I am a PhD student at School of Computing, National University of Singapore advised by Kuldeep S. Meel .
My research interests center on SAT solving and model counting, with a particular focus on hashing-based approximate model counting algorithms and SAT solving heterogeneous constraints such as the PB-XOR formula.
I am dedicated to advancing the integration of probabilistic and logical reasoning. To this end, on the one hand, I employ causal reasoning to gain a deeper understanding of how SAT solvers work and leverage machine learning to enhance SAT-solving performance. On the other hand, I utilize SAT solvers and model counters to verify the properties of binarized neural networks.