Hi Ryan, and thank you for agreeing to this interview. Let's start with your background. Could you tell us about your experience, please?
My name is Ryan. I originally studied material science at Manchester. I was super interested in how to regenerate organs using materials. And then, once I finished my undergrad, I thought how it feels a bit like an old making these materials and hoping things would grow. So I wanted to start questioning the science of why something would grow in specific ways. Then, that led me to Cambridge, and I was pretty interested in combining sensors with biology.
In my first year in Cambridge, I did much sensing and probing biology to understand better. And I figured, okay, we can measure this stuff, but we still don't understand why biology is the way it is. So, during my Ph.D., I'm trying to work out how the eyes connect to the brain, so it's a combination of sensing and material science. Then I put all this into a computational model and understand how the eyes connect to the brain in development. During my Ph.D., I got more and more interested in software, I started doing a lot of machine learning.
I spent a year at a start-up, where I led a lot of the development for a company trying to detect Appleton Orchards from drone imagery. I stopped that about six months ago when I started the Turing Talent program.
Yeah, there was a fair amount of kind of leadership in terms of project leadership in the last role that I was in.
Well, how did you find out about this program of Turing Talent?
I found out about this program on LinkedIn, and then I made an application on the website.
What were your expectations from this leadership program?
I was excited to start a new project, and then some of the parts of the leadership program were an added benefit to the program.
What projects did you build/work on during your internship?
During the internship, I worked for a company called Cognitive Dx. This company aims to collect data on patients and help memory clinics predict when somebody might have dementia. And if there's a particular subtype of dementia that patients have, they can detect it earlier and start providing treatment.
What about technologies. Which technologies did you use?
I've used a vast number of technologies during the project. I've mainly been programming in Python using Scikit learn because it's often quite challenging to find the exact hyperparameters that you need for these models. I've been using many auto ML frameworks to help find the best models and future-proofing. The models and usage use Docker to containerize all these different models and model environments.
What qualities did you gain during the leadership program?
Speaking with Andrew, one of the mentors, was good. I got more particular insight into how large-scale DevOps worked within Google, which was a precious experience.
How did the leadership program contribute to your long-term career goals?
It has given me more clarity about what I want to do next once I finish the Ph.D.
That's the important one. How did Turing Talent play a role in finding an internship for you and helping during the application process?
It was terrific that Turing Talent offers positions from relatively several different companies. So, there are quite many options for me to choose from. So, I think that was valuable in pairing me with additional employees and would be reasonably tailored to the requirements I had asked for.
Lastly, what do you say to people considering joining the leadership program of Turing Talent?
Anybody else in my position, I encourage them to do this because I think overall it's been a good experience. Especially people from more, not computer science but scientific disciplines, I think it's a good experience.
Thank you, Ryan, for your truly inspiring journey in tech. Although it was a short interview, you shared valuable information with us.
Make sure to check out Cogni.dx case study to find out how they benefited from Turing Talent. For more success stories click here.