•Published 29 peer-reviewed scientific articles to-date (H index = 11; i10 index = 12)•Directing independent research projects as principal investigator (PI) with funding from MEXT, AMED, NVIDIA Corporation etc. in exploring epigenomic changes in cancer with PlaidML and TensorFlow-based Python deep learning frameworks•Supervised M.S. and Ph.D students from affiliated university for thesis research•Established, built out and acting as Linux system administrator of the institute's first high-performance computing (HPC) facility with NVIDIA Ampere class GPUs for genomics and artificial intelligence (AI) research in cancer medicine

•Performed and assisted in statistical analysis in epidemiological studies for biomarker research•Developed analytical platforms for genomics-based drug discovery approach•Acquired research funding from MEXT to utilize machine learning algorithms such as random forests to characterize effects of synthetic compounds as drug candidates for colon cancer

•Developed tools in R, Perl and C for analyzing short-read next-generation sequencing (NGS) data•Designed pipelines for processing and analyzing Ion Torrent NGS data for mutation calling, copy number variations, etc. with bioinformatics tool such as BWA, GATK, etc.•Performed self-directed research projects funded by grants from JSPS (as principal investigator) by machine learning for drug discovery