Daniel Perrefort

Daniel Perrefort is a **Researcher** at the University of Pittsburgh's Department of Physics & Astronomy, part of the Dietrich School of Arts and Sciences. He holds a Ph.D. in Astrophysics and Cosmology (2021) and an M.S. in General Physics (2017) from the University of Pittsburgh, alongside a B.S. in Applied Physics from the University of Connecticut (2014). His research focuses on developing analysis tools for time domain astronomy, particularly leveraging the Large Synoptic Survey Telescope (LSST) to advance supernova cosmology studies. He specializes in Type Ia supernovae, exploring their progenitor systems and diversity to refine cosmological parameter measurements.

**Education**

• Ph.D. in Astrophysics and Cosmology, University of Pittsburgh (2015–2021)
• M.S. in General Physics, University of Pittsburgh (2015–2017)
• B.S. in Applied Physics, University of Connecticut (2011–2014)

**Research Interests**

His work addresses challenges in LSST data analysis, including calibration strategies, atmospheric modeling, and classification of non-standard supernovae. He emphasizes software development for big data workflows and collaborates with the Dark Energy Science Collaboration (DESC) to advance observational cosmology. Daniel also focuses on training researchers in modern software practices, including version control, testing, and high-performance computing (HPC) systems.

**Professional Activities**

• Member of DESC since 2015, leading projects and mentoring junior personnel
• Speaker at workshops such as Rubin Observatory Conferences and the Midwest Workshop on Supernovae
• Developed software tools for DESC and LSST initiatives, contributing to 7 peer-reviewed papers (2 as first author)

**Teaching & Mentorship**

He teaches workshops on software engineering (e.g., Git, HPC, Python) and mentors students and junior researchers in physics and computer science. His efforts have reduced project onboarding time and improved software quality in academic settings.