[HamSession]

This is very cool stuff. I was just wondering what do you see is the biggest technical problem with this technology? I understand that the hardest part currently is transferring the modified genome into all cells, is this still correct?

If I'm interested in this technology how do you recommend learning the required techniques. As a machine learning engineer I know maths more then biology, but want to contribute to the open source movement. Where do you view the biggest impact of software/machine learning engineers can make to the open sourced biology movement?

[jrkelly]

The biggest technical problem in general for synthetic biology is predictive design. Most of the technology we are building is to enable massive numbers of designs to be tried in parallel b/c the complexity of the cell rebuffs predictive CAD models. This will change as we get more data which is what foundries like ours generate - lots of data.

[osazuwa]

I'd love to hear a reply to this.