Thank you for answering, some of the points are new that I haven’t considered about.
What do you work in ML? AI safety? I want to know what EA-related things I can work in CS besides reducing AI x-risks.
If I insist in working on those bio-related topics, is it still worth getting a CS major and fewer bio?(for bioinformatics and other CS-related skills)
I work at a startup designing synthetic proteins using deep learning: https://www.evozyne.com/. Even though the products my company works on are impactful, due to counterfactuality, I think my impact is through ETG.
You don’t need a bio background to work in bio-related ML. Getting a CS degree with some bio-related courses/self-study the side seems enough. Also bioinformatics != bio-ML.
Thank you for answering, some of the points are new that I haven’t considered about. What do you work in ML? AI safety? I want to know what EA-related things I can work in CS besides reducing AI x-risks. If I insist in working on those bio-related topics, is it still worth getting a CS major and fewer bio?(for bioinformatics and other CS-related skills)
I work at a startup designing synthetic proteins using deep learning: https://www.evozyne.com/. Even though the products my company works on are impactful, due to counterfactuality, I think my impact is through ETG.
You don’t need a bio background to work in bio-related ML. Getting a CS degree with some bio-related courses/self-study the side seems enough. Also bioinformatics != bio-ML.