Associate Professor  

ALS 2077A



B.S. Applied Mathematics, B.S Physics, Georgia Institute of Technology 

Ph.D. Physics, University of California, Berkeley 

Postdoc, University of California, Berkeley

Postdoc, Massachusetts Institute of Technology CSAIL 


Hendrix Lab

PubMed Citations

Google Scholar

Research Interests

The Hendrix Lab employs a broad range of computational approaches, from machine learning to data mining, to investigate questions concerning genomics and gene regulatory systems. We seek to use computational biology and bioinformatics to uncover new mechanisms of gene regulation, as well as validate known biology. We develop motif-finding algorithms and pipelines to understand how promoters and regulatory elements operate, as well as creating new approaches for the analysis of deep-sequencing data to increase knowledge of the principles underlying transcription initiation, transcriptional gene silencing, post-transcriptional gene silencing and Polymerase stalling/pausing. 

One major objective of our lab includes furthering the understanding of the structure, function and mechanisms of action of noncoding RNAs, both large and small. The past decade has seen the discovery of numerous non-coding RNAs whose functions are largely unknown. We aim to discover new non-coding RNAs and gain insight into the roles of these molecules in gene regulation by developing novel computational approaches for the integration of structural predictions, genome-wide sequence analysis, and deep sequencing data.