Liang Niu

Liang Niu is an esteemed Associate Professor at the Department of Environmental & Public Health Sciences within the College of Medicine at the University of Cincinnati. With a profound dedication to the field of statistical bioinformatics, his research primarily focuses on RNA-Seq, ChIA-PET, methylation array, and PacBio sequencing. His expertise extends to providing statistical consulting services, which encompass study planning, design, power calculation, statistical modeling, and analysis. Dr. Niu's academic journey is marked by a Fellowship in Research from the National Institute of Environmental Health Sciences, which has significantly contributed to his research acumen. He holds Doctoral Degrees in Mathematics and Biostatistics from The Ohio State University, showcasing his strong foundation in quantitative sciences. His academic credentials are further bolstered by a Master's Degree in Mathematics from Peking University and a Bachelor's Degree in Mathematics from Hubei University. In his current research endeavors, Dr. Niu is deeply involved in the analysis of data derived from RNA-Seq, ChIA-PET, methylation arrays, and mass spectrometry. His work also includes data mining of public domain omics datasets, which is pivotal in advancing the understanding of complex biological systems. His contributions to the field are not only limited to his research but also extend to mentoring students and collaborating with fellow researchers. Dr. Niu's work is characterized by a commitment to advancing the field of bioinformatics through innovative research and collaboration. His efforts are directed towards unraveling the complexities of biological data, thereby contributing to the broader scientific community's understanding of environmental and public health sciences. His role as an educator and researcher continues to inspire those around him, fostering a culture of inquiry and discovery. Through his research and teaching, Dr. Niu aims to bridge the gap between theoretical mathematics and practical applications in environmental health sciences. His work is instrumental in developing new methodologies and tools that enhance the analysis and interpretation of complex biological data. As a thought leader in his field, Dr. Niu remains dedicated to pushing the boundaries of knowledge and fostering a deeper understanding of the intricate relationships within biological systems.