Show Notes

We've deliberately chosen to design privacy into Clinnect. This means using cryptography to ensure that only the intended recipient is able to view patient data. In fact, as builders of the software, we can't even see the patient data.

For the curious, Chris suggests these articles to better understand cryptography:

• Crypto101 is a great book for learning cryptography basics. It’s very long but thorough and free: https://www.crypto101.io/
• The API we use to do this securely in the browser is the WebCrypto API: https://developer.mozilla.org/en-US/docs/Web/API/Web_Crypto_API
• Two of the models we based our cryptography on were the Firefox sync model and the Lastpass model. Breakdown on those here: https://hacks.mozilla.org/2018/11/firefox-sync-privacy/ & https://enterprise.lastpass.com/wp-content/uploads/LastPass-Technical-Whitepaper-3.pdf

We highly recommend using a password manager like Last Pass to keep yourself safer on the internet. Many are free, including Last Pass.

Fact Check

The LifeLabs hack was one of the largest data breaches in Canadian history. An estimated 15 million Canadians were affected.

Find Us Online

Angela Hapke - @angelahapke - https://www.clinnect.ca

Jonathan Bowers - @thejonotron - https://www.twostoryrobot.com

Chris Foster - @chrisfosterelli - https://fosterelli.co/

Credits

Produced by Jonathan Bowers and Angela Hapke

Music by Andrew Codeman (CC BY 3.0)

Transcript

Jonathan: Check this out, Chris. So we've got these new pop filters. This is it. Without the pop filter, Peter Piper picked a Peck of pickled peppers.

[00:00:09] And with the pop filter, Peter Piper picked a Peck of pickled peppers

[00:00:15] Chris: So much better.

[00:00:16] Angela: Isn't

[00:00:17] Jonathan: then better.

[00:00:17] Chris: I feel a little bit like the black sheep, because I am I'm that person who joins the podcasts and does not have a high quality bike. And I know as a listener, whenever I hear that, I'm like, Ugggg!

[00:00:30] Angela: Do you? Because I'm more like, Oh, thank God. Not everybody has everything in their house.

[00:00:38] Chris: I usually just skip podcasts that, that are guests like me.

[00:00:45]Introduction

[00:00:45]

[00:00:45] Jonathan: Hi, I'm Jonathan Bowers

[00:00:49]Angela: and I'm Angela Hapke. And I went camping for the first time with my family. Last weekend, we bought a

[00:00:57] new tent trailer

[00:00:58] Jonathan: the first time ever.

[00:01:00] Angela: with all four of us. Yup.

[00:01:02] Jonathan: Oh, wow.

[00:01:03] Angela: Yeah.

[00:01:04] Jonathan: anyone get any sleep?

[00:01:05]Angela: So we bought it a popup trailer and Brad and Alex were on one side and Nora and I were on the other side. One half of the trailer got sleep. It was not my side.

[00:01:19] Oh, I promptly when I got home ordered memory foam, like two inch memory foam toppers for the mattresses, because both Nora and I were like, Oh, heck no, we're not doing that.

[00:01:34] we joke that our children are like drunk octopuses, trying to search for their keys when they're sleeping at night. Like that's a bit how Nora is. So yeah, it was a lot of like toe kicks to the kidneys and moving around and yeah, it was tough.

[00:01:51] Today we have a guest, uh, the chief technology officer at Two Story Robot. Can you introduce yourself?

[00:01:58]Chris: Hi, my name is Chris Foster. I'm like you said, the chief technology officer at Two Story Robot. I have been building web applications for about a decade now. Um, and before that I was into computer security, pretty heavily. I have a degree in computer science with a specialization in software engineering, as well as a graduate degree in computational neuroscience and artificial intelligence.

[00:02:29] Angela: Oh my goodness. A lot of those words didn't make sense to me, but that's

[00:02:36] okay.

[00:02:36] Jonathan: you said, computational neuroscience, that's an obscure term that. So what, what does that mean?

[00:02:41] Chris: yeah. We use machine learning models to better understand how language is processed in the human brain.

[00:02:47]Jonathan: How did you do that?

[00:02:48]Chris: We put some people in a very uncomfortable machine. It's called a EEG machine. So. They put a whole bunch of goop in your hair and sensors. And then we make you sit in a dark room or of what feels like a very long time staring at symbols on a screen, as you learn to map those to English words. Uh, we tried to replicate sort of replicate an experiment that was done with a much, much more expensive machine.

[00:03:12] And then we showed that you don't necessarily need the $1.5 Million machine and said, you can do it. Uh, with something that's more in the range of $60,000. We did it while trying to learn kind of a language that we made up, which was something that was new too.

[00:03:25]Jonathan: That's cool.

[00:03:25] Angela: That is cool.

[00:03:27] Chris: it was a fun project, but yeah, I definitely nothing like graduate studies to also make you feel like you have no idea about computational neuroscience, more questions than answers at the end of it, it often feels like.

[00:03:39]Jonathan: You've expanded your knowledge a bit, but you've also expanded that surface area of things, you know, that you have no idea about. Um, which I like, I like that feeling. I like knowing that there's all this world of things that I don't know, uh, it feels like a better place than not knowing that that stuff exists.

[00:03:55]Um, It's it's something that I talk. So I talk about this with the team every now and again. And I like my goal for our team is not to not to expand the circle of knowledge of things they know. It's to expand the circle of knowledge of things they know they don't know because that stuff you can go and learn.

[00:04:18]you don't need to know all that, all that stuff. You need to know that it exists and that you can go and find it.

[00:04:23] Angela: I think you're right. And I think that's probably a good segue into what we're talking about today. Ah,

[00:04:29] Chris: It is because computer science follows a very similar learning curve. I think.

[00:04:33]Angela: As the...