Dr. Elena Vanc holds a Bachelor of Computer Science from the University of California, Berkeley, a Master’s degree in Distributed Computing, and a Doctorate in Computer Science from Stanford University. With over a decade of experience in big data architecture, machine learning and cross-border digital system R&D, she combines world-class academic research achievements with track records of large-scale commercial system deployment. As Chief Technology Officer and Head of the Global Data Intelligence Center of Shinkin Gather InfoTech Inc., she holds full oversight over all proprietary system development, cutting-edge technology laboratory research and cross-regional technical coordination within the firm.

After entering the industry, she held core architecture R&D roles at two leading technology enterprises focused on digital payment and artificial intelligence respectively. She independently built large-scale real-time data processing systems capable of supporting cross-regional business operations, and rolled out multiple commercial intelligent algorithm products for the financial and tangible industrial sectors. She possesses in-depth knowledge of digital transformation technology demands across overseas industries, as well as development standards for digital compliance under multi-currency and multi-regulatory jurisdictions.

She joined Shinkin Gather InfoTech Inc. in 2017 and led the full-cycle R&D of all underlying corporate systems from inception to maturity. The proprietary "Data Insight Engine" she developed serves as the intelligent decision foundation supporting all investment and industrial cooperation businesses of the firm. Her team delivered dedicated digital supporting systems for three core tracks: metaverse, medical care and clean energy:

• Metaverse: Built a complete technical chain covering digital asset storage, exchange and risk control.

• Precision Medicine: Developed an intelligent remote health data monitoring system.

• Green Energy: Created a digital platform for full-cycle carbon data traceability and quantitative accounting, enabling online visual query of operational data for all physical projects.

In team management, she unified R&D staff from the US and South Korea into a single cutting-edge technology laboratory, split into three functional groups: algorithm R&D, business system development and security compliance technology, with formalized cross-regional technical synchronization protocols. She set aside special R&D funding for technological iteration, continuously investing in next-generation artificial intelligence and commercialized quantum computing technologies. For external technical collaboration, she established joint R&D channels with computer science labs at global universities, while advancing commercial licensing of the firm’s proprietary SaaS technologies to global industrial partners, exporting standardized data risk control and industrial forecasting technical solutions to expand the firm’s technology ecosystem coverage.