My research focuses on high-dimensional statistical analysis, with interests extending beyond theoretical development to applications involving real-world data and decision-making processes.
I host a podcast titled “Data Science LG: Learning Together in Statistics and Data Science”, where we explore topics such as statistics, machine learning, and academic careers from the perspective of students and researchers. The podcast is available on Apple Podcast, Spotify, YouTube, and Amazon Music. For more details, please see the Community / Podcast section below.
I share my research findings and code on GitHub, and post about education, research, and personal experiences on note.
I am also involved in advocacy to raise awareness about hematopoietic stem cell transplantation, sharing my experience as a donor and promoting donor registration through talks and outreach activities. Through these efforts, I aim to help bridge the gap between healthcare and society.
Keywords
Table of Contents
Skill
Speech
Sho Sakai, Kazuyoshi Yata, and Makoto Aoshima, “Hypothesis testing for PCR coefficients in high-dimensional data”, The Mathematical Society of Japan Annual Meeting, Tokyo, Japan, Oral Presentation, March 21, 2025.
View ProgramSho Sakai, “Hypothesis testing for PCR coefficients in high-dimensional data”, Seminars by Alumnae/Alumni of Kagoshima University on their Recent Achievements 2025, Kagoshima, Japan, Oral Presentation, March 11, 2025.
View ProgramEducation
University of Tsukuba
Ph.D. in Mathematics, Graduate School of Science, Degree Programs in Pure and Applied Sciences
Advisor: Aoshima Laboratory
University of Tsukuba
M.Sc. in Mathematics, Graduate School of Science, Degree Programs in Pure and Applied Sciences
Advisor: Aoshima Laboratory
Kagoshima University
B.Sc. in Mathematics and Informatics, Faculty of Science, Mathematics and Informatics Program
Advisor: Yoshida Laboratory (2022–2023)
Experience
Next-Generation AI Human Resource Development Program Fellow — JST BOOST initiative, University of Tsukuba
Selected for the University of Tsukuba's Next-Generation AI Talent Development Program. This initiative, part of a national strategy to foster doctoral students, supports 600 students across Japan. The University of Tsukuba has a quota of 12 students, and I was chosen as one of them through a highly competitive internal selection process. Receiving support for living expenses and research funds, I am able to fully dedicate myself to theoretical and applied research in high-dimensional statistics. I plan to actively pursue collaborations with fields such as bioinformatics, materials science, and astronomy.
Chair & Technical Assistant — User Committee, Department of Mathematics, University of Tsukuba
Appointed chair and technical assistant of the graduate student user committee for computing services, supporting computational infrastructure and student system administration.
International Symposium Staff — International Symposiums on Large Complex Data
Contributed to the 2023 International Symposium on Recent Advances in Theories and Methodologies for Large Complex Data and the 2024 International Symposium on Theories, Methodologies and Applications for Large Complex Data. Reported each activity on LinkedIn.
Staff, Mathematics Trial Program — University of Tsukuba
Served as staff for the undergraduate mathematics experience program in July 2023 and July 2024.
Intern
Research Assistant
University laboratory
Oct. 2023 - Nov. 2024
Award
Community / Podcast
2024 -
I lead the design and management of study group templates, including topics such as multivariate analysis, reinforcement learning, Gaussian processes, and Bayesian deep learning. I also participate in the practical machine learning study group.
I host a podcast titled 'Data Science LG: Learning Together in Statistics and Data Science', where we explore topics such as statistics, machine learning, and academic careers from the perspective of students and researchers. The podcast is available on Spotify, Apple Podcast, YouTube, and Amazon Music.
For an overview of our podcast activities and related information, please visit the Notion page below:
2024 -
I am a general member of this graduate student community and started a podcast initiative within the group.
Outreach / Public Engagement
I engage in activities to share information about hematopoietic stem cell transplantation and promote donor registration. If you're interested in inviting a speaker or organizing a promotional booth about the Japan Marrow Donor Program at your school, university, or organization, please reach out. We can coordinate with the Japan Marrow Donor Program directly. To increase the number of young bone marrow donors, I believe it is important to share the voices of those who have actually donated and their families.
(May 28, 2025) Published a summary of bone marrow transplantation and bone marrow bank related podcasts
(May 11, 2025) Participated in Health Festival to promote awareness of hematopoietic stem cell transplantation
(Apr. 23, 2025) "Voices of Donor Families" featured
(Dec. 15, 2024) Gave a talk at the 'Egao Japan Marrow Donor Program Student Seminar'
(Dec. 2024) Interviewed by the Japan Marrow Donor Program on my donation experience and featured in their newsletter
(Nov. 27, 2024) The Japan Marrow Donor Program was registered as a T-ACT community group at the University of Tsukuba
(Nov. 6, 2023) Published a report on bone marrow donation experience and related information
Teaching Assistant
Qualification / Test Score
Japanese High School Teacher’s License (Information & Mathematics)
Mar. 2023
Japanese Junior High School Teacher’s License (Mathematics)
Mar. 2023
Mar. 2022
Academic Society
Portfolio
Master's Thesis / Hypothesis testing for PCR coefficients in high-dimensional data (JSS NEWS)
Introduced in JAPAN STATISTICAL SOCIETY NEWS (April 20, 2025, No.203, Section 9: p.15).
Master's Thesis / Hypothesis testing for PCR coefficients in high-dimensional data (Mathematics Communication)
Featured in Mathematical Society of Japan's 'Mathematics Communication' (Volume 30, No.1, May 2025) in the section '2024 Master's and Doctoral Theses'.
Graduation Thesis / Asymptotic Theory of Principal Component Analysis
Related repository link available above.
Asymptotic Theory of PCA
R code and mathematical notes on asymptotic properties of PCA under large-sample settings.
T.W. Anderson (2003) PCA Confirmatory Analysis
Reimplementation of confirmatory PCA methods from Anderson's 2003 paper.
T.W. Anderson (2003) Hypothesis Testing
Reproduction of hypothesis testing framework for PCA from Anderson (2003).
Principal Component Analysis
Notebooks to demonstrate PCA using both synthetic and real-world data. Implementations are available in Jupyter (Python) and R.
Conditional Probability and Multiplication Theorem
A TeX document that explains the relationship between conditional probability and multiplication rule.
PRML with Python
Selected implementations and exercises based on 'Pattern Recognition and Machine Learning' (Bishop).
Causal Inference
Jupyter notebooks exploring potential outcome frameworks and causal graphs.
Programming with R, C, and Python
Introductory examples in multiple languages for basic computational logic and syntax.
Transformation of Matrix
Utility scripts and explanations for matrix operations and transformations.