John Nardini
@biomathnard
Data-driven modeler w/ interests in cell biology and cancer
Assistant Professor of Mathematics at @TCNJ @TCNJMathStat
Pronouns: He/him/his
ID: 2919745939
https://nardini.pages.tcnj.edu/ 05-12-2014 14:45:35
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New blog up on the Math Mentoring Network blog today by Annamarie Leske bit.ly/3CJ2Lx2 Please share with any students applying for REUs this summer. Annamarie has great tips on how to make your application stand out!!
We are excited to announce our special issue "Data-driven Methods for Biological Modeling" is now open for submissions in #BiolMathBiol SMB - Society for Mathematical Biology Description Right pointing backhand index tinyurl.com/4csswd3p Deadline to submit: November 22, 2022 1/2
We are pleased to 📢 announce the 2023 Society for Mathematical Biology award winners, including Ivana Bozic , Santiago #Schnell, Trachette Jackson , Chengyue #Wu, Paul Macklin , Sara Hamis, Elijah #Counterman, @111Hels & Fellows Siv #Sivaloganathan, Flasheff & Richard #Bertram.
Check out our minisymposia at #SIAMLS22 on #DataDriven modeling in room 324 on Wednesday morning & afternoon! Great talks on TDA, deep learning, equation learning, collective dynamics and more!! Organized with @v_ciocanel and Alexandria Volkening
Our next colloquium speaker is Lucy Martinez Lucy Martinez from Rutgers! Lucy will present on "The Power of Computation" on Wednesday, Oct 18 from 11 - 12 in P229, and on Zoom. Don't miss it!
Looking forward to the final day of KSMB-SMB2024! If you have some energy left come along to our minisymposium on collective migration for exciting talks from Valeria , Ryan Murphy , Carles Falcó , C Venkata Sai Prasanna and John Nardini ! #smb2024 #ksmb2024
Check out this recent paper in #BulletinMathBio by John Nardini on Forecasting and Predicting Stochastic Agent-Based Model Data with Biologically-Informed Neural Networks. link.springer.com/article/10.100…
Check out also her latest work with Alexandria Volkening and John Nardini on topological approaches to quantify patterns in zebrafish 📰doi.org/10.48550/arXiv…