Ekaterina Gracheva

Ekaterina Gracheva is a Machine Learning Researcher at CrowdChem Data Analytics, where she is responsible for model development and contributing to the company’s global expansion. She earned a Master’s degree in Nuclear Physics from Lomonosov Moscow State University and a PhD in Computer Science from the University of Tsukuba. For eight years at Japan’s National Institute for Materials Science, she applied machine learning to diverse materials, including polymers and fuel cells. With strong scientific expertise and international experience, she works to connect advanced AI with the practical needs of industry. 

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WEBINAR

Tech Innovation in 2026:
Themes and Technologies to Monitor

Register now for our 2026 key predictions webinar hosted by Lux's senior research team! In this session, our industry experts will reveal the themes that will define innovation leadership in 2026.

Thursday, January 22, 2026

Session 1: 11 AM SGT (Singapore)
Session 2: 11 AM CET (Amsterdam)
Session 3: 11 AM EST (New York)
Session 4: 11 AM PST (Los Angeles) 

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