This research investigates the genetic mechanisms underlying polycystic ovary syndrome (PCOS), a condition affecting one in ten women and the leading cause of female infertility. By studying thousands of genetic variants across multiple cell types, the project aims to identify the biological causes of PCOS and develop targeted treatments.

This research investigates mating behavior in Siamese fighting fish and reveals that visual interaction dramatically increases reproductive success. By studying 203 breeding pairs, the project demonstrates the importance of sight in social and mating behavior, suggesting that betta fish possess more sophisticated visual and individual recognition abilities than previously understood.

This research targets rare genetic diseases caused by frameshift mutations using antisense oligonucleotides as “genetic band-aids.” By masking faulty DNA segments, it restores functional protein production. Demonstrated in muscular dystrophy models, this approach offers a scalable strategy to treat multiple rare diseases, addressing a major gap where most conditions lack effective therapies.

This research applies machine learning to genetic data to distinguish harmless DNA variations from cancer-causing mutations. By treating DNA like a crime scene, the model learns to identify which genetic changes truly drive breast cancer risk, supporting more accurate diagnosis and informed clinical decision-making.

This research explores how chronic stress reshapes the brain through genetic mechanisms. By studying the stress-regulating gene MeCP2 in mice, the work shows how early-life stress can lock the brain into a heightened anxiety state, revealing biological pathways that may inform future treatments for stress-related mental health disorders.

Congenital heart defects are the leading cause of infant death from birth defects. This research develops a high-throughput method to test genetic mutations in key heart genes like TBX5, identifying which variants disrupt heart development. The approach improves diagnosis, informs gene therapy, and advances understanding of why hearts fail before birth.

Craniosynostosis occurs when skull sutures fuse too early, requiring risky surgeries. The researcher identified microRNA-200A as a key regulator of suture development. In mice lacking miR-200A, sutures fused prematurely, but adding extra miR-200A via gene therapy prevented fusion entirely. This breakthrough suggests a non-surgical future treatment for craniosynostosis.

Cleft lip formation may result from broken DNA enhancers—switches that control facial development genes. Scanning the genomes of 130 African children with clefts, this research identified harmful enhancer variants and confirmed their effects in mouse models. The disrupted enhancer likely regulates BMP2, offering new insight into cleft biology and future prevention.

This research focuses on developing reliable blood-based biomarkers to evaluate new treatments for hereditary frontotemporal dementia. By identifying an imbalance between two key molecules, progranulin and prosaposin, the work aims to provide accurate measures of treatment effectiveness and bring hope to families carrying this devastating genetic condition