Art and Algorithms at Sotheby’s: How Kelly Shen ’17 Merges Tech and Fine Art

Kelly Shen ’17, a double major in computer science and mathematics from MIT, now works in art intelligence at the auction house Sotheby’s. She creates algorithms to forecast fine art prices and maintains the digital systems for major auctions. Her career shows how deep technical skill can merge with the fine art market.

Key takeaways

• Kelly Shen ’17 uses algorithms at Sotheby’s to predict art prices based on trends and artist popularity.
• She ensures real-time auction systems can handle thousands of simultaneous online bidders.
• Her MIT education in computer science and math provided the foundation for this tech-art career.
• Shen values practical algorithm design that boosts audience engagement over pure sophistication.
• She credits an MIT math project lab with teaching her to communicate complex technical work effectively.

The Role of Art Intelligence at a Premier Auction House

Kelly Shen ’17 works in art intelligence for the New York auction house Sotheby’s. She builds algorithms to predict fine art prices, using data like buying trends and an artist’s standing. Her technical duties also cover cataloguing work and guaranteeing the stability of live auction platforms.

Shen has focused on making these platforms support thousands of concurrent visitors to the auction site. She adopts a practical view, stating that a highly advanced algorithm only matters if it draws more people. Her dual degree in computer science and math from MIT guides her method for combining technology with art.

An MIT Foundation: Blending Computer Science, Math, and Art

Kelly Shen ’17, now in art intelligence at Sotheby’s, double-majored in computer science and mathematics at MIT. She says her MIT education, combined with a long-held interest in drawing, directed her professional journey. Her technical studies gave her the base for constructing predictive models at the auction house.

The Influence of a Favorite Class

Shen names her favorite class, Project Laboratory in Mathematics, as especially important. This course required students to present creative answers to detailed math problems. She states the class directly showed her how to explain her work to varied groups, a skill she uses when describing technical processes in art.

Practical Algorithm Design: Balancing Sophistication with Engagement

Kelly Shen values elegant algorithms but stresses practical use above all. She knows when intricate models turn unworkable, offering a clear rule: “You can build a super-sophisticated algorithm, but if it doesn’t bring more audience engagement, it doesn’t really matter.” For Shen, an algorithm’s worth links directly to its power to raise audience involvement.

This thinking directly shapes her work at Sotheby’s, where she makes tools for the auction house’s operational and commercial requirements. Her tasks involve crafting algorithms to estimate art prices with factors like buying patterns, plus handling cataloguing and confirming live systems manage many bidders at once. Every project aims to build functional tools that improve the user experience and business functions, not to chase technical difficulty alone.

Beyond Sotheby’s: MIT Alumni Leadership and Community Ties

Alongside her job at Sotheby’s, Kelly Shen keeps strong links to MIT through volunteer and leadership roles. She acts as a class officer, vice president of the Association of MIT Alumnae, and a volunteer for the MIT Club of New York.

Shen, a double major in computer science and math, says lessons from MIT formed her career in art intelligence. Her preferred class was Project Laboratory in Mathematics, which she credits for helping her share her technical work with different listeners. This mix of technical ability and communication guides her approach at Sotheby’s, where she develops predictive algorithms but knows advanced design must finally serve practical aims like drawing a crowd.