Christina Theodoris, MD, PhD
Assistant Professor
Pediatrics
School of Medicine

Our lab leverages cutting-edge machine learning and experimental genomics to map the gene regulatory networks disrupted in cardiovascular disease and discover network-correcting therapeutics.

Show full bio (130 words) Hide full bio

We develop machine learning models that leverage the unprecedented volume of transcriptomic and epigenomic data now available to gain a fundamental understanding of network dynamics that can be democratized to a vast array of downstream applications. Investigating the consequences of network rewiring that occurs in disease states uncovers the key mechanisms that coordinate gene transcription to ensure normal development and tissue maintenance. Furthermore, mapping the network dysregulation driving disease allows targeting normalization of central elements to treat the core disease mechanism rather than merely managing symptoms. We apply an innovative network-based framework for therapeutic discovery to cardiovascular disease to accelerate development of much-needed treatments for patients as well as to advance our fundamental understanding of the regulatory circuitry governing human development and disease.

Education & Training

Show all (4) Hide

  • postdoc Computational Biology Broad Institute of MIT and Harvard; Dept. of Data Science, Dana-Farber Cancer Institute 09/2022
  • residency Pediatrics-Medical Genetics Residency Boston Children's Hospital 06/2022
  • MD, PhD Developmental and Stem Cell Biology University of California, San Francisco 06/2017
  • BS Biology California Institute of Technology 06/2009

Websites

Show all (2) Hide

Publications (11)

Top publication keywords:
BiologyCalcinosisNitrilesThiazolesHeart Valve DiseasesCRISPR-Cas SystemsAortic Valve StenosisTelomereHeart Septal DefectsHaploinsufficiencyReceptor, Notch1Machine LearningTelomere HomeostasisAortic ValveGene Regulatory Networks

Show all (6 more) Hide