Xi (Nicole) Zhang

Field of Expertise: Medicine | Generative Machine Learning | Bioinformatics

​Xi (Nicole) Zhang is an MD-PhD student at McGill University and a researcher at Mila – Quebec Artificial Intelligence Institute. Her academic journey and research contributions are detailed below

Current Research or Discovery

Safety Challenges of AI in Medicine in the Era of Large Language Models
In this 2024 publication, Zhang and colleagues examine emerging risks associated with the use of large language models (LLMs) in medical applications. The paper discusses safety challenges from functional and communication perspectives, addressing issues across data collection, model training, and real-world application.

JASPAR 2020: update of the open-access database of transcription factor binding profiles
This paper discusses updates to the JASPAR database, which provides transcription factor binding profiles crucial for understanding gene regulation

Forecasting COVID-19 cases using Machine Learning models
In this study, Nicole and colleagues applied machine learning models to predict COVID-19 case trends, contributing to the pandemic response efforts

Mutations and variants of ONECUT1 in diabetes
This research explores the role of ONECUT1 mutations in diabetes, providing insights into genetic factors influencing the disease.

Awards

NSERC Canada Graduate Scholarship – Master’s (CGS-M)
NSERC Collaborative Research and Training Experience (CREATE) Program Scholarship​

These awards recognize Nicole’s academic excellence and research potential in the fields of science and engineering.

Affiliation

• Mila – Quebec Artificial Intelligence Institute: Active researcher contributing to AI advancements in healthcare. ​

Contact

Email: xi.zhang@mail.mcgill.ca
LinkedIn: Nicole Zhang