To many, coding may not seem as applicable to a lot of things in your daily lives. I mean, most people aren't computer scientists who work with code all day. Well, contrary to belief, coding is all around us. From our phones, health, entertainment and many other things, coding is everywhere. Many researchers use coding as well. With our world technologically advancing, researchers have used coding to help their own research in various aspects. One of our founders, Trevor Chen, shows us this in his own research! Read about how Trevor was able to use coding in his own research! We're pretty excited about the versatility of Computer Science! You see, Computer Science isn't just about math or complicated algorithms; it's a fundamental part of our everyday lives. It helps automate tasks, enhances problem-solving skills, and deepens our understanding of complex issues. But what really gets us going is how Computer Science meshes with STEM (Science, Technology, Engineering, and Mathematics).
In our recent classes, we've been laying the foundation for integrating Computer Science into STEM. Think of it as using coding to simulate experiments or turbocharge data processing. What might seem mind-boggling to us humans becomes crystal clear through the eyes of a computer (well, lines of code, to be precise). To make this happen, we've been teaching our students some nifty algorithms and problem-solving techniques unique to computer programming. They've already tackled the basics, like search, sort, simulation, and greedy algorithms. Soon, they'll be all set to embark on their STEM adventures.
But let's take a moment to highlight the journey of our founder, Trevor Chen, in the world of coding and STEM. Trevor has been knee-deep in a computational biology project. Now, you might wonder what biology has to do with coding, but it turns out they're a perfect match! Trevor's work at a UCSD lab involved using code to set up simulations that could assess the effectiveness of different medicines. This wasn't just any project; it focused on finding treatments for cataracts, a complex human health issue. Trevor's approach involved testing thousands of drugs, and he even employed machine learning to create a smart model that narrowed down millions of compounds to just a select few.
If you're curious to learn more, you can dive into the nitty-gritty of Trevor's research methods and results on Elsevier. Here's the link: [https://www.sciencedirect.com/science/article/pii/S2667376223000306]. So, there you have it, a real-world example of how Computer Science and STEM can team up to make incredible discoveries in the world of science and medicine.