Research output per year
Research output per year
I currently work on developing software currently called "SparsePainter" for efficient chromosome painting.
My research mainly focuses on applying statistical methods to population genetics.
I have developed a C++ software for efficient local ancestry inference, which is freely available from GitHub:
I have also developed two R packages which are available from GitHub:
LDAandLDAS: Linkage Disequilibrium of Ancestry (LDA) and LDA Score (LDAS)
HTRX: Haplotype Trend Regression with eXtra Flexibility
Talks and Posters:
Sparse haplotype-based fine-scale local ancestry inference at scale reveals recent selection on immune responses, Probabilistic Modeling in Genomics 2024, April 2024
SparsePainter: an efficient fine-scale chromosome painting software, Chromosome painting conference, August 2023
Using ancient DNA to understand Multiple Sclerosis, Statistics discussion group, MRC IEU, University of Bristol, April 2022.
Using ancient DNA to understand Multiple Sclerosis, Research Students' Conference in Population Genetics, University of Warwick, June 2022.
HTRX: Haplotype Trend Regression with eXtra flexibility for learning SNPs and non-contiguous haplotypes associated with a phenotype. IEU monthly meeting, University of Bristol, November 2022.
Papers:
MSc Statistics (Medical Statistics), University College London
21 Sept 2020 → 20 Sept 2021
Award Date: 20 Sept 2021
BSc Mathematics and Applied Mathematics, Beijing University of Chemical Technology
25 Aug 2016 → 15 Jun 2020
Award Date: 15 Jun 2020
Research output: Contribution to journal › Article (Academic Journal) › peer-review
Research output: Contribution to journal › Article (Academic Journal) › peer-review