Hi, I am CEO of NAM .INC and a PhD candidate from University of Tokyo. I am also a graduate of Keio University School of Medicine.
My research focuses on advancing machine learning and using these to transform health care.
My medical School is Keio University School of Medicine in Japan. I love coding very much.
Research Interests: Machine Learning for Health, Bioinformatics
T Nakano, K Ikeda. “Predicting Cancer Heterogeneity from One-shot Biopsy” ,2017, ICML(International Conference on Machine Learning) Workshop on Computational Biology PDF
T Nakano, K Ikeda. “Visualizing Cancer Heterogeneity with Dynamic Flow”, 2017, ICML(International Conference on Machine Learning) Workshop on Computational Biology PDF
R Sato, T Nakano et. al, “RNA Sequencing Analysis Reveals Interactions between Breast Cancer or Melanoma Cells and the Tissue Microenvironment during Brain Metastasis”, 2016, BioMed Research International Link
T. Nakano. “Generating Clinical Texts from Conversation”, 2016, Neural Information Processing Systems(NIPS), Machine Learning for Health PDF
T. Nakano. “Early Detection of Hepatorenal Syndrome from medical Records”, 2015, Neural Information Processing Systems(NIPS) Clinical Workshop PDF
T. Nakano. "Unsupervised Feature Detection For Medical Images", The 28th Annual Conference of the Japanese Society for Artificial Intelligence, 2014. PDF
Qspeech/ Video
2012.07~08: Research Intern at National Institute of Health(NIH), USA
2013.08~2014.07: Intern & Part-time Machine Learning Engineer at Preferred Infrastracture.Inc, Japan
2016.06~2017.03: 未踏事業 from IPA 独立行政法人 情報処理推進機構 / National Information-technology Promotion Agency, Japan
2017.08~2017.09: 未踏アドバンスド事業 from IPA 独立行政法 人 情報処理推進機構 / National Information-technology Promotion Agency, Japan
Japanese (native) / English (fluent) - TOEFL iBT(110/120) / Spanish (fluent)
Python(8 years), C++(6 years), Ruby(4 years/Ruby on Rails), R, MATLAB, Java