CV

Education

• B.S. in Pharmaceutical Sciences, The University of Tokyo, 2021
• M.S. in Pharmaceutical Sciences, The University of Tokyo, 2023
• Ph.D in Pharmaceutical Sciences, The University of Tokyo, 2026 (expected)

Work experience

• Preferred Networks, Inc. (Tokyo, Japan)
  • Aug.2023 - Sept.2023
  • Summer Internship

Skills

• Life sciences
• Programming language (Ordered by proficiency)
  • Python
  • R
  • Cython
  • C++
• Japanese (native), English (business)

Publications

Extraction of diverse gene groups with individual relationship from gene co-expression networks

Azuma, Iori, Tadahaya Mizuno, and Hiroyuki Kusuhara. "Extraction of diverse gene groups with individual relationship from gene co-expression networks." arXiv preprint arXiv:2112.01180 (2021).

NRBdMF: A Recommendation Algorithm for Predicting Drug Effects Considering Directionality

Azuma, Iori, Tadahaya Mizuno, and Hiroyuki Kusuhara. "NRBdMF: A recommendation algorithm for predicting drug effects considering directionality." Journal of Chemical Information and Modeling 63.2 (2023): 474-483.

Rat Deconvolution as Knowledge Miner for Immune Cell Trafficking from Toxicogenomics Databases

Morita, Katsuhisa, et al. "Rat deconvolution as knowledge miner for immune cell trafficking from toxicogenomics databases." Toxicological Sciences (2023): 2023-06.

Investigation of the usefulness of liver-specific deconvolution method by establishing a liver benchmark dataset

Azuma, Iori, et al. "Investigation of the usefulness of liver-specific deconvolution method by establishing a liver benchmark dataset." NAR Genomics and Bioinformatics (2024): 2024-03.

GLDADec: marker-gene guided LDA modelling for bulk gene expression deconvolution

Azuma, Iori, et al. "GLDADec: marker-gene guided LDA modelling for bulk gene expression deconvolution." Briefings in Bioinformatics (2024): 2024-07