M.S. in Data Science, University of Colorado Boulder
Boulder, CO, USA · Conferred May 2026
Economist
I am an Economist in the Research and Statistics Department at the Bank of Japan. My current work analyzes economic conditions through large-scale text analysis using generative AI and retrieval-augmented generation (RAG). My earlier experience and continuing interests span financial data analytics, agent-based simulation, NLP with large language models, and machine learning for clinical and healthcare data. I am passionate about bridging rigorous quantitative methods with real-world economic, policy, and healthcare questions.
M.S. in Data Science, University of Colorado Boulder
Boulder, CO, USA · Conferred May 2026
M.Eng. in Engineering, University of Tokyo
GPA: 4.0/4.0 · Thesis: Simulation analysis of bank network stabilization by liquidity risk management
B.Eng. in Engineering, University of Tokyo
Thesis: An analysis of policies for the stabilization of interbank network using agent-based simulation
Sone, T. (2025). Wage sentiment indices derived from survey comments via large language models. In Proceedings of the 2025 IEEE International Conference on Big Data (IEEE BigData 2025), Macau, China, December 8–11, 2025.
Sone, T., Izumi, K., Sakaji, H., Matsushima, H., and Shimada, T. (2019). Simulation analysis of bank network stabilization by liquidity risk management. In Proceedings of the 22nd Meeting of the Special Interest Group on Financial Informatics (SIG-FIN), the Japanese Society for Artificial Intelligence (JSAI), Seikei University, Tokyo, Japan, March 3, 2019.
Yonenoh, H., Sone, T., and Izumi, K. (2017). An analysis of policies for the stabilization of interbank network using agent-based simulation. In Proceedings of the 31st Annual Conference of the Japanese Society for Artificial Intelligence (JSAI), WINC AICHI, Aichi, Japan, May 23–26, 2017.
Sone, T., Rau, N., Bastias, A. G., Chastain, D. B., and Henao-Martínez, A. F. (2026). Corticosteroid dose-response and invasive candidiasis risk in a large real-world EHR cohort. Accepted for poster presentation at IDWeek 2026, Washington, DC, USA, October 21–24, 2026.
Rau, N., Haluza, M., Sone, T., Edwards, B., Chastain, D. B., Thompson, G. R. III, and Henao-Martínez, A. F. (2026). Body temperature at the time of candidemia diagnosis and its association with short-term mortality. Accepted for poster presentation at IDWeek 2026, Washington, DC, USA, October 21–24, 2026.
Rehring, J., Morris, L. M., Cuddy, Q. J., Chittathoor, A., Mantha, A., Van Hook, R., Jurica, J., Fling, C., Sone, T., Sampath, A., Chastain, D. B., Bastias, A. G., Rhoads, S., Maloney, J., and Henao-Martínez, A. F. (2026). Risk factors for Pneumocystis jirovecii pneumonia (PJP) in non-HIV, non-hematopoietic cell transplant hospitalized adults: a case-control study. Accepted for poster presentation at IDWeek 2026, Washington, DC, USA, October 21–24, 2026.
Sone, T., Henao-Martínez, A. F., Chastain, D. B., Chiu, C.-Y., and Bastias, A. G. (2026). Machine learning identifies 1,3-β-D-glucan as the strongest prediagnostic predictor of Pneumocystis jirovecii pneumonia. Accepted for poster presentation at the Mycoses Study Group Education and Research Consortium (MSGERC) 2026 Biennial Meeting, Omni Interlocken Hotel, Denver, CO, USA, September 9–11, 2026.
Sone, T., Chastain, D. B., Bastias, A. G., and Henao-Martínez, A. F. (2026). Corticosteroid prescription burden and subtype-specific invasive fungal infection risk: a dual-cohort EHR analysis. Accepted for poster presentation at the Mycoses Study Group Education and Research Consortium (MSGERC) 2026 Biennial Meeting, Omni Interlocken Hotel, Denver, CO, USA, September 9–11, 2026.
Sone, T., Henao-Martínez, A. F., Chastain, D. B., Chiu, C.-Y., Poveda, L. V., Giacobbe, D. R., Agudelo Higuita, N. I., and Bastias, A. G. (2026). Machine learning identifies serum 1,3-β-D-glucan as the strongest pre-diagnostic predictor of Pneumocystis jirovecii pneumonia in a federated EHR cohort. Under review at the Journal of Infectious Diseases.
Bastias, A. G., Diaz, S., Ryan, X., and Sone, T. (2026). Income support, consumer spending, and reported domestic violence during the COVID-19 pandemic: weekly evidence from Colorado. Under review at the Journal of Family Violence.
Maehashi, K., Miyakawa, D., Sasaki, T., and Sone, T. (2025). Skewed interest rate expectations and effects of central banks' market operations: empirical findings using granular transaction data. Bank of Japan Working Paper Series No. 25-E-7. Under review at the Review of Monetary and Financial Studies.
Miyakawa, D., Oda, T., and Sone, T. (2023). Regulatory reforms and price heterogeneity in an OTC derivative market. Bank of Japan Working Paper Series No. 23-E-12.
Graduate Researcher (ML Models), indi-AI — University of Colorado Boulder & Anschutz
Developing machine learning models for infectious disease research as part of the indi-AI initiative, a cross-campus collaboration between CU Boulder and CU Anschutz. Work includes predictive modeling for invasive fungal infection risk, COVID-19 vs. streptococcal pneumonia classification, and PCP/PJP case-control classification.
Graduate Researcher, University of Colorado Boulder
Conducted empirical analysis on the relationship between domestic violence (DV), COVID-19 lockdowns, mobility restrictions, and the slowdown of economic activity in Colorado.
Researcher, Bank of Japan
Conducting empirical research at the Bank of Japan in collaboration with academic and central-bank economists. Earlier work used interest rate swap data to assess regulatory impacts and monetary policy transmission.
Graduate Researcher, University of Tokyo
Developed agent-based simulations to evaluate interbank liquidity stress and regulatory effects, culminating in a master's thesis and academic presentation.
Research Intern, Mitsubishi UFJ Trust Investment Technology Institute
Earned academic credit through a two-week internship focused on financial data analysis and machine learning applications, culminating in a final presentation titled "Predicting Short-Term Order Patterns Using Machine Learning."
Undergraduate Researcher, University of Tokyo
Simulated financial contagion in interbank networks and evaluated stabilization policies; results were compiled in a bachelor's thesis and presented at a conference.
Economist, Bank of Japan
Economist in the Research and Statistics Department (since May 2026), following the completion of an M.S. in Data Science at the University of Colorado Boulder (on study leave, 2024–2026). Current work centers on analyzing how exchange-rate pass-through to domestic prices differs depending on the underlying driver of the currency movement, alongside developing and applying large-scale text analysis methods using generative AI and retrieval-augmented generation (RAG) to support economic analysis. Former roles (Associate): Financial Markets Department; Payment and Settlement Systems Department; Kagoshima Branch. Work included OTC-derivatives analytics, payment-system stability simulations, regional economic research, and contributions to international central-bank meetings.
Teaching Assistant — Data Mining, University of Colorado Boulder
Teaching Assistant — Data Structures and Algorithms, University of Colorado Boulder
Teaching Assistant - Strategic Management of Technology, University of Tokyo
Teaching Assistant (JICA Internship) - National University of Timor-Leste
Assisted in teaching mathematics, physics, and programming.
Volunteer Teaching Assistant - Japanese Language Instruction, University of Tokyo
Python, R, SQL, C++, Java, VBA, X10
Linux, WSL, VirtualBox, Docker, Git, Jupyter, RStudio, Positron, Spyder, VS Code, Eclipse, DBeaver, Generative AI APIs, Dify, Google Cloud Platform, LaTeX
Japanese (Native) · English (TOEFL iBT 102)
Department Chair's Award (Top Student in Department), University of Tokyo