معرفی
Felix Horns is an Assistant Professor of Genetics at Stanford University and a Core Investigator at Arc Institute. His laboratory, the Horns group, works at the interface of synthetic biology and genomics to develop and apply technologies for monitoring and manipulating cells, with particular focus on the immune system and the brain.
Education
- Ph.D. in Biophysics, Stanford University (2019)
- M.Phil. in Computational Biology, University of Cambridge (2013)
- B.A. in Biology, Amherst College (2011)
Research Interests
Dr. Horns' research spans multiple interdisciplinary areas at the frontier of biology and technology. His work integrates synthetic biology approaches with genomic technologies to develop innovative methods for cellular monitoring and manipulation. Key research areas include:
- Single-cell genomics and transcriptomics
- Antibody diversity and immune system function
- Brain circuit development and neural connectivity
- RNA packaging, secretion, and delivery systems
- Drosophila neuroscience and developmental biology
- Computational analysis of biological systems
His laboratory has made significant contributions to understanding how antibodies evolve through somatic processes, how brain circuits assemble during development, and how to engineer new cellular manipulation technologies.
Advising and Teaching
Dr. Horns actively mentors graduate students and postdoctoral scholars in his laboratory. He currently serves as Doctoral Dissertation Advisor for Goldie Roth and has Elizabeth Brown among his advisees. At Stanford, he teaches in the Bioengineering department, offering courses including Directed Investigation (BIOE 392), Directed Study (BIOE 391), and Graduate Research (STEMREM 399).
Laboratory and Collaborations
The Horns laboratory maintains strong collaborative ties with multiple research groups at Stanford and beyond. As a Core Investigator at Arc Institute, he participates in interdisciplinary research initiatives focused on fundamental biological questions. His work bridges multiple fields including immunology, neuroscience, and synthetic biology, leveraging both experimental and computational approaches to address complex biological problems.