Staff profile

Dr. Chien-Yi Chang is an Assistant Professor of Law and an Assistant Professor of Computer Science at Durham University. She serves as the Academic Lead for Communications & Engagement at the Center for Sustainable Development Law and Policy at Durham University, and is affliated with the Stanford School of Medicine.

Her research bridges law and technology, combining doctrinal analysis, empirical study, and computational experimentation to explore the legal, social, and technical dimensions of artificial intelligence (AI) and biomedical research. Dr. Chang has secured over $600,000 USD (~£450,000 GBP) in competitive research funding to support her interdisciplinary research. Her work has been published in both leading law journals and top AI conferences, demonstrating her ability to contribute to both legal scholarship and technical research communities. She holds a Ph.D. in Electrical Engineering from Stanford, a J.D. from CUHK, and a B.S. in Physics from Caltech.

She welcomes enquiries from current and prospective research students interested in interdisciplinary projects at the intersection of law, technology, and society, with particular emphasis on AI, sustainability, and healthcare. Prospective students from relevant disciplinary backgrounds, including but not limited to Law and Computer Science, are encouraged to contact her with a CV and research statement outlining their proposed research project. Further information about her research and contact can be found at chienyichang.com.

Conference Paper

• Procedure Planning in Instructional Videos
  
  Chang, C., Huang, D., Xu, D., Adeli, E., Fei-Fei, L., & Niebles, J. C. (2020). Procedure Planning in Instructional Videos. European Conference on Computer Vision (ECCV), 334-350. https://doi.org/10.1007/978-3-030-58621-8_20
• Few-Shot Video Classification via Temporal Alignment
  
  Cao, K., Ji, J., Cao, Z., Chang, C., & Niebles, J. C. (2020, June). Few-Shot Video Classification via Temporal Alignment. Presented at 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA. https://doi.org/10.1109/cvpr42600.2020.01063
• D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation
  
  Chang, C., Huang, D., Sui, Y., Fei-Fei, L., & Niebles, J. C. (2019). D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 3541-3550). IEEE. https://doi.org/10.1109/cvpr.2019.00366

Journal Article

• Label-free, machine-learning assisted impedance assessment of basophil activation.
  
  Kim, S., Kloker, L. H., Lee, W., Castaño, N., Chang, C., & Tang, S. K. Y. (2026). Label-free, machine-learning assisted impedance assessment of basophil activation. Sensors and Actuators. B, Chemical, 447(2), 138818. https://doi.org/10.1016/j.snb.2025.138818
• The liabilities of robots.txt
  
  Chang, C., & He, X. (2025). The liabilities of robots.txt. Computer Law & Security Review, 58, Article 106176. https://doi.org/10.1016/j.clsr.2025.106176
• Optineurin-facilitated axonal mitochondria delivery promotes neuroprotection and axon regeneration
  
  Liu, D., Webber, H. C., Bian, F., Xu, Y., Prakash, M., Feng, X., Yang, M., Yang, H., You, I., Li, L., Liu, L., Liu, P., Huang, H., Chang, C., Liu, L., Shah, S. H., La Torre, A., Welsbie, D. S., Sun, Y., … Hu, Y. (2025). Optineurin-facilitated axonal mitochondria delivery promotes neuroprotection and axon regeneration. Nature Communications, 16(1), Article 1789. https://doi.org/10.1038/s41467-025-57135-8
• Exploring network content ecosystem evaluation model based on Chinese judicial discourse of digital platform
  
  Cheng, L., Xu, M., & Chang, C. (2023). Exploring network content ecosystem evaluation model based on Chinese judicial discourse of digital platform. International Journal of Legal Discourse, 8(2), 199-224. https://doi.org/10.1515/ijld-2023-2010

Report

• The State Practice of Science-Referencing in NDCs 3.0: ELEVATE-ProClima Report 2026
  
  Minnerop, P., Boyle, O., Chang, C., Wang, S., Gracco Pinheiro Dias, C., Dias da Costa Rocha, P., Trentini, F., Leite de Barros, G., & Abrahao Castro Alves, V. (2026). The State Practice of Science-Referencing in NDCs 3.0: ELEVATE-ProClima Report 2026. Universidade de Sao Paolo / The British Academy.
• COP30 Presidency Roadmap for Transitioning Away from Fossil Fuels in a Just, Orderly and Equitable Manner
  
  Sulyok, K., Adeyemi, A., Andres, P., Chang, C., Marsiliani, L., & Minnerop, P. (2026). COP30 Presidency Roadmap for Transitioning Away from Fossil Fuels in a Just, Orderly and Equitable Manner. United Nations Framework Convention on Climate Change.