Declare the birth of a legend, and nothing will hinder its composition.
- Recently learning π₯ about vector-quantised VAE, cost-effectiveness of LLM fine-tuning, and biomedical image modelling.
- Interested in all kinds of game-changing ideas and technologies, especially in areas of computer science and neuroscience, such as bio-inspired AI, BCI π§ , VR π₯½, and exploring the immense universe ππβοΈπͺπ.
- Looking to collaborate on any cool ideas! β¨
- Distinction level (expected) Master of Science in Artificial Intelligence π at the University College London. Master's thesis π on perceptual-guided steganography, consisting of effective hiding payload in images, and embedding data aided by human visual system. Mentored and supervised by: Dr Kaan AkΕit.
- Yearly placement at MSD as a Bioinformatic Scientist π¬. 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.
- First Class Honours π Bachelor of Science in Computer Science (HCI) π at the University of Manchester. Stellify Award βοΈ. Bachelor's dissertation π on A Comparative Study of Motor Imagery Approaches in EEG-based Brain-Computer Interfaces. Mentored and supervised by: Dr Oliver Rhodes.
- Workshop executive in 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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