BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//UNIFY
BEGIN:VTIMEZONE
TZID:America/New_York
X-LIC-LOCATION:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE

BEGIN:VEVENT
UID:https://events.ucf.edu/event/4223705/colloquium-by-professor-libin-rong-university-of-florida/
DTSTAMP:20261012T153000
DTSTART:20261012T153000
DTEND:20261012T163000
LOCATION:MSB 318: Mathematical Sciences Building, Room 318

SUMMARY:Colloquium by Professor Libin Rong, University of Florida
URL:https://events.ucf.edu/event/4223705/colloquium-by-professor-libin-rong-university-of-florida/
DESCRIPTION:Our [Colloquium](https://sciences.ucf.edu/sdmss/colloquium/) series offers a diverse platform for research scholars, faculty, students, and industry experts to share and exchange ideas, fostering discussion and networking across mathematics, statistics, and data science.\n\nProfessor [Libin Rong](https://people.clas.ufl.edu/libinrong/) from University of Florida will speak at this week's colloquium on "From Drug Action to Disease Spread: Multiscale Models of Viral Infection and Treatment."\n\nAbstract:  Viral infection and antiviral therapy involve processes operating across multiple biological and temporal scales, from drug action and intracellular viral replication to within-host dynamics and transmission between hosts. Mathematical models that connect these scales can reveal mechanisms that are difficult to identify from single-scale models alone. In this talk, I will discuss examples involving HIV, hepatitis C virus (HCV), and SARS-CoV-2. These models link pharmacokinetics and pharmacodynamics to HIV treatment and resistance, intracellular viral replication to HCV kinetics under therapy, and within-host SARS-CoV-2 dynamics to population-level transmission. These examples illustrate how multiscale modeling, combined with data and mathematical analysis, can improve our understanding of viral infection and help evaluate treatment strategies.\n\nSpeaker Bio: Libin Rong is Professor and Chair of the Department of Mathematics and Courtesy Affiliate Professor in the Department of Biostatistics at the University of Florida. He received his B.S. in Mathematics (2000) and M.S. in Applied Mathematics (2003) from Fudan University in Shanghai, and his Ph.D. in Applied Mathematics from Purdue University in 2007. His research lies at the interface of mathematics, biology, and medicine, with a focus on mathematical and computational modeling of viral infections and infectious diseases. His work includes studies of drug resistance, immune responses, pharmacokinetics/pharmacodynamics, and multiscale processes, combining mathematical analysis, computation, and experimental or clinical data to understand disease mechanisms and treatment responses.
END:VEVENT

END:VCALENDAR