Yuta Hozumi

I am currently on the job market!

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

My interest lies in geometric data analysis, where I extract topological and geometrical features from complex biological dataset, such as noisy large gene-expression matrix, genomic sequence, and molecular structures. The goal is to extract interpretable (both in terms of mathematically and biologically), so that these complex data can be compared, giving insight to biological process, such as disease prognosis, predicting folding, and understanding viral evolution.

Recent/Upcoming Events

• I am giving a talk at the upcoming AMS southeastern sectional and SIAM Texas-Louisiana Sectional.
• I am giving a talk at the upcoming SIAM Mathematics of Data science
• Nicole Hayes (U. Mich) and I are organizing a special session at JMM 2027. We have a wide range of topic dealing with complex biological data and mathematical modeling.
• Excited to announce that my postoc mentor (Christine Heitsch), Svetlana Poznanovikj (Clemson) and I recently got our paper on RNA folding prediction accepted to Biophysical Journal.