Tin‐Yu J. Hui

Estimation of adult census size from close-kin dyads in the malaria mosquito Anopheles gambiae

The paper applies close-kin mark-recapture to estimate adult mosquito census size and clutch failure probability in Anopheles gambiae, finding high clutch failure and extreme reproductive variance.

A novel unbiased Linkage Disequilibrium estimator through Random Probing

This paper introduces a new unbiased linkage disequilibrium estimator called Random Probe, which outperforms existing methods in reducing bias, especially in challenging scenarios.

Accounting for pseudo-replication of Linkage Disequilibrium for contemporary Ne estimation

The paper introduces a method to correct confidence intervals for pseudo-replication in linkage disequilibrium data to improve Ne estimation in Anopheles gambiae.

Assessing alternative methods of using population genomic data to measure changes in population size

This study evaluates population genomic statistics to detect population size changes in malaria mosquito trials, finding Tajimas D is highly sensitive and robust across scenarios.

Assessing the population genetic structure and demographic history of Anopheles gambiae and Anopheles arabiensis at island and mainland sites in Uganda: Implications for testing novel malaria vector control approaches.

This study examines genetic structure and demographic history of Anopheles gambiae and Anopheles arabiensis in Uganda, showing genetic differentiation between species and subtle structure between island and mainland populations, with implications for malaria vector control.

Variance partition reveals contrasting random effect contributions on the density and species composition of malaria-transmitting mosquitoes

The paper quantifies random effects on mosquito density and species composition, finding greater between-village variation than between-house or year.

Resistance to a CRISPR-based gene drive at an evolutionarily conserved site is revealed by mimicking genotype fixation

The paper evaluates resistance to a CRISPR-based gene drive by simulating high selection pressure in Anopheles gambiae and identifies a resistant mutation at an ultra-conserved site.