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Thank for your opinion, just out of curiosity I was reading about the 28 questions you have posted on HN to try to guess what kind of job you do. The questions

Thank for your opinion, just out of curiosity I was reading about the 28 questions you have posted on HN to try to guess what kind of job you do. The questions are so general that I can only imagine someone trying to learn but not specialized in anything. I can program in many languages and I have a steady job (math associated professor with tenure in Spain). Sometimes I think I could try to use my computer skills to create something valuable. Perhaps something related to machine learning.

mswen 10y ago
I interviewed [1] Łukasz Kidzinski and Michał Warchoł who started deepart.io. Your situation in academia and interest in possibly building something more commercial mirrors their situation in certain respects. Maybe their story will prove inspiring in some way. One of the most interesting parts of our conversation for me was how they were taking software development methods like Agile and applying them to the research they are doing in academia. Given your age and a secure role in academia it seems to me that side projects and possibly consulting is your route into the commercial world. [1] http://computationalimagination.com/interview_deepart.php http://computationalimagination.com/interview_deepart.php
CyberFonic 10y ago
Seeing that you are gainfully employed in academia and with expertise in an unspecified area related to math (the vague description makes it hard to make good suggestions) I would think that you could explore commercialisation projects related to engineering, bio-engineering, etc. That is, areas that could use both your deep thinking and math abilities and open the door to industry without jumping the academic ship before there is a viable new avenue. From what I have seen both Barcelona and Madrid universities have some excellent research which might be ripe for commercialisation. Of course, you should probably explore potential projects with other universities. Academia - Industry collaborations with a view to commercialisation generally needs entrepreneurial input.

mswen 10y ago

I interviewed [1] Łukasz Kidzinski and Michał Warchoł who started deepart.io. Your situation in academia and interest in possibly building something more commercial mirrors their situation in certain respects. Maybe their story will prove inspiring in some way. One of the most interesting parts of our conversation for me was how they were taking software development methods like Agile and applying them to the research they are doing in academia. Given your age and a secure role in academia it seems to me that side projects and possibly consulting is your route into the commercial world. [1] http://computationalimagination.com/interview_deepart.php http://computationalimagination.com/interview_deepart.php

CyberFonic 10y ago

Seeing that you are gainfully employed in academia and with expertise in an unspecified area related to math (the vague description makes it hard to make good suggestions) I would think that you could explore commercialisation projects related to engineering, bio-engineering, etc. That is, areas that could use both your deep thinking and math abilities and open the door to industry without jumping the academic ship before there is a viable new avenue. From what I have seen both Barcelona and Madrid universities have some excellent research which might be ripe for commercialisation. Of course, you should probably explore potential projects with other universities. Academia - Industry collaborations with a view to commercialisation generally needs entrepreneurial input.