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CATEGORIES:Academics,Natural & Applied Sciences Division,Mathematics and St
 atistics
DESCRIPTION:“A connubio of Machine Learning and PDEs for Scientific Discove
 ry in the Biological Sciences”  by Alessandro Selvitella\, PhD\, Assistant 
 Professor in Mathematics Sciences\,  Purdue University. \n\n\nIn this talk\
 , I will concentrate on problems that necessitate scientific domain knowled
 ge and a combination of tools from differential equations and machine learn
 ing to be solved. In particular\, I will outline some results on problems e
 merging in biomechanics\, neuroscience\, and infectious disease dynamics th
 at benefit from different combinations of methods\, such as optimization\, 
 asymptotic analysis\, stability theory\, and transfer learning.\n\n\nBio: A
 lessandro Maria Selvitella received a BSc and an MSc in Mathematics from Un
 iversita’ degli Studi di Milano (Milan\, Italy)\, \na PhD in Mathematical A
 nalysis from SISSA (Trieste\, Italy)\, an MSc and a PhD in Statistics from 
 McMaster University (Hamilton\, Canada). Alessandro has been a Postdoctoral
  Fellow in Applied Mathematics at McMaster University and he has been a Pos
 tdoctoral Fellow in the Departments of Psychiatry and Computing Science at 
 the University of Alberta. Alessandro is currently an Assistant Professor i
 n the Department of Mathematical Sciences at Purdue University Fort Wayne. 
 Alessandro’s current research interests are in \nthe theory and application
 s of Machine Learning methods to the Biological and Medical Sciences. Aless
 andro received\, among \nthe others\, two Faculty Enhanced Research Appoint
 ments from Purdue (first ever at PFW in 2024) and a Seed for Success Award 
 in 2024. He is an Editorial Board member of Nature Scientific Reports and C
 hief Scientist and Founder of the Laboratory of \nData Science at Purdue Un
 iversity Fort Wayne.
DTEND:20250306T170000Z
DTSTAMP:20260412T161956Z
DTSTART:20250306T160000Z
GEO:42.787605;-86.103684
LOCATION:Graves Hall\, Winants Auditorium
SEQUENCE:0
SUMMARY:Mathematics & Statistics Colloquium
UID:tag:localist.com\,2008:EventInstance_48897802288640
URL:https://calendar.hope.edu/event/mathematics-statistics-colloquium-7334
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