In the past I have been very interested in the overlap of healthcare and computing. In the past I've worked with some of my biology/neuro friends to develop apps that use data modelling and algorithms to diagnose health problems in CT scans. My main language that I have used in my last two jobs has been Python. I have experience in web development in Flask working on both academic and personal projects constructing server-side scripts. I also have taken several courses in machine learning, artificial intelligence, and statistics, so I have a background in data modelling and analysis. Further, in my internship this previous summer, I used CI/CD on GitLab to continuously deploy python scripts to an AWS instance.
Greenspace
The first thing that struck me about the presentation was how the company culture is extremely team-oriented. In my past experience, doing software engineering projects with a team whose goal is to help and improve their coworkers is perfect for me. I have experience in front-end web design, databases with MySQL, and algorithms pertinent to time scheduling. I also am available at the 4:00-5:15 time slot mentioned in the description.
Activity Recognition
One of the reasons I got into machine learning in the first place was the ability to detect subtle trends in data more quickly and accurately than a human can, regardless of how many parameters are involved. Dr. Lee's project about recognizing activity in a secure and localized way sounds like an exciting application of these models. As I mentioned above, I have experience in machine learning through school and through personal experience with neural networks and other models. I would be grateful if given the opportunity to help train and develop models for a practical application of ML.
AppArmor
I've always felt that a major barrier to entry for a lot of open-source software is the amount of background knowledge required. Not knowing the litany of command line prompts required to interact with this software is a barrier to entry that has alienated many from diving in (myself included). A hackable GUI is, to me, an ingenious idea to help make this into a reality. I have completed CS1550, so I do have a systems background, as well as a knowledge of the C language and OOP principles.
In the past I have been very interested in the overlap of healthcare and computing. In the past I've worked with some of my biology/neuro friends to develop apps that use data modelling and algorithms to diagnose health problems in CT scans. My main language that I have used in my last two jobs has been Python. I have experience in web development in Flask working on both academic and personal projects constructing server-side scripts. I also have taken several courses in machine learning, artificial intelligence, and statistics, so I have a background in data modelling and analysis. Further, in my internship this previous summer, I used CI/CD on GitLab to continuously deploy python scripts to an AWS instance.
The first thing that struck me about the presentation was how the company culture is extremely team-oriented. In my past experience, doing software engineering projects with a team whose goal is to help and improve their coworkers is perfect for me. I have experience in front-end web design, databases with MySQL, and algorithms pertinent to time scheduling. I also am available at the 4:00-5:15 time slot mentioned in the description.
One of the reasons I got into machine learning in the first place was the ability to detect subtle trends in data more quickly and accurately than a human can, regardless of how many parameters are involved. Dr. Lee's project about recognizing activity in a secure and localized way sounds like an exciting application of these models. As I mentioned above, I have experience in machine learning through school and through personal experience with neural networks and other models. I would be grateful if given the opportunity to help train and develop models for a practical application of ML.
I've always felt that a major barrier to entry for a lot of open-source software is the amount of background knowledge required. Not knowing the litany of command line prompts required to interact with this software is a barrier to entry that has alienated many from diving in (myself included). A hackable GUI is, to me, an ingenious idea to help make this into a reality. I have completed CS1550, so I do have a systems background, as well as a knowledge of the C language and OOP principles.