Research
At GLOW.AI, we are interested in learning and optimization on data-centric AI, collaborative AI, automated AI, and AI for science problems, their applications to LLMs & MLLMs, among others. See below for the research themes we work on.
    
        
    
        
        
            
            Data selection, data valuation, knowledge distillation, data attribution, machine unlearning, data ownership, domain generalization
         
        
     
 
    
        
    
        
        
            
            Federated learning, collaborative ML, incentives, reinforcement learning
         
        
     
 
    
        
    
        
        
            
            Active learning, Bayesian & zeroth-order optimization, neural architecture search, meta-learning
         
        
     
 
    
        
    
        
        
            
            Experimental design, physics-informed ML, quantum ML, precision agriculture
         
        
     
 
    
 
Recent News
See the list of our publications here.
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    Feb 2025
    
    Our AI Singapore's National Multimodal LLM Programme research grant proposal (~S$2.9M for 3 years) on Towards Inverse Problems for Foundation Models is accepted! More later.
    
    
  
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    Feb 2025
    
    I am a recipient of the Faculty Teaching Excellence Award 2025 in the School of Computing, NUS.
    
      Read more here.
    
    
  
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    Jan 2025
    
    Congrats! to Sebastian Shenghong Tay for receiving the prestigious Dean's Graduate Research Excellence Award, and also to Zijian Zhou and Apivich Hemachandra for receiving the Research Achievement Award.
    
      Read more here.
    
    
  
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    Aug 2024
    
    Congrats! to Rachael Hwee Ling Sim and Xinyi Xu for receiving the prestigious Dean's Graduate Research Excellence Award and also to Jingtan Wang, Zhiliang Chen, Zhenfeng He, Gregory Lau, Xiaoqiang Lin, Zhuanghua Liu, Rui Qiao, and Zhaoxuan Wu for receiving the Research Achievement Award.
    
      Read more here.
    
    
  
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    Jul 2024
    
    PINNACLE 🏔️ won the best paper award (out of 225 submissions) at the ICML 2024 Workshop on AI for Science!
    
      Read more here.
    
    
  
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    Jul 2024
    
    Our AI Visiting Professorship Proposal (~S$4M for 3 years) on Data-Centric Machine Learning at Scale with Pang Wei Koh is accepted! It is featured on pages 29-30  in Issue 1 (Aug 2024) of Ignite, a new biannual magazine from the Office of the Deputy President (Research and Technology) of NUS.
    
      Read more here.
    
    
  
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    Jun 2024
    
    Presented AutoAI and PINNACLE in Adaptive Experimentation Workshop @ Meta NYC.
    
      Read more here.
    
    
  
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    May 2024
    
    Presented our works on Data-Centric AI in the Age of LLMs (FreeShap, WASA, and INSTINCT) in the Data-Centric AI workshop at The Web Conference 2024.
    
      Read more here.
    
    
  
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    Nov 2024
    
    Bryan served as a Senior Area Chair of ICLR 2025, an Area Chair of AAAI 2025, IJCAI 2025, AISTATS 2025, ICML 2025, NeurIPS 2025, an SPC of AAMAS 2025, and an Action Editor of TMLR.
    
    
  
Blogs
    
        
    
        
        
            
            Watermarking, machine unlearning, evaluation metric, LLM
         
        
     
 
    
        
    
        
    
        
        
            
            Watermarking, data provenance, copyright, IP protection, personal data ownership, LLM