Story

Alex Kimn, Physics, '19

I really enjoyed researching and implemented machine learning programs, and I believe that this is something that I would continue to do in the future.

For my internship, SHI offered me a choice between a project focused in bio-medical engineering and another more oriented towards computer science.  Since I have become increasingly involved with computer science as my undergraduate stay at MIT has progressed, I ended up choosing the latter. And as mentioned earlier, the original overarching themes of the internship were machine learning and image processing. More specifically, the work that I undertook involved producing a program that could recognize humans from raw video streams, utilizing both standard machine learning techniques like Support Vector Machines, and deep learning techniques like convolutional neural networks.

If I were to place my internship work into a specific category, I would say that it was primarily focused on Innovation. Deep learning, the field that my final project centered on, only recently became one of computer science’s top research areas, and the end product incorporated several recent innovations in neural networks.