Mihir Bafna

I am a Computer Science major at Georgia Tech in the BSMS program specializing in the Intelligence and Theory threads.

My research interests lie at the intersection of machine learning and structural biology, specifically with generative modeling. Additionally, I continue to be excited by advances in single cell genomics and how graph representation learning can be used to make inferences.

I am fortunate to have been advised by Xiuwei Zhang (Georgia Tech), Jian Ma / Ruochi Zhang (CMU), and Bonnie Berger (MIT).

selected publications

  1. DiffRNAFold
    NeurIPS MLSB
    DiffRNAFold: Generating RNA Tertiary Structures with Latent Space Diffusion
    Mihir Bafna, Vikranth Keerthipati, Subhash Kanaparthi, and Ruochi Zhang
    In NeurIPS Workshop on Machine Learning for Structural Biology (NeurIPS MLSB) Dec 2023
  2. Clarify
    CLARIFY: Cell-cell interaction and gene regulatory network refinement from spatially resolved transcriptomics
    Mihir Bafna, Hechen Li, and Xiuwei Zhang
    ISMB and Bioinformatics Jun 2023
  3. DeepVifi
    DeepViFi: Detecting Oncoviral Infections in Cancer Genomes Using Transformers
    Utkrisht Rajkumar, Sara Javadzadeh,  Mihir Bafna, Dongxia Wu, Rose Yu, Jingbo Shang, and Vineet Bafna
    In Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics (ACM-BCB) Jun 2022
  4. MetaDetect
    Computer-implemented methods for quantitation of features of interest in whole slide imaging
    Nam Nguyen, Lorena Mora-Blanco, Kristen Turner, Julie Weise, Jason Christiansen, and Mihir Bafna
    Provisional patent. PCT/US2021/022308 Mar 2021