Leandro Agudelo

Postdoctoral Associate

I work at the intersection between molecular metabolism and computational biology. My skill-sets are within the areas of molecular biology and computer science so I integrate them to understand the deep underlying order within complex biological systems. On the one hand, I apply machine and deep learning algorithms for pattern discovery in biological data, followed by experimental validation. On the other hand, I'm interested in finding ways to emulate strategies from evolutionary molecular adaptations to improve existing machine and deep learning systems. 
 

Research Interests:

  • Identification of regulatory networks mediating adaptations to metabolic challenges (i.e. obesity, type-2 diabetes and exercise). Focus on immunometabolism

  • Multi-omic inference of regulatory networks governing metabolic adaptations

  • Multi-omic inference of comorbid molecular components across metabolic disorders

  • Integrate evolutionary adaptations observed in biological systems with machine and deep learning models

Publications