皇家华人

Dr. Gu is interested in developing and applying artificial intelligence algorithms and statistical models for understanding the complex biological systems and human diseases, particularly Acute Myeloid Leukemia. Her training and experience encompasses: 1) building pipelines to process large scale raw sequencing data (>1000 samples per project); 2) developing machine learning, deep learning algorithms, and statistical models to identify functional elements; 3) familiarizing herself with almost all types of omics data and many public databases; 4) deep knowledge on genetics, genomics, RNA and cancer biology, and Alzheimer鈥檚 disease; 5) collaborating with researchers from a wide range of biology fields and train students from diverse backgrounds.

Dr. Gu鈥檚 research is at the forefront of developing and implementing advanced Artificial Intelligence algorithms and statistical models, with a particular emphasis on deep learning and machine learning techniques. Her dedication lies in unraveling the intricacies of complex biological systems and uncovering the underlying mechanisms of human diseases. With extensive training and expertise spanning genomics, genetics, epigenetics, genome-wide association studies, cancer biology, RNA sciences, and Alzheimer's disease, Dr. Gu is uniquely poised to tackle the challenges in these fields. Leveraging her comprehensive background in various omics data analysis techniques, Dr. Gu's primary research centers on pioneering cutting-edge computational methodologies for the integration analysis of multi-omics data. Through this innovative approach, Dr. Gu aims to delve into the intricate interactions within these diverse datasets, pinpointing both personalized and generalized key elements that contribute to the onset of diseases. Her ultimate objective is to advance the field of early diagnosis and personalized treatment strategies, with a specific focus on cancers such as leukemia, lung cancer, and kidney cancer. Furthermore, Dr. Gu's research extends to exploring the expanded functions of miRNA and RNA editing. She has dedicated over a decade to studying these aspects, particularly within disease contexts, employing a variety of computational approaches. Her multifaceted research efforts promise to shed light on critical aspects of molecular biology and their implications in disease mechanisms.