4 ms·
The time is right for applying data engineering to drug discovery. Probably the best time ever to work in this field, and markets like this don't last long. Wh
by aaavl2821 9y ago
The time is right for applying data engineering to drug discovery. Probably the best time ever to work in this field, and markets like this don't last long.
Why not start pursuing this right now and earn a smaller paycheck (presumably compared to what you do now given your net worth :) rather than wait until you hit your net worth threshold?
- malux85 9y agoI'm working on it part time. The largest problem at the moment is datasets, I have crawling infra that has about 280GB of molecular data pulled from universities and every public dataset I can find. I've also gone quite far into novel vectorization and auto-encoder spaces, and have several models now ready I need to sell my company soon, that'll push me over the line, then I will get to work. Do you work in the field? We should keep in touch ...
- aaavl2821 9y agoNot bad for a side project :). I work in drug dev and dont understand the technical side of Ai one bit, but from conversations with folks who do (at big companies and universities) the compute resources and models certainly are challenges, but the lack of good datasets is the real bottleneck What's your thesis / search space if you dont mind me asking? Ie virtual structure or ligand based screening with structure or affinity data, machine vision for analyzing cell based assays or histology slides etc, lead optimization, mining annotated genomic data etc