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Ask HN: CS Researchers, why did you choose your subfield and niche?

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Re: Ask HN: CS Researchers, why did you choose your subfield and niche?

#21
post #15

I chose to focus on computational biology because I had an amazing professor that I wanted to work with. That being said, an amazing professor != amazing advisor... something I discovered when trying to finish my PhD and he decided to take a sabbatical to Kenya to do missionary work :(. I got enough statistics and machine learning experience in graduate school to be doing machine learning research now as part of the…

Oh wow TD Gammon was also partially responsible for inspiring me into a machine learning -> data science direction :) My dad brought me up playing backgammon so I had a fair understanding of all the heuristics involved - it was amazing to see a computer could learn them fairly well by itself.

True about switching fields with ml, after a while in evolvable hardware I did a joint PhD in geography + computer science, and have been making socioeconomic simulations of various kinds for the last 10 years. Nowadays I'm trying to reacquaint myself with core cs research, as looking for a lectureship I realized I'm always going to be stronger teaching cs than geography.

Re: Ask HN: CS Researchers, why did you choose your subfield and niche?

#23
The research field chooses you. Who do you have access to that influences your perspective on the world. I had professors in undergrad who focused on cryptography and security. I did several independent studies in cryptography. That led me to work at a company that worked in cryptography, and programming language design. the job I was put on at that company had me working on programming language design for machine learning. My friend started working in physical oceanography, and gained access to large amounts of acoustic ocean monitoring data. at the same time my dad started asking questions about how to measure light pollution from photographs, pushing me into image processing. I decided to go back to school for machine learning in order to sort out that data. I focused on identifying whale songs and measuring light pollution, pushing me into machine learning for signal processing. Now I work in machine learning research for identifying security vulnerabilities in compiled binaries. My side projects research now is in natural language processing and information retrieval on medical texts. This is because the graduate school I chose happened to be a medical University.
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