Tharindu Jayasinghe Email & Phone Number

San Jose, California, United States

Berkeley, California, United States

• Managed a NASA funded scientific program to discover quiescent black holes and neutron stars in the Galactic neighborhood using large spectroscopic and photometric datasets.
• Led a spectroscopic follow-up program and developed a python based data analysis pipeline to measure the radial velocities (RVs) of binary stars using data from the Lick Observatory.
• Developed python packages to model the spectral energy distributions and fit observed time series photometry of binary stars… Show more
• Developed python packages to model the spectral energy distributions and fit observed time series photometry of binary stars using Markov Chain Monte Carlo sampling.
• Built an XGBoost classifier to identify ~580,000 RV variable stars out of a catalog of ~34 million stars.
• Enhanced a deep learning framework that interpolates synthetic stellar spectra, and increased the number of pixels in the output by ~27x, allowing for the compression of an ~18 GB dataset into a ~10 MB PyTorch model.

Columbus, Ohio, United States

• Led the analysis of time series photometric variability of stars for the All-Sky Automated Survey for Supernovae (ASAS-SN).
• Developed a machine learning based pipeline using the scikit-learn random forest classifier to identify and classify variable stars from a dataset consisting of >10 billion individual brightness measurements for 60.
• Published the first all-sky catalog of homogeneously identified and classified bright variable stars, totaling… Show more
• Published the first all-sky catalog of homogeneously identified and classified bright variable stars, totaling ∼660,000 variables and including ∼220,000 new discoveries, an improvement of 50% over existing catalogs.
• Led the ongoing citizen science project "Citizen ASAS-SN", which has collected >1.5 million classifications of time series data from over 5,600 citizen scientists worldwide.
• Published 12 first author peer-reviewed papers describing the scientific output of this project, including the discovery of rare variable stars and new insights into the physics of binary stars.

Columbus, Ohio, United States

Doctor Of Philosophy - Phd, Astronomy

Thesis title: The discovery and characterization of variable stars in the All-Sky Automated Survey for SuperNovae Advisors: Prof..

Master Of Science - Ms, Astronomy

Bachelor Of Science - Bs, Physics, 4.0