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I just recently decided to not pursue a PhD in scientific computing, so I'll be finishing my Master's and working at a startup starting in September. One of th
by enjalot 15y ago
I just recently decided to not pursue a PhD in scientific computing, so I'll be finishing my Master's and working at a startup starting in September.
One of the biggest reasons I decided to not do further research is that I have noticed that there are an unfathomable amount of people hobbling about on ancient and primitive tools when there are existing implementations and papers available that would make their lives orders of magnitude more efficient. So I've made a personal choice to not pursue the latest, fastest and most cutting edge algorithms and rather bring my knowledge, experience and problem solving abilities to people who are trying to solve real problems right now.
My point is that even though you think you can't compete with these guys who read, study and do 'real' science they could use a lot of help from the likes of you. Sure learning some linear algebra and bayesian statistics can help in directly implementing the algorithm, but usually the biggest problem I've seen is a complete lack of software engineering and hard coding specific to certain data sets.
I think the scientists can gain a lot from the software engineering field, especially open source practices. They will be resistant to it, as others have pointed out the incentives don't always line up, on the other hand there is a lot of low-hanging fruit in terms of improvements a decent programmer can pluck.
- nkassis 15y ago"My point is that even though you think you can't compete with these guys who read, study and do 'real' science they could use a lot of help from the likes of you. Sure learning some linear algebra and bayesian statistics can help in directly implementing the algorithm, but usually the biggest problem I've seen is a complete lack of software engineering and hard coding specific to certain data sets." Yup you said it exactly right. More programmers to assist the scientist. The scientist know the science part but they need help with the informatics part (lots of it). If not they do it themselves and you end up with some software that becomes critical but with no one being able to maintain it. Plus working with the scientist means you have access to expert in their field and usually they like to talk about it so you'll learn overtime the science and whys behind the stuff you work on. Good luck with the startup.