Naum Sayfullin

Data Scientist

Bio

Naum holds a Bachelor of Science in Pharmaceutical Science from The Ohio State University and a Master's in Applied Data Science from Syracuse University. Dedicated to modernizing how we interact with scientific knowledge, he began his journey analyzing pharmaceutical data at CAS.

Leveraging this deep domain background, Naum transitioned to Information Technology, aligning data governance, platform development, and enterprise data efforts with business needs.

Today, he applies that expertise to agentic AI, building autonomous agents that utilize specialized tools to solve complex, data-driven problems. A key aspect of this work is bridging the gap between technical AI advancements and real-world scientific applications to help accelerate scientific discovery.

Digital R&D

计算机视觉通过分析大量视觉数据集推动更快速的突破

人工智能驱动的计算机视觉能够分析视觉数据集,这意味着在任何使用图像的领域都能实现更快速的创新,也就是说,如今几乎所有科学领域都适用。
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