Zhe Fei

Creating value through insights into complex data, Dr. Zhe Fei serves as an Adjunct Assistant Professor of Biostatistics at the University of California, Los Angeles. His research is at the forefront of developing innovative statistical methods tailored for big data challenges, with a particular emphasis on high-dimensional inference and survival analysis. Dr. Fei's work is pivotal in advancing the understanding and application of statistical techniques in the realm of personalized medicine, where he seeks to unravel the complexities of genomic data. Dr. Fei's expertise extends to the integration of machine learning with traditional statistical methodologies, aiming to enhance the precision and applicability of data-driven insights in cancer studies. His collaborative efforts with scholars across diverse disciplines have enriched his research, allowing him to apply his statistical acumen to a variety of genomic predictors. This interdisciplinary approach not only broadens the scope of his work but also ensures that his contributions are both innovative and impactful. In addition to his research endeavors, Dr. Fei is committed to the academic community at UCLA, where he mentors students and engages in collaborative projects that push the boundaries of biostatistical applications. His dedication to advancing the field of biostatistics is evident in his continuous pursuit of knowledge and his passion for translating complex data into meaningful insights that can drive progress in medical research and beyond.