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Reinforce Encoding of Evolutionary Strategies

We are a research community from MIT and Broad Institute, fostering scientific discovery through interdisciplinary collaboration 

 

 

Our mission is:

 

 

  • Use and develop hybrid machine learning models suitable to understand complex biological networks and study human disease
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  • Develop machine learning models inspired by allostatic adaptations observed in biological systems
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Education

 

"He who opens a school door, closes a prison." - Victor Hugo

  • Hidden Markov Models

 

 

  • Reinforcement Learning

 

 

  • Restricted Boltzmann machines

 

 

  • Autoencoders

 

 

  • Natural Language Processing

 

 

  • CNNs and RNNs

 

 

  • Systems networks

Research

 

Existing machine learning models lack allostatic strategies. In addition, current systems offer great performance in narrow environments...

Applied Research

 

Biology and medicine are data-intensive disciplines. Within the next years, this will increase exponentially. Extracting relevant information within complex biological systems has become a priority...

Blog

 

"Imagine a world in which every single person on the planet is given free access to the sum of all human knowledge" - Jimmy Wales