Principal Investigator Alexander Slocum
Principal Investigator Paola Cappellaro
Principal Investigator Terry Orlando
Principal Investigator Susan Silbey
The biopharma industry has been continuously growing and progressing with digital transformation. The Symposium will highlight the Current Status and Promise of mRNA Biotherapeutics and introduce Innovation in mRNA Biotherapeutics Manufacturing at MIT.
Join us at the 2024 MIT Seoul Life Science Symposium, organized by KoreaBio (Korea Biotechnology Industry Organization) and MIT ILP. The symposium will also bring you closer to the MIT Life Science Innovation Ecosystem and allow you to explore global trends in MIT’s innovative Drug Discovery and Manufacturing research and experiments from leading MIT faculty and MIT-connected startups.
Principal Investigator T Hatton
This talk introduces a new generation of machine learning methods that provide state of the art performance and are very interpretable, introducing optimal classification (OCT) and regression (ORT) trees for prediction and prescription with and without hyperplanes. This talk shows that (a) Trees are very interpretable, (b) They can be calculated in large scale in practical times, and (c) In a large collection of real world data sets, they give comparable or better performance than random forests or boosted trees. Their prescriptive counterparts have a significant edge on interpretability and comparable or better performance than causal forests. Finally, we show that optimal trees with hyperplanes have at least as much modeling power as (feedforward, convolutional, and recurrent) neural networks and comparable performance in a variety of real world data sets. These results suggest that optimal trees are interpretable, practical to compute in large scale, and provide state of the art performance compared to black box methods.
Principal Investigator Anne White