Thread by @tunguz

1/ After a year of work, our paper on mRNA Degradation is finally out!

paper: arxiv.org/abs/2110.07531
code: github.com/eternagame/Kag…

2/ A year ago I was approached with a unique and exciting opportunity: I was asked to help out with setting a Kaggle Open Vaccine competition, where the goal would be to come up with a Machine Learning model for the stability of RNA molecules.

3/ This is of a pressing importance for the development of the mRNA vaccines. The task seemed a bit daunting, since I have had no prior experience with RNA or Biophysics, but wanted to help out any way I could.

4/ The competition was a great success, and we've gotten many new interesting insights and useful ML models. Now, a year later, we have finally condensed all the important takeaways from this project into a paper and code repo.

5/ This project is a collaborative effort between two major crowdsourcing problem-solving platforms: @Kaggle and @EternaGame. It is a definitive proof that such platforms and such collaborations can have a major real world impact.

6/ I want to thank and congratulate all the competition winners and contributors who have made this work possible.

7/ I would especially like to thank the members of the Rhiju Das Lab at Stanford who have spearheaded this project and made it possible, and in particular @HWaymentSteele, @kimds91, @amw_stanford and Rhiju Das.

8/ I am grateful for their guidance, support, patience, and immense knowledge of this very consequential field.

#ml #machinelearning #ai #artificialintelligence #computationalbiology #biology #biochemistry #biophysics #covid19research #research #covid19vaccine #covid19 #covid