computer engineering

Hello, and welcome to Grad Chat with Amanda.

Today, I'm joined by John Turnbull, an MASc student in electrical and computer engineering under the supervision of Dr. Ali Atamud and Paul Hungler.

John's research focuses on making machine learning hold up when the real world drifts away from the training data, tackling natural distribution shifts.

His work began with facial, facial expression recognition and is now moving into cognitive load classification from eye-tracking data.

Recently just resigned my Texas Association of Staffing board seat because I moved back to Wisconsin after 12 years in Houston.

And I just landed on the advisory board over at the Milwaukee School of Engineering, Computer Science, and Computer Engineering program.

So I'm highly involved, love education and the future, and I'm addicted to technology and finding really good talent.

Love

A lot of things evolved in my life.

I eventually got a degree in computer engineering.

By the time I graduated, I was already sort of in the development world for almost a decade, which is kind of unusual for a 21 year old, and, um, was sort of ready for my first career shift.

And I realized that technology for me was more of, of a tool to do something, and I was trying to figure out what that something and my mission in life would be.

Maybe you don't need to go to college to make money, maybe you don't need to go to college to get a job, but I think you should go to college for many, many reasons if those are not the right ones.

But I think that what I looked for in my education, I still look, I mean, I went back to, to doctoral program after a long time, um, uh, and, um, in the industry, but, uh, I think it's a, again, a combination of different things.

So if I look at my original choice, um, as my first degree, I looked at computer engineering as the thing to do in the '90s.

A, because my whole life at the time was centered around, you know, becoming a professional in the technology space.