معرفی
Shirley Ho is an Adjunct Professor in the Department of Physics at Carnegie Mellon University's Mellon College of Science. She is currently a Senior Scientist at Lawrence Berkeley National Laboratory and is affiliated with the Cosmology x Data Science Group at the Flatiron Institute and the Department of Astrophysical Sciences at Princeton University.
Education:
- PhD in Astrophysics from Princeton University (2008)
- B.A. in Computer Science and Physics from UC Berkeley (2004)
Dr. Ho's research focuses on fundamental questions in cosmology, particularly addressing the nature of dark energy and dark matter, which constitute the majority of the universe's energy density. Her work utilizes advanced statistical methods and machine learning techniques to analyze large-scale structure data from galaxy surveys. She is particularly known for her expertise in Baryon Acoustic Oscillations as a standard ruler for cosmological measurements. Dr. Ho combines data from the cosmic microwave background with galaxy distribution measurements to investigate cosmic evolution and constrain cosmological models. Her recent work has increasingly incorporated data science approaches to tackle challenges in astrophysics.
Her publication record demonstrates a consistent focus on large-scale structure analysis, with particular emphasis on the Sloan Digital Sky Survey data. Her work spans theoretical cosmology, observational analysis, and increasingly incorporates machine learning methodologies. The research shows a progression from foundational cosmological measurements toward more sophisticated analysis techniques that integrate multiple data sources.
Scientific Awards:
- Emmy-Noether Fellowship (2015)
- Carnegie Science Award (2015)
- Macronix Prize (2014)
- Chamberlain Fellow (2008)
- Seaborg Fellow (2008)
Dr. Ho has been actively involved in major cosmological surveys including the Sloan Digital Sky Survey III and the Planck mission. Her work on Baryon Acoustic Oscillations has contributed significantly to our understanding of dark energy. She utilizes high-performance computing facilities at the McWilliams Center for large-scale clustering analysis of the universe. Her research group at the Flatiron Institute collaborates with international partners to develop novel approaches to cosmological data analysis.
Dr. Ho is a key member of the Cosmology x Data Science Group at the Flatiron Institute, where she leads efforts to apply machine learning techniques to cosmological challenges. Her work bridges traditional astrophysics with modern data science approaches, creating new methodologies for understanding the universe's structure and evolution.
