innate immunity in viral infections. Together\, our physical and AI-driven approach can provide insights into the fundamental mechanisms u nderlying correlated physiological malfunctions\, inspiring the developmen t of novel therapeutic strategies that could transform the landscape of mo dern biomedicine.\n\nBiography\nDr. Haleh Alimohamadi is currently a postd octoral researcher at the University of California\, Los Angeles (UCLA)\, working with Prof. Gerard Wong to tackle complex problems in bioscience by integrating principles from physics\, biology\, and engineering. Her rese arch aims to uncover the correlations between molecular environments and c ellular behavior\, bridging molecular-scale machinery at the microscopic l evel with cellular functions at the mesoscopic level by employing multi-sc ale physical\, experimental\, and interpretable AI-driven frameworks. Dr. Alimohamadi earned her Ph.D. and M.S. in Mechanical Engineering from the U niversity of California\, San Diego (UCSD). Her research has been recogniz ed with several awards\, including the 2024 STAT Wunderkind Award\, the 20 24 William and Diane Spicer Young Investigator Award\, and the 2020 Siebel Scholar Award. She has also received the Distinguished PhD Student Fellow ship at UCSD and the NIH Postdoctoral Fellowship at UCLA.\n\nMAE Faculty H ost: Alison Dunn CATEGORIES:Seminars LOCATION:MAEA 303\, MAEA 303\, Gainesville\, United States X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=MAEA 303\, Gainesville\, Un ited States;X-APPLE-RADIUS=100;X-TITLE=MAEA 303:geo:0,0 END:VEVENT BEGIN:VTIMEZONE TZID:America/New_York X-LIC-LOCATION:America/New_York BEGIN:STANDARD DTSTART:20241103T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST END:STANDARD END:VTIMEZONE END:VCALENDAR