David Hendrix

David Hendrix is a Professor in the Department of Electrical Engineering and Computer Science at Oregon State University, affiliated with both the College of Engineering and the College of Sciences. His research focuses on computational biology, bioinformatics, and machine learning applied to RNA and DNA analysis. He leads the Hendrix Lab, which develops algorithms to study non-coding RNAs and integrates structural predictions with genomic data. His work bridges molecular biology and computational techniques, addressing gene regulation and RNA function.

Education:

• Postdoc, CSAIL, Massachusetts Institute of Technology
• Postdoc, University of California, Berkeley
• Ph.D., Physics, University of California, Berkeley
• B.S., Applied Mathematics & Physics, Georgia Institute of Technology

Research Interests: The lab investigates RNA secondary structures, machine learning for bioinformatics, and non-coding RNA mechanisms. Key projects include developing tools like mRNN (predicting coding potential) and bpRNA (RNA structure analysis), supported by grants and collaborations.

Articles Trends: Recent work emphasizes RNA structure prediction, machine learning in genomics, and applications in plant and viral biology. The lab’s methods are applied to hop genetics, cancer biology, and aging-related transcriptomics.

Awards:

• 2022 Wayne & Gladys Valley Foundation BioHealth Fellow
• 2021 College of Science Dean’s Early Career Achievement Award
• 2019 University Mentoring and Professional Development Award

Advising & Grants: Dr. Hendrix oversees a lab focused on interdisciplinary projects, with funding from NIH and NSF. Students and postdocs collaborate on computational tools and biological data integration.

Labs/Teams: The Hendrix Lab collaborates with bioinformatics, molecular biology, and engineering groups, emphasizing open-source software and data-driven discoveries.