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Xingcheng Lin
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Xingcheng Lin

@XingchengLin
Assistant Professor at North Carolina State University
Raleigh, NC
lingroup.wordpress.ncsu.edu
Joined July 2013
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  • user avatar
    Xingcheng Lin
    @XingchengLin
    Aug 4
    Our research group at NC State is recruiting a postdoctoral scholar in AI for biomolecular science, computational simulation, or both. Please help share! jobs.ncsu.edu/postings/233404 #Postdoc #AI4Science #ComputationalBiophysics
    jobs.ncsu.edu
    Postdoctoral Research Scholar
    The Physics Department provides: (1) High quality Physics instruction to the University community through courses in introductory physics; (2) educational opportunities for undergraduate and graduate...
  • user avatar
    Xingcheng Lin
    @XingchengLin
    May 31
    Today, we say goodbye to Thomas Thornton. Thomas is the first undergraduate to graduate from our group. He developed a GPU-accelerated RNA simulation platform (biorxiv.org/content/10.648…), received McCormick Outstanding Research Award, and will begin PhD at Northwestern University.
  • user avatar
    Xingcheng Lin
    @XingchengLin
    May 27
    I am incredibly excited and grateful for the support from the NSF CAREER Award, and we look forward to bringing new science and discoveries to our community!
    user avatar
    NC State Physics and Astronomy
    @ncstatephysics
    May 26
    Congratulations to @XingchengLin on receiving an #NSF CAREER Award! 🎉 Using #AI and physics-based simulations, this project will uncover how epigenetic changes shape DNA organization and gene regulation—advancing our understanding of genome function and human disease.
  • user avatar
    Xingcheng Lin
    @XingchengLin
    Nov 17, 2025
    Glad to share our latest work on DNA methylation prediction, focusing on position-specific methylation sensitivity and genomic protein-DNA binding.
    biorxiv.org
    mIDEA: An Interpretable Structure–Sequence Model for Methylation-Dependent Protein–DNA Binding...
    DNA methylation dynamically reshapes protein–DNA interaction landscapes, yet the mechanistic principles governing methylation-dependent recognition remain incompletely understood. Currently, there is...
  • user avatar
    Xingcheng Lin
    @XingchengLin
    Sep 19, 2025
    Excited to share our latest pre-print on predicting protein-RNA interactions! We present a biophysics-inspired machine learning framework that predicts sequence-specific binding and identifies strong-binding RNA motifs.
    biorxiv.org
    IRIS Integrates Sparse Sequence, Experimental, and AI-Predicted Structures for Protein-RNA Affinity...
    Protein–RNA interactions are fundamental to numerous cellular processes, yet quantitatively characterizing their binding specificity remains a major challenge. We present IRIS (Integrative RNA–prot...

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