ML squared: an ML tool for the design of ML models – a peek behind the paper with Luis Soenksen and Jackie Valeri

Recently, we interviewed Jackie Valeri (Massachusetts Institute of Technology (MIT), MA, USA), and Luis Soenksen (Wyss Institute of Biologically Inspired Engineering at Harvard University, MA, USA) for a peek behind their recent paper, ‘BioAutoMATED: An end-to-end automated machine learning tool for explanation and design of biological sequences.’ Jackie is a PhD candidate at MIT and Luis is a PhD graduate from MIT and current researcher at the Wyss Institute. Find out more about BioAutoMATED and how this AI tool can help biologists find the optimum ML models for data analysis below. Please provide a short summary of your paper Jackie...