My research focuses on developing new techniques and algorithms for analyzing large-scale human genome dataset. I am primarily doing research at Oxford’s big data institute, which is the world’s largest health big institute for biomedical research, and I am working in collaboration with the tskit community, which is an international research community for population and statistical genomics. During my first year as a DPhil student in Oxford, I created a new Python software called tstrait, which can efficiently simulate quantitative traits based on a whole-genome data in the tree sequence data format at a much faster computational speed than traditional simulation algorithms. I am currently working on developing a new technique to protect people’s privacy in large-scale human genome research.

I completed my Bachelor’s degree in Mathematics-Statistics and Master’s degree in Statistics at Columbia University in 2022. I am currently part of Oxford University’s Student Union as a postgraduate academic representative of the Mathematical, Physical and Life Sciences (MPLS) division, and I am also serving as a representative of the statistics department in the Graduate Joint Consultative Forum and as a representative of the second year DPhil students in the Graduate Liaison Group.

- Genome-wide association study (GWAS)
- Population genetics
- Statistical genetics
- Ancestral recombination graph
- Genetic simulation
- Statistical computing
- Algorithm development