Yuta Hozumi

yhozumi3[at]gatech[dot]edu

Yuta.jpg

School of Mathematics

Georgia Institute of Technology

686 Cherry St NW, 024

Atlanta, GA 30332

I am currently a Hale Visiting Assistant Professor at the School of Mathematics at Georgia Institute of Tecnology. I am working with Prof. Christine E. Heitsch on RNA secondary structure prediction. I obtained my Ph.D. from the Department of Mathematics at Michigan State University under the supervision of Prof. Guo-Wei Wei.

My methodological research focuses on the development of mathematical tools for analyzing genome data, including RNA molecules, proteins, single cell RNA sequencing, etc. In Single cell RNA sequencing, I develop dimensionality reduction methods for downstream analysis, such as trajectory analysis, cell-cell interaction and differential gene expression. In genomic analysis, I am integrating topological data analysis tools to analyze the shape of the DNA sequences. I have recently begin utilizing applied combinatorics to determine consensus secondary RNA structure from homologous RNA structures.

Research Interests

  • DNA/RNA sequence analysis
  • Single Cell Omics Data
  • Dimensionality Reduction
  • Data Visualization
  • Computational Topology and Geometry
  • Machine Learning and Deep Learning

Recent/Upcoming Events

10/21/2024-10/25-2024: I am attending the SIAM Mathemtics of Data Science in Atlanta. I will have a poster on Tuesday and Wedensday. I am also hosting a session titled Integrating Topological Data Analysis and Data Science with Biological Applications

10/01/2024: I recently had my paper titled CCP-assisted UMAP and tSNE for scRNA-seq data analyis in PLOS ONE

Selected Publications

  1. UMAP-assisted K-means clustering of large-scale SARS-CoV-2 mutation datasets
    Yuta HozumiRui Wang, Changchuan Yin, and 1 more author
    Computers in biology and medicine 2021
  2. Ccp: Correlated clustering and projection for dimensionality reduction
    Yuta HozumiRui Wang, and Guo-Wei Wei
    arXiv preprint arXiv:2206.04189 2022
  3. Preprocessing of single cell RNA sequencing data using correlated clustering and projection
    Yuta Hozumi , Kiyoto Aramis Tanemura, and Guo-Wei Wei
    Journal of chemical information and modeling 2023
  4. Analyzing single cell RNA sequencing with topological nonnegative matrix factorization
    Yuta Hozumi , and Guo-Wei Wei
    Journal of Computational and Applied Mathematics 2024
  5. Analyzing scRNA-seq data by CCP-assisted UMAP and t-SNE
    Yuta Hozumi , and Guo-Wei Wei
    PLOS One 2024