CV

General Information

Full Name Yuta Hozumi
Languages English, Japanese
CV PDF Full form of CV can be viewed here

Employment

  • 08/2024 - Current
    Hale Assitant Professor
    Georgia Institute of Technoloy, Atlanta, GA

Education

  • 09/2018 - 05/2024
    Ph.D. in Applied Mathematics
    Michigan State University, East Lansing, MI
    • Dissertation title Topological Representation and Dimensionality Reduction of Single Cell RNA Sequencing and Viral Phylogenetic Data
    • Advisor Prof. Guowei Wei
  • 09/2014 - 07/2018
    B.Sc.
    Case Western Reserve University, Cleveland, OH
    • Applied Mathematics

Experience

  • 05/2020 - 07/2024
    Research Assistant
    Michigan State University, East Lansing, MI
  • 08/2018 - 05/2020
    Teaching Assistant
    Michigan State University, East Lansing, MI
  • 01/2016 - 05/2018
    Undergraduate Researcher, Mathematics Department
    Case Western Reserve University, Cleveland, OH
  • 01/2016 - 05/2018
    Undergraduate Researcher, Physics Department
    Case Western Reserve University, Cleveland, OH

Website Developed

  • 2020
    MutationTracker
    • An interactive website for tracking SARS-CoV-2 mutations.
  • 2021
    MutationAnalyzer
    • An interactive website for analyzing Spike protein RBD mutations.

Honors and Awards

  • 01/2023
    • College of Natural Science Completion Fellowship
  • 10/2022
    • Women in Mathematics Travel Award
  • 04/2020
    • Hertert T. Graham Scholarship Award
  • 05/2017
    • SOURCE Summer Research Grant
  • 07/2017
    • Research Education for Undergraduate (REU)

Research Interests

  • Single Cell Omics Data
    • Downstream analysis, Differential Gene Expression (DGE), Cell-Cell Communication, Spatial-Temporal analysis, Multi-omics analysis, Clustering and Visualization
  • Dimensionality Reduction
    • Correlated Clustering and Projection (CCP), Nonnegative matrix factorization (NMF), Principle Components Analysis, Deeplearning based dimensionality reduction (Transformers, Convolutional Neural Network), UMAP, t-SNE
  • Data Visualization
    • Residue Similarity Plots, Vector Field Analysis, Anisotropic Motion, 3D molecular visualization
  • Computational Topology and Geometry
    • Persistent Spectral Graph, Hessian Analysis, Curvature, Differential Geometry
  • Machine Learning
    • Convolution neural network(CNN); U-Net; Long Short Term Memory network (LSTM); Gated Recurrent Units (GRU); Multitask learning; Transfer learning; AutoEncoder; Generative Adversarial Network (GAN); Clustering

Programming Languages

  • Python, R, MATLAB, C++

Molecular Visualization and Computer Graphics Softwares

  • VMD, PyMOL, ChimeraX