OpenBIM, AI and Coding: Why Engineers Should Care with Dr Yatong Nie

Website:

https://www.digitalconstructionpodcast.com/

Episodes:

https://www.digitalconstructionpodcast.com/episodes

Episode notes:

https://www.digitalconstructionpodcast.com/episode/openbim-ai-coding-why-engineers-should-care-with-dr-yatong-nie

Host:

https://www.linkedin.com/in/andrea-ciaffi-548413113

Guest:

https://www.linkedin.com/in/yatong-nie-18a123108/

In this episode of the Digital Construction Podcast, host Andrea speaks with Dr. Yatong Nie, a Digital Engineering Coordinator at GAMUDA, about the evolving role of digital engineering in construction. Yatong explains how digital engineering is not just about 3D models but also encompasses data automation, visualization, and workflow integration across design, construction, and operations. She shares her journey, starting with a PhD in AI and deep learning applications in engineering, followed by roles at consulting firms like WSP, where she gained hands-on experience in automation and open data formats such as IFC. Now working on large infrastructure projects, she focuses on making construction more efficient by leveraging digital models and data-driven decision-making.

Discussing digital tools in construction, Yatong highlights how cloud-based platforms and common data environments have transformed how teams collaborate. She explains that relying on outdated paper drawings often leads to confusion, while digital tools ensure all teams work with the latest, most reliable data. The conversation delves into OpenBIM and IFC file formats, with Yatong describing them as the "universal adapters" that allow different software ecosystems to exchange data seamlessly without compatibility issues. This, she argues, is key to improving coordination between disciplines and reducing rework—one of the biggest challenges in construction.

The discussion also touches on the role of Python and automation in engineering workflows. Yatong, a strong advocate for programming in construction, shares how Python is used for data extraction, workflow automation, and structural analysis, drastically improving efficiency. She also emphasizes the importance of low-code platforms like Dynamo and Grasshopper, which make automation accessible to engineers without deep programming expertise.

Looking ahead, Yatong predicts that AI and machine learning will play a major role in predictive design and decision-making once higher-quality structured data becomes available. She also sees augmented reality (AR) being widely adopted on construction sites, allowing teams to overlay 3D models onto real-world environments for better project visualization. However, she notes that the biggest barrier to OpenBIM adoption is mindset and industry resistance, as many professionals remain comfortable with proprietary software workflows.

The conversation concludes with Yatong encouraging engineers to stay curious, keep learning, and embrace digital tools to stay ahead in the industry.

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