Academic interests
Cosmic Microwave Background (CMB); high performance data reduction and simulations in cosmology experiments.
Background
I have worked at the interface of high performance computing and cosmology for over twenty years. I started with mapmaking methods for the Planck satellite and expanded my portfolio to noise characterization, pointing reconstruction, beam calibration and other aspects of the data reduction pipeline. Then came simulations of realistic and hypothetical datasets for Simons Observatory and CMB-S4.
I was the lead engineer on the Planck NPIPE data reduction and simulation pipeline and I am developer on TOAST, the Time-Ordered Astrophysics Scalable Toolset used for simulations and data reduction for multiple CMB experiments.
Awards
- NASA Exceptional Public Achievement Medal (2021)
- EPS Giuseppe and Vanna Cocconi Prize – WMAP and Planck Collaborations (2019)
- Gruber Cosmology Prize – Planck Collaboration (2018)
- Royal Astronomical Society Group Award – Planck Collaboration (2018)
- NASA Group Achievement Award – Planck Data Analysis and Operations Support Team (2011)
Appointments
- Lawrence Berkeley National Laboratory, Computational Research Division, Computer systems engineer (2013-2026)
- University of California Berkeley, EECS, Assistant research engineer (2012-2013)
- Jet Propulsion Laboratory, California Institute of Technology, Postdoctoral scholar (2009-2012)
Positions held
- CMB-S4 collaboration, Data Reduction co-lead (2017-2025)
- Simons Observatory collaboration, Data Simulation lead (2016-)
- Planck collaboration: Planck Scientist and Core Team member in LFI and HFI consortia (2006-2020)
Education
- University of Helsinki, Ph.D. in Theoretical Physics (2009)
- University of Helsinki, M.Sc. in Theoretical Physics (2006)