About Me
I am a PhD student in Biomedical Engineering at the National University of Singapore (NUS), where I began my doctoral studies in August 2024. My academic journey spans across multiple prestigious institutions and diverse engineering disciplines, providing me with a unique interdisciplinary perspective that bridges electrical engineering, biomedical engineering, and artificial intelligence.
My research passion lies at the intersection of artificial intelligence and biomedical sciences, where I am developing innovative computational approaches to accelerate scientific discovery. I believe that AI has the potential to revolutionize how we understand biological systems and develop new therapeutic solutions.
Before starting my PhD, I gained valuable research experience at Duke University, where I worked as a Research Associate focusing on medical imaging and machine learning applications. My diverse background includes work on privacy-preserving federated learning, deepfake detection, and advanced medical image analysis.
Research Focus
- Use self-evolving AI with improved creativity to help make new discoveries in biomedical sciences
- Improve creativity of generative machine learning models and enable them to propose novel contents, focusing on post-training of LLMs and fundamental mechanisms of diffusion
Education
PhD in Biomedical Engineering
Master of Science in Electrical & Computer Engineering
Bachelor of Engineering in Electrical Engineering
Professional Experience
Associate in Research
Associate in Research
Body Composition Project: Predict disease risk using CT-based body composition analysis.