Christopher Plaisier

Dr. Christopher Plaisier is a passionate and accomplished individual with a diverse background in software engineering, molecular biology, and human genetics.

Having received his undergraduate training in basic biology from the University of Utah, he later transitioned into the field of software engineering, where he honed his skills in software design and development.

With experience as a technician in a plant molecular biology laboratory, Dr. Plaisier gained valuable expertise in molecular biology techniques, essential for creating new datasets.

During his graduate studies in Human Genetics at the University of California, Los Angeles, he delved into the intricate worlds of human genetics and statistics, combining molecular and computational biology effectively.

Dr. Plaisier's long-term aspiration is to establish a research laboratory focusing on cutting-edge technology to address relevant biological challenges, while continuously refining computational techniques for data analysis.

His commitment to integrating research data with public resources and sharing results for broader utilization reflects his dedication to advancing scientific knowledge.

With specialties in bioinformatics, computational biology, statistics, transcriptional modeling, gene expression, human genetics, and web development, particularly in bioinformatic-oriented sites, Dr. Plaisier possesses a comprehensive skill set suited for innovative research projects.

Currently serving as an Assistant Professor at Arizona State University's School of Biological and Health Systems Engineering, Dr. Plaisier has also held positions as a Senior Research Scientist and Postdoctoral Fellow at the Institute for Systems Biology, showcasing his extensive research experience and leadership capabilities.

His academic journey culminated in a PhD in Human Genetics and an MS in Bioinformatics from UCLA, in addition to a Bachelor of Science in Biology from the University of Utah.

Dr. Plaisier's vision includes utilizing model systems or organisms for hypothesis testing, model building, and enhancing data integration to refine scientific models, alongside a strong commitment to mentorship and knowledge dissemination within the academic community.

Driven by a desire to uphold the integrity and utility of his research, Dr. Plaisier's work is guided by a core set of values that underscore his scientific endeavors.