Declare the birth of a legend; nothing shall hinder, only prosper.
- Currently working on bio-inspired artificial intelligence, under the supervision of Professor Xiaolin Hu. Research under the Tsinghua Statistical Artificial Intelligence & Learning (TSAIL) group. Funded by the Visiting Student Research Fellowship.
- Through understanding and examination, overcome barriers to delegate jobs to agents, absolutely boosting productivity.
- Interested in all kinds of game-changing ideas and technologies, especially in areas of computer science and neuroscience, such as BCI π§ , VR π₯½, and exploring the immense universe ππβοΈπͺπ.
- Looking to collaborate on any cool ideas! β¨
- π Distinction-level Master of Science in Artificial Intelligence at the University College London.
- π Master's thesis - Foveation-Guided Steganography Using Latent Representations: A Perceptual Approach to Improve Payload Capacity and Visual Fidelity. Published in ACM SIGGRAPH Asia 2025 Poster, mentored and supervised by Professor Kaan AkΕit.
- π¬ Yearly placement at MSD as a Bioinformatic Scientist. Supported and tackled many drug-discovery challenges in computational biology spaces, 𧬠mainly on Protein-Protein Interaction Networks. Mentored and supervised by Dr Wei Wei.
- π First Class Honours Bachelor of Science in Computer Science (HCI) at the University of Manchester. Stellify Award βοΈ.
- π Bachelor's thesis - A Comparative Study of Motor Imagery Approaches in EEG-based Brain-Computer Interfaces. Mentored and supervised by: Professor Oliver Rhodes.
- Other bits of my life: workshop executive in the Data Science Society, software engineer summer internship, AD brain network spreading models, PEFT in LLMs, etc.
- Experience in ML dev and prod, data analysis and processing, web dev, LLM and CV.
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