Education
PhD · Neural Computation & Machine Learning
Carnegie Mellon University
Pittsburgh, PA
Development of a closed-loop brain stimulation framework to control neural population activity states. Advisors: Prof. Byron Yu & Prof. Matthew Smith.

M.A. · Psychology
New York University
New York, NY
Assessment of monkey’s prospective planning ability using a novel sequential maze task. Advisors: Prof. Roozbeh Kiani

Computational Neuroscience Course
Okinawa Institute of Science and Technology (OIST)
Okinawa, Japan

B.Sc. · Mathematics
Nara Women’s University
Nara, Japan

Industry experience
Data Scientist
ABEJA, Inc.
Tokyo, Japan · Insight for Retail Development Team

Assistant Manager, Merchant Strategy Group
Rakuten, Inc.
Tokyo, Japan · Planning Dept., E-Commerce Company

Systems Engineer
Kyocera Communication Systems Co.
Tokyo, Japan · Technical Development Team, Business Development Group, Internet Media Dept.

Teaching
Teaching Assistant · Neural Signal Processing
Carnegie Mellon University
Instructor: Prof. Byron Yu

Teaching Assistant · Introduction to Machine Learning
Carnegie Mellon University
Instructor: Prof. Leila Wehbe

Part-time Lecturer
Rakuten IT School, Hyogo
Electronic commerce & business

Teaching Intern · Mathematics
Nara Women’s University Secondary School
Nara, Japan

Publications
NeurIPS 2025
OMiSO: Adaptive optimization of state-dependent brain stimulation to shape neural population states
Y. Minai, J. Soldado Magraner, B. M. Yu*, M. A. Smith*

NeurIPS 2024
MiSO: Optimizing brain stimulation to create neural population activity states
Y. Minai, J. Soldado Magraner, M. A. Smith*, B. M. Yu* · pp. 24126–24149

Journal of Neuroscience 2025
Robustness of working memory to prefrontal cortex microstimulation
J. Soldado Magraner, Y. Minai, B. M. Yu*, M. A. Smith* · Journal of Neuroscience, 2025

yukiminai.com · CMU PhD · ML & Neuroscience
Medium · GitHub
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