Experienced researcher & data scientist with a strong background in writing, teaching, and team management. I'm especially skilled at forming strong connections with interdisciplinary/cross-functional teams, and am driven by the chance to bridge gaps in understanding through a focus on clarity and accessibility in everything that I do, especially by way of storytelling. My work as a data science manager (and previously as a product manager) is a natural confluence of previous experience. Working in technical communications, I developed cross-departmental reports and served as product manager for my company's intranet. Before that, I completed four years of graduate-level research in linguistics at NYU, where I focused on sound systems (phonology, phonetics) and computational methods, with particular interests in languages and phenomena that are traditionally understudied within the field. This is also where I developed my excitement for machine learning models and their applications. I value the chance to develop resources that empower other people: in the conference room, classroom, and beyond. If I had to pick two words to describe my approach to any of my work, they would be (1) curiosity and (2) care. This care is for the people I work with and the people I can impact through my work. I'm passionate about data: we should care about the people behind the numbers, be responsible about how we report information, and make our work accessible so that it can be useful to others. For me, this means being curious and creative in my approaches to data collection & analysis while valuing transparency & explicitness above all else.