Zou Bohao (邹博皓)

My research sits at the intersection of AI and the life sciences, developing deep learning and generative models for metagenomics, multi-modal large language models, diffusion probabilistic models and self-supervised representation learning.

Education

• PhD in Computer Science, Hong Kong Baptist University (2021.09 - 2026.03), advised by Prof. Lu Zhang
• MSc in Biostatistics, University of California, Davis (2019.09 - 2021.06), advised by Prof. Gerald Quon
• BSc in Biotechnology, Harbin Medical University (2014.09 - 2019.06)

Experience

• AI Research Intern, NVIDIA (2022.03 - 2022.12)
• Bioinformatics Engineer Intern, 3D Medicines (2019.01 - 2019.03)
• Computer Vision Research Intern, Ping An Technology (2018.08 - 2018.12)

Selected work

• Deepurify - a multi-modal deep language model for contaminant removal from MAGs, Nature Machine Intelligence (2024)
• CompleteBin - dynamic contrastive learning with a pretrained language model for metagenome binning; oral at RECOMB-Microbiome 2025
• TaCoGPT - a LLaMA-based generative model for taxonomic annotation of MAG contigs (ongoing)
• Open-source minimal DDPM implementation (2.2k+ GitHub stars)

Awards

• Outstanding Research Performance Award, Department of Computer Science, HKBU (2025)
• Teaching Assistant Performance Award, HKBU (2023)
• Outstanding Teaching Assistant Performance Award, HKBU (2022)

Service

• Reviewer, Nature Methods