Summary
Julia Wilkins is a Computer Science PhD candidate at NYU’s Music and Audio Research Laboratory, specializing in machine listening and audio-focused ML. With a decade of industry and research experience, she has bridged product-scale data engineering at Sonos with audio research internships at Adobe, Bosch Research, and SiriusXM. Her work spans explainable audio representation learning and practical data pipeline redesigns, and she has contributed to dataset and tool development dating back to MedleyDB and VocalSet. Passionate about mentorship and outreach, she volunteers with Microsoft TEALS and animal welfare organizations while mentoring undergraduate courses in music and audio computing. An avid climber, trail runner, and cyclist, she brings the same endurance and precision from her outdoor pursuits into long-term research projects.
10 years of coding experience