It took me two months to identify a crucial design fail in my platform. ClassPulse, said platform, is a website I am developing that aims to narrow the gap between students and teachers in learning environments. ClassPulse began as an experimental project, where I sought to discover just how far curiosity and personal research could take me for a rather ambitious goal––after all, I am not so well-versed in programming that I could derive a website from a blank document. Howev

Recently, my most pressing issue with the development of AI model at MIT has been refining the data so that it doesn't reflect irrelevant variations. With every data set coming from multiple experiments or sources arrives one considerable issue: small differences in the recordings (typically due to varying biological practices) that can affect results in undesired ways. However, feeding imperfect data to an AI model, the issue I am currently focused on, is just one of many co

Entering the Koch Institute at MIT earlier this December, I was pleased to be greeted yet again by the light bustling of students and researchers, the fast-closing elevator doors, and the faint smell of rat enclosures––though last was definitely not as pleasing. My mission at MIT was simple––discuss the grounds for a new project involving AI for cancer research, specifically for the small intestine. Our team of five, including a computer science PhD, a cancer research profess

As we pass through October, many high schoolers have already started to prepare for what is arguably the most important standardized test in high school––the SAT. One data-related question that the SAT loves to bring up is about the box plot, a simple chart that depicts useful features of a data set like the median, interquartile region, and range. A simple box plot looks like the image below: Today, I will be clarifying how to recognize these features on the box plot chart t

The use of AI chatbots like ChatGPT has become the new hot topic for high schools like my own. Over the past few years, we students have seen many changes––often upsetting ones––in assignments, tests, and grading due to the blooming use of AI. My school, for instance, recently oversaw a significant transformation in essay writing, essentially replacing many out-of-school writing assignments with their in-class counterpart. Our education system seems to believe that it's bette

When I first arrived at the Koch Institute, a research facility at MIT, I expected to spend all my time analyzing tumor growth and dissecting mice. I falsely assumed that, as a cancer research lab, there wouldn't be much diversion from the purely biological elements of the study. I certainly wasn't expecting my computer science knowledge to become my most useful attribute. On my first day of the internship, I spent most of my time observing and catching up on their most recen

" What course are you taking? " That was probably the most commonly asked question at Brown this summer, usually spoken between two students who arrived from miles away, hoping to make new friends on campus for the duration of their two-week stay. Most people had easy answers: "Tropical Marine Biology. What about you?""I'm doing Cancer Informatics." They'd smile, nod, and start asking questions about each other's class. For me, it usually went a bit differently. " What course

Recently, while scrolling through articles on the New York Times , I came across a paper about the creator, Rhayid Ghani, of a nonprofit called "Data Science for Social Good." Curious to know more, I spent some time exploring the nonprofit's page and familiarizing myself with its mission. Data Science for Social Good (DSSG) is a platform where data and computer scientists can come together and form/build upon a project tackling a specific social concern. One particular projec