Issei Hasegawa is a computer science student at Allegheny College with interests in software engineering, distributed systems, and data-driven computing. His experience spans research, teaching, and software development, including work in data analysis, machine learning, and reproducible workflows.
His current research focuses on the design and empirical evaluation of distributed key-value stores, analyzing trade-offs among failure detection latency, system downtime, and consistency through controlled fault-injection experiments. He has also worked on data science and machine learning projects, including large-scale public health data analysis and the development of reproducible data pipelines. He aims to become a researcher specializing in distributed systems.
PyOhio 2026