Dr. Jasy Liew Suet Yan is a Senior Lecturer at the School of Computer Sciences, Universiti Sains Malaysia (USM) specializing in sentiment analysis and text mining. Her broader research interests include natural language processing, machine learning, affective computing and human-computer interaction. Dr. Jasy completed her PhD from the School of Information Studies, Syracuse University, USA in 2016. Her dissertation titled “Fine-grained Emotion Detection in Microblog Text”, which explored building machine learning models to detect fine-grained emotions expressed in text was awarded the Syracuse University iSchool 2016 Doctoral Prize and recognized as the runner-up for the iSchools Doctoral Dissertation Award 2017. She has worked on many projects involving machine learning and data mining, particularly mining text from Twitter and other sources of user-generated content. Dr. Jasy was awarded the 2017 L'Oréal-UNESCO for Women in Science National Fellowship Award for her research in depression detection through social media. Being a champion of the data science program at USM, she is committed in training students both from academia and the industry to apply machine learning to extract insights from data. She is also actively mentoring students to build innovative systems for information analytics and visualizations, many of which have been recognized in top-notch competitions such as Innovate Malaysia, PECIPTA and Novel Research and Innovation Competition (NRIC). Dr. Jasy was recently recognized as an AI Impact Shaper in the Intel® AI Global Impact Festival 2021 for her contributions in AI for education.