Erik Reinertsen     Blog     Research     Tech     Teaching     Talks

I am a postdoctoral fellow at Mass General, MIT, and the Broad Institute. My advisors are Aaron Aguirre, Collin Stultz, and Steven Lubitz.

We develop deep learning approaches to:

  • Infer diagnoses and outcomes from 12-lead ECGs
  • Phenotype decompensation using ICU time series data
  • Stratify outcomes after cardiac surgical procedures

I am affiliated with:

I did my PhD at Georgia Tech. I worked on signal processing and machine learning applied to time series data from wearable devices. My advisors were Gari Clifford, Shamim Nemati, and Amit Shah.

Prior to my MD/PhD training, I studied Bioengineering at UCLA. I developed cellularized fibrin hydrogels for dermal wound healing, nanoparticles for imaging cells, and computational diffusion-reaction models of oxygen transport and cell growth. My advisors were Bill Tawil and Benjamin Wu.

My papers are available at Google Scholar.