I am a third-year Societal Computing PhD student in the Software and Societal Systems Department at Carnegie Mellon University. Prior to coming to CMU, I graduated from MIT in 2018 with a Bachelor of Science degree in Computer Science and a Master of Engineering (MEng) degree in Electrical Engineering and Computer Science. Industry positions include:

  • software engineering summer intern at IMC Financial Markets on a fullstack web development project (React, Go, and MongoDB)
  • full-time software engineer at Mastercard Data & Services for 2.5 years on projects ranging from fullstack web development (React, C# .NET, and SQL Server) to analytic research (R and Python).
  • summer research intern at IBM Research in AI Engineering (Python)


I am broadly interested in applying AI and machine learning techniques to problems in the humanities and social sciences. To that end, as an undergrad at MIT, I worked at CSAIL on handwritten digit recognition technology with the end goal of detecting mental illnesses like Parkinson’s and Alzheimer’s, and for my MEng degree, I worked in the MIT Media Lab on building models to estimate emotions from facial images, which in turn can eventually be used in a myriad of different ways (including but not limited to assessing engagement or detecting conditions like anxiety and depression). Currently, my primary areas of research are:

  • algorithmic fairness
  • music information retrieval
  • participatory machine learning
  • social good applications of AI and ML
  • sustainability

Collaborators and Mentors

I have had the privilege of working with a variety of exceptional researchers over the years. They include the following:


I am personally supported by a GEM Fellowship and an ARCS Scholarship. Additionally, a project I am working on with my advisors is supported by an NSF-Amazon Fairness in AI Research Award.