yanngagnon

If you don't need sound, or don't need to present the sound to the user in sync with the content, the still image solution is obvious.

That's the thing. First principles thinking would say to look at that 200Mb/s and figure out what you can lose, before compressing.

Location: Toronto, Canada

Remote: Yes

Willing to relocate: Not at present.

Technologies: medical imaging, python, MONAI, eye-tracking, C#

Resume/CV: Upon request

Email: gagnon _.dot._ yann _.@._ gmail.com

Former founder, 15 years of experience in the medical imaging space, 5 years in AI. Keenly interested in how expert users interact with AI meant to help them.

Even if we knew nothing about how the brain works (since we know very little in the grand scheme of things), this idea breaks down immediately from an evolutionary perspective. Given its energy requirements and the fact that brain development is essentially delayed in humans so that the baby may exit the birth canal, it would make on sense for any portion of the brain to be unused.

How was your publication record during your PhD and Postdoc? What kind of related output did you have during your time in industry (patents, collaborations with any institutions, mentoring of junior devs or co-op students)? Will you want to springboard your research from your postdoc work or start anew? These questions are rhetorical mostly, but will be major parts of your application.

I ended up starting a startup based on the research program I had pitched for that tenure-track position. I didn't have a post-doc to springboard from and the university didn't have the equipment (MRI scanners) for me to continue from my PhD work. I welcomed the opportunity for a change anyhow.

I've had to wind down the startup last fall unfortunately. We had launched a pilot, which covid-19 killed. Ran out of money. Looking for my next opportunity right now actually.

The thing that bugs me about people comparing technologies to how the brain works or saying their technology is built like the brain is that yes, the brain has processing units that are connected, but the timing and speed of those connections is critical in the brain working properly. In large part this is mediated by the myelin sheath. If something happens to the myelin, like in multiple sclerosis, the brain starts malfunction even though the same connections are still there.

What's your starting point? BSc or BEng?

If that's the case, you'd definitely get into grad school to do your masters, then your phd. You'd likely have an easy time getting a post doc, but you might have to move (may not be able to be picky on where). Then comes the tough part, getting a tenure-track position. Very tough. And all the way until that point, you're getting paid much less than what you likely make now.

I almost obtained a tenure track position after after 4 years in industry which followed my PhD. No postdoc. I was one of the final 3 candidates to do the whole 2 day interview on campus, pitch a research program, teach a mock class, etc. The first day was 14 hours and the second day was about 10. It was gruelling. Then I waited 4 weeks for the rejection. I was disappointed, but then relieved. I was beaten out by someone who had an existing research program they were brining with them from another institution and grant money that went along with it. It was impossible for me to compete on that front coming from industry.

For example, Epic EHR has its own parody account of all the problems the software causes its users.

You may be interested in what Trajekt Sports are building.

https://trajektsports.com/