Vaibhavi is an incoming MS CS student at NYU, Courant, specializing in Machine Learning. She is also an ACM-W Core Member and a Reviewer for the GHC 2025. Previously, she worked at Adobe on Computer Vision projects. She was also a scholarship recipient from EPFL and Linux Foundation for open-source projects.

Arya is an NLP Engineer at TIFIN India with a focus on AI research and quantum computing. She has majorly worked on conversational AI models and multilingual AI applications. As a DAAD-WISE Scholar, she conducted research on speech recognition models at UdK Berlin/ECDF. Arya is passionate about the intersection of classical and quantum machine learning and is always excited to discuss emerging AI technologies and potential collaborations in quantum computing applications.

Prahitha is an MS CS graduate from UMass Amherst interested in AI/ML research, especially in applications that make a tangible social impact (eg: education and healthcare). She worked on applied ML projects with organizations like Spotify, UNICEF, and Save the Children and is always happy to chat about research questions and potential collaborations that sit at the intersection of real-world utility and ethics.