Bevan Emma Huang

Bevan Huang is a seasoned statistical geneticist known for his innovative application of quantitative analysis in large-scale population-based studies within the fields of medicine and agriculture. He is skilled in developing statistical methodology and computational tools for a diverse array of experiments using various technology platforms. Bevan possesses a wealth of experience in supervising students and researchers, securing research funding, leading projects, and fostering international collaborations.

Bevan's academic journey includes a Ph.D. in Biostatistics from the University of North Carolina at Chapel Hill and a B.S. with Honors in Mathematics from the California Institute of Technology.

Throughout his career, Bevan has held significant positions at renowned organizations. Currently, he serves as the Head of Pharmaceutical Data Sciences in Cross-Sector Initiatives at Johnson & Johnson. Previously, he was the Deputy Chair of the Population & Systems Medicine Board at the Medical Research Council. He also has a background as a Senior Director at Johnson & Johnson, where he led global early innovation partnering efforts related to data sciences. Additionally, Bevan has been involved in various editorial roles and research positions at organizations including G3: Genes - Genomes - Genetics, Innovate For Health, Janssen R&D, CSIRO, and more.

Bevan Huang's expertise spans across statistical genetics, quantitative analysis, statistical methodology development, computational tools, research leadership, international collaborations, biostatistics, and mathematics. His contributions to the field have been recognized through his various editorial roles, research positions, and leadership roles in prominent organizations.

With a solid educational background, extensive professional experience, and a diverse skill set, Bevan Huang continues to make significant contributions to the fields of medicine and agriculture through his unique and innovative approach to statistical genetic research.