About

Motivation and Main Principle:

My academic interest primarily lies in software development, artificial intelligence (AI), and AI governance, driven by a passion for advancing innovation while safeguarding the values that define our humanity. As we advance our technological capabilities, I believe we must also cultivate the ethical, social, and intellectual frameworks necessary to guide responsible progress.

Professional Experience

I’m currently a software developer at Harvard University working on applications for the university’s graduate school, the Divison of Continuing Education (DCE).

Previously, I was a Health Policy & Data Intern at Massachusetts General Hospital where I worked on a COVID-19 outbreak simulator that predicted the trends of the pandemic across the nation. This program has been later used by the Center for Disease Control (CDC) in efforts to mitigate the spread of COVID-19.

I have also been an independent biology researcher at Brandeis University where I studied genetic expression during cell replication. This followed my work I did at Tufts University as a biomedical engineer research intern. My resaerch there focused on the potential of silk hydrogels in medicine. The paper can be found here.

Relevant Coursework

• Fundamentals of Software Engineering
• Fundamentals of Natural Language Processing I
• Web Application Development
• Computer Security
• Data Structures & Algorithms
• Discrete Structures
• Operating Systems

• Digital Cultures (anthrology class that focuses on the intersection of technology and society)

• Linear Algebra for Machine Learning (online, Coursera, Imperial College London)
• Supervised Machine Learning: Regression & Classification (online, Coursera, DeepLearning.ai)

• Machine Learning & Deep Learning (online, fast.ai)

• Biomedical Ethics
• American Healthcare