Welcome! I am Khai. I am interested in research at the intersection of machine learning and neuroscience. I am currently applying for PhD programs that start in Fall 2024.
In 2022, I worked with Mariya Toneva at the MPI for Software Systems. We studied how to train language models to improve their representational alignment to human brain activity.
Before this, I worked with Qianru Sun on the computer vision task of semantic segmentation, where we focused on approaches using transfer learning and self-supervised learning algorithms. I also worked with David Lo, where we applied machine learning methods to identify bugs in software programs.
Additionally, I worked in industry at GovTech Singapore, where I improved the processing speed of state-of-the-art algorithms for Multi-Object Tracking, i.e., tracking the motion of multiple animals and humans within a video sequence.
Instruction-tuning Aligns LLMs to the Human BrainUnder Review 2023
ICLRSpotlightTraining language models to summarize narratives improves brain alignmentInternational Conference on Learning Representations (ICLR) 2023
ICSEDetecting False Alarms from Automatic Static Analysis Tools: How Far are We?International Conference on Software Engineering (ICSE) 2022