So I moved into computer science, and at the time people said, oh my god, you know, that I don't know if it's going to sustain, it seems very new, so forth, which just really led to the fact that people didn't understand computer science or the breadth and the richness of it.

But that was how I got into it. I was also very interested in making sure that I wasn't pigeonholed into doing something, meaning chemical engineers, particularly on an industrial scale work on large operations, either petroleum industries or other

chemical other manufacturing industries. And I liked the potential of a lot of variety.

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Richard Jacobs.

Hello, this is Richard Jacobs with the Finding Genius Podcast, not part of the Finding Genius Foundation. I have Patricia Moriade.

She's the professor of computer science and the chair of the Department of Computer Science and Technology at Teen University. We're going to talk about AI and machine learning and error detection. So thank you for coming.

Thank you, delighted to be here. Yeah, tell me a bit about your background and how and why you settled on the AI.

At least currently for your research at work. So great question. Let's see. Once upon a time, I was interested in engineering and science.

And that's usually the way young woman get into STEM fields off of their someone in the family who has introduced some and made science exciting and so forth.

So I was interested in being a chemical engineer when I went to college taking all the good engineering core courses.

And if you're familiar with chemical engineering, you start out with general chemistry and you go into analytical chemistry and then you get into a physical chemistry.

And PCAM was really where I started to realize I did not care what happened when you moved from a solid to a liquid to gas.

If the water was an ice cube, if it was a liquid, if it was steam, I didn't care. And so it was at that point that I realized what else is there available?

I've got this core course curriculum and computer science was coming in and that's really applied solutions, which I found far more interesting than what I was beginning to perceive as failing theoretical work in the field of engineering that I had thought I was headed towards.

So I moved into computer science and at the time people said, oh my god, you know, I don't know if it's going to sustain it seems very new so forth, which just really led to the fact that people didn't understand computer science or the breadth and the richness of it, but that was how I got into it.

I was also very interested in making sure that I wasn't pigeonholed into doing something, meaning chemical engineers, particularly on an industrial scale work on large operations, either petroleum industries or other Dow chemical other manufacturing industries.

And I liked the potential of a lot of variety and really limitless constraints in computer science. That was very, very important to be variety and essentially no limits. So those are a couple driving forces.

Yeah, I did a bachelor's in chemical engineering and I remember he came was was really hard and it was like, well, it was it was an I had I really liked the tactile, you know, Jen Kim analytical chemistry with the titration and then organic chemistry working out when the balance bonds were made when they were broken and what you get if you broke the bonds with eager, whatever.

But man, he came just so could be teaching could be the topic who knows that here I am.

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