I am a passionate AI researcher with a strong sense of responsibility for making the future a better place. I am currently pursuing my PhD (2023-2027 expected) under the joint supervision of Prof Elliott Ash & Prof Mrinmaya Sachan at ETH, and Prof Markus Leippold at UZH. I divide my time equally between both institutions.

My research focuses on AI application trustworthiness. Specifically, I am dedicated to advancing two key areas:

(1) External: Supervision for AI Applications – I work on validating NLP application outputs using external automated verifiers, ensuring they are more interpretable, efficient, and suitable for both human and machine supervision.

(2) Internal: Enhancing AI Honesty and Calibration – I aim to align AI systems to recognize their own knowledge limitations and express uncertainty appropriately. This uncertainty-awareness should generalize across various tasks, including information-seeking, reasoning, and retrieval-augmented generation.

By enhancing AI trustworthiness, I aspire to contribute to impactful domains such as NLP for climate change and Legal NLP. I like to aim high, but I always keep my feet on the ground.

If you are interested in collaborating in these areas, feel free to reach out!

Jingwei Ni

PhD Student in NLP

Email: jingweini8@gmail.com

Department of Humanities, Social and Political Sciences
ETH Zürich
IFW-E-44, Haldeneggsteig 4
&
Department of Banking and Finance
University of Zürich
PLR-J-101, Plattenstr. 14

Events

Publications

Education

PhD @ ETH D-GESS

ETH & UZH (Mar 2023 – Present)

MSc in Data Science and Machine Learning

University College London (Sept 2021 – Sept 2022)

BSc in Computer Science

University of Hong Kong (Sep 2017 – Sep 2021)

Plain Academic