Welcome! I am Wesley Hanwen Deng. I am a Ph.D. student at the Human-Computer Interaction Institute (HCII) at Carnegie Mellon University, School of Computer Science. I am co-advised by Ken Holstein and Motahhare Eslami. I also have the fortune to work closely with Haiyi Zhu and Steven Wu.

 

I previously studied Computer Science at UC Berkeley, where I did research with Niloufar Salehi and Kimiko Ryokai. I also did design with Eric Paulos. 

​

My current research interests are Human-centered Machine Learning (ML), Fairness, Accountability, and Transparency (FATE) in Artificial Intelligence (AI) and, more broadly, Human-AI Interaction. Below are my on-going projects. If any of them resonates with you, feel free to reach out through email or twitter!

🤖💬 As low machine translation quality disproportionately impacts vulnerable communities like immigrants, how could we better communicate the machine translation qualities to the end users through a Slack Chatbot? 

​

𝐖🌏 How could we facilitate public deliberation of ML-based system deployment in Wikipedia community when stakeholders have competing values? 

​

👩‍💻🧑‍💻 What are some frictions Data Scientists might encounter while using the open sourced ML "Fairness Toolkits" (e.g. AIF360, Fairlearn)? 

​

🤝🙏 Current ML "Fairness Toolkits" are designed for use by lone developers rather than collaborative teams. How could we catalyze collaborations among industrial practitioners with diverse professional backgrounds? 

​