Summary
Joseph Jin is an Associate Professor at the Higher School of Economics in Moscow, specializing in Explainable AI with Visual Analytics and time-series research. He blends deep learning, attention-based models and Transformer architectures with D3-driven visualizations to translate complex data—from traffic and finance to sensor streams—into interpretable insights. With 15 years of experience, he has led data analytics initiatives in cloud environments using Hadoop, Spark, and Elasticsearch, bridging research with scalable deployment. His roles span the ISSA Lab as Senior Research Fellow and his current teaching duties in the Graduate School of Business, reflecting a strong mix of research and pedagogy. He has worked as a Data Scientist at Ulsan National Institute of Science and Technology and Daumsoft, and is pursuing a PhD in XAI at HSE. In his spare time he studies new programming languages and enjoys fantasy literature, coding toy programs, and exploring cross-domain applications.
15 years of coding experience
11 years of employment as a software developer
Bachelor's degree, Economics, Bachelor's degree, Economics at Kyung Hee University
Doctor of Philosophy - PhD, Computer Science (eXplainable AI, XAI), Doctor of Philosophy - PhD, Computer Science (eXplainable AI, XAI) at Высшая Школа Экономики
English, Japanese, Russian, chineses, Korean