Area of research
Computer Vision and Pattern Recognition · Artificial Intelligence
Research interest
Research focused on Deep learning and Cas9, with related work in Data deduplication, Carbon dioxide, Rubric. Notable publications include 'Deep learning in bioinformatics', 'High-throughput analysis of the activities of xCas9, SpCas9-NG and SpCas9 at matched and mismatched target sequences in human cells', and 'Deduplication in SSDs: Model and quantitative analysis'.
Machine learning of metal-organic framework design for carbon dioxide capture and utilization
1.5 million materials narratives generated by chatbots
Data-driven analysis on perovskite solar cell devices
High-throughput analysis of the activities of xCas9, SpCas9-NG and SpCas9 at matched and mismatched target sequences in human cells
Deep learning in bioinformatics
Deduplication in SSDs: Model and quantitative analysis