V. Ashley Villar

Victoria Ashley Villar
Born
Vero Beach, Florida,
United States
CitizenshipAmerican
Alma mater
  • MIT (B.Sc. 2014)
  • Harvard University (Ph.D. 2020)
Known forTime-domain astronomy
Scientific career
Fields
  • Astronomy
  • astrophysics
Institutions
  • Columbia University
  • Pennsylvania State University
  • Harvard University
Websitehttp://ashleyvillar.com/

Victoria Ashley Villar is an American astrophysicist who studies the death and collision of stars and their by-products using machine learning.[1] She also researches the origins of the heavy elements. She is currently an assistant professor at Harvard University.[2]

Early life and education

After graduating from the Vero Beach High School in Florida,[3] Villar attended the Massachusetts Institute of Technology (MIT), where she received her Bachelor of Science in Physics with a minor in Mathematics in 2014.[2] As an undergraduate, she wrote her senior thesis on asteroseismology with the assistance of professors John Johnson and Josh Winn.[3] She earned her Ph.D. in Astronomy and Astrophysics from Harvard University in 2020.[2] Villar was subsequently a postdoctoral researcher at Columbia University. After her time at Columbia, Villar became a faculty member at Pennsylvania State University from 2021-2022 and eventually left to return to Harvard as an assistant professor.[4] She was listed in the Science Category of the Forbes 30 Under 30 list in 2022.[5]

Research and awards

In February 2024, Villar and her research team had a funded three-day workshop by the Harvard Data Science Initiative (HDSI) Faculty Special Projects Fund to work with the same software used during the 2018 Photometric LSST Astronomical Time-Series Classification Challenge (PLAsTiCC)[6] in order to study anomaly detection in celestial observations.[7] Villar is listed among model contributors on the PLAsTiCC meet the team webpage.[8] Villar also uses data from the Vera C. Rubin Observatory in her work,[1] for which she has received multiple awards.[9][10][11] Additionally, she studies the thermal radiation emitted by binary neutron-star mergers, known as kilonovae in relation to gravitational-wave detectors and multi-messenger studies within time-domain astrophysics.[12][13]

Villar considers the use of machine learning to be fundamental to her work, comparing it to the adoption of statistics in scientific research, an important—even revolutionary—step forward.[14] Machine learning saves time and energy in analyzing massive data sets encountered in astronomy and astrophysics.[15] However, she cautions against the uncritical use of this technology when simpler techniques, such as linear algebra, could do better.[14]

See also

References

  1. ^ a b Manning, Anne J. (October 15, 2024). "Astrophysicist Ashley Villar named a 2024 Packard Fellow". Harvard Gazette. Retrieved March 14, 2025.
  2. ^ a b c "Ashley Villar". astronomy.fas.harvard.edu. Retrieved February 18, 2024.
  3. ^ a b "V. Ashley Villar". ashleyvillar.com. Retrieved April 7, 2024.
  4. ^ "Harvard University".
  5. ^ "Victoria Ashley Villar". Forbes. Retrieved March 17, 2024.
  6. ^ The LSST Dark Energy Science Collaboration and the Transient and Variable Stars Science Collaboration (July 26, 2019). "Models and Simulations for the Photometric LSST Astronomical Time Series Classification Challenge (PLAsTiCC)". Publications of the Astronomical Society of the Pacific. 131 094501. arXiv:1903.11756. doi:10.1088/1538-3873/ab26f1.
  7. ^ "Ashley Villar's Proposal on Time-domain Astrophysics Anomaly Detection Secures Funding from the Harvard Data Science Initiative – HDSI". datascience.harvard.edu. Retrieved February 9, 2025.
  8. ^ "Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC)". Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC). Retrieved February 9, 2025.
  9. ^ "RCSA Bridge Award". Research Corporation for Science Advancement (RCSA). September 15, 2025. Retrieved February 8, 2026.
  10. ^ "Ashley Villar wins RCSA Awards! | Department of Astronomy". astronomy.fas.harvard.edu. January 15, 2026. Retrieved February 8, 2026.
  11. ^ "Early Science with the LSST". Research Corporation for Science Advancement (RCSA). March 18, 2025. Retrieved February 8, 2026.
  12. ^ Krastev, Plamen G.; Gill, Kiranjyot; Villar, V. Ashley; Berger, Edo (April 10, 2021). "Detection and parameter estimation of gravitational waves from binary neutron-star mergers in real LIGO data using deep learning". Physics Letters B. 815 136161. arXiv:2012.13101. doi:10.1016/j.physletb.2021.136161.
  13. ^ https://ctoc.igc.psu.edu/faculty-profile-victoria-ashley-villar/
  14. ^ a b Duffy, Hewson (June 4, 2024). "'Hyped Just About Right': How the AI Boom is Reshaping Research at Harvard". The Harvard Crimson. Retrieved July 5, 2025.
  15. ^ Swayne, Matt (March 16, 2023). "Machine learning takes starring role in exploring the universe". Penn State News. Retrieved July 5, 2025.

Further reading

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