Suchetha Cooray
Email : cooraysuchetha@gmail.com

Website: https://suchethac.github.io

E DUCATION AND A PPOINTMENTS••••••

Stanford University, KIPAC Fellow

California, USA

Kavli Institute for Particle Astrophysics and Cosmology

Nagoya University, Postdoctoral Researcher

May 2024 -Nagoya, Japan

Kobayashi-Maskawa Institute for the Origin of Particle and the Universe

National Astronomical Observatory of Japan, JSPS Postdoctoral Fellow
Division of Science

Nagoya University, Doctor of Science
Division of Particle & Astrophysical Science, Graduate School of Science

Nagoya University, Master of Science
Division of Particle & Astrophysical Science, Graduate School of ScienceNagoya University, Bachelor of Science
Fundamental & Applied Physics Program, School of ScienceApr 2024

Tokyo, JapanApr 2023 - March 2024

Nagoya, JapanOct 2020 - Mar 2023

Nagoya, JapanOct 2018 - Sep 2020

Nagoya, JapanOct 2014 - Sep 2018

F ELLOWSHIPS & AWARDS• Kavli Institute for Particle Astrophysics and Cosmology Postdoctoral Fellowship, 2024: Stanford
University & SLAC National Accelerator Laboratory• Barry M. Lasker Data Science Postdoctoral Fellowship, 2024 (declined): Space Telescope Science Institute,USA• Dunlap Postdoctoral Fellowship, 2024 (declined): Dunlap Institute for Astronomy and Astrophysics,University of Toronto, Canada• Doctoral Thesis, March 2023: Accepted without revision• Ph.D. Professional Toryumon 2023: Summa Cum Laude• JSPS Research Fellow (DC1), Apr 2021 - Mar 2024: Japan Society for Promotion of Science grant number
JP21J23611. Research budget: ¥2,200,000. Stipend of ¥2,400,000 per annum.
• Ph.D. Professional Toryumon, Oct 2020 - Mar 2023: Program for Leading Graduate Schools, Nagoya
University. Research budget: ¥700,000. Stipend of ¥2,400,000 per annum.
• Best Presenter in Science & Technology Session, Dec 2021: Sri Lanka Students’ Association Annual
Research Conference 2021, Tokyo, Japan.
• Japan Student Services Organization Scholarship, Oct 2020: ¥1,584,000• Best in Sri Lanka for Computing, Jun 2014: Cambridge International Advanced Level Examinations.
• Most Outstanding Student of the Year 2013/2014: Lyceum International School Wattala, Sri Lanka.

P UBLICATIONS
ORCiD is 0000-0002-9217-1696. NASA/ADS list can be accessed here.
• Iwasaki, D.; Cooray, S.; Takeuchi, T. T.; "Extracting an Informative Latent Representation ofHigh-Dimensional Galaxy Spectra", NeurIPS accepted (arXiv:2311.17414)• Matsui, S. A.; Takeuchi, T. T.; Kono, K. T.; Cooray, S.; "Photometric Observations and Period Analysis of
an SU UMa-type Dwarf Nova, MASTER OT J004527.52+503213.8", JAAVSO, 51, 1, 111• Cooray, S.; Takeuchi, T. T.; Kashino, D.; Yoshida, S. A.; Ma, H.; Kono, K. T.; "Galaxy Manifold:
Characterizing and understanding galaxies with two parameters", 2023, MNRAS, 524, 4, 4976

• 竹内 努, 河野 海, Cooray, S., 西澤 淳, 村上 広耶, 馬 海霞, 本武 陽一, 2023, “位相的データ解析による銀河分布の定量化 とバリオン音響振動抽出”, 2023, 統計数理
• Cooray, S.; Takeuchi, T. T.; Ideguchi, S.; Akahori, T.; Miyashita, Y.; Takahashi, K.; "Wavelets andsparsity for Faraday tomography", 2023, PASJ, 75, 1, S85• Takeuchi, T. T.; Yoshida, S. A.; Cortese, L.; Wong, O. I.; Cartinella, B.; Cooray, S.; "Estimation of theStar Formation Rate of Galaxies with Radio Continuum Obtained with Murchison Widefield Array",submitted (arxiv:2204.00831)• Takeuchi, T. T.; Yata, K.; Aoshima, M.; Ishii, A.; Kono, K. T.; Nakanishi, K.; Egashira, K.; Cooray, S.;
Kohno, K.; "High Dimensional Statistical Analysis and its Application to ALMA Map of NGC 253",
submitted (arxiv:2203.04535)• Cooray, S.; Takeuchi, T. T.; Akahori, T.; Miyashita, Y.; Ideguchi, S.; Takahashi, K.; Ichiki, K.; "An
Iterative Reconstruction Algorithm for Faraday Tomography", 2021, MNRAS, 500, 4, 5129
• Kono, K. T.; Takeuchi, T. T.; Cooray, S.; Nishizawa, A. J.; Murakami, K.; "A study on the Baryon
Acoustic Oscillation with Topological Data Analysis", submitted (arxiv:2006.02905)• Cooray, S.; Takeuchi, T. T.; Yoda, M.; Sorai, K, "A Method for Unmasking Incomplete AstronomicalSignals: Application to CO Multi-line Imaging of Nearby Galaxies Project", 2020, PASJ, 72, 4, 61• Sorai, K.; ... ; Cooray, S.; et. al. , "CO Multi-line Imaging of Nearby Galaxies (COMING). IV. Overview ofthe project", 2019, PASJ, 71, 1, S14T EACHING• I conducted a data science tutorial in python as a master student to an international audience ofmore than 50 participants ranging from master students to postdoctoral researchers at the 9thEast Asia School and Workshop on Laboratory, Space, and Astrophysical Plasmas.
• TA for Physics Laboratory 1, Fall 2021, Nagoya University• TA for Physics Laboratory 2, Spring 2020, Nagoya University• TA for Physics Laboratory 1, Fall 2020, Nagoya University• TA for Physics Laboratory 2, Spring 2019, Nagoya University• TA for Fundamental Physics Tutorial 2a, Spring 2019, Nagoya University• TA for Fundamental Physics Tutorial 1a, Fall 2018, Nagoya University

S CIENTIFIC C OLLABORATIONS• CO Multi-line Imaging of Nearby Galaxies (COMING): Member• SKA-Japan Galaxy Evolution Science Working Group: Member• SKA-Japan Faraday Tomography Engineering Working Group: Member• CAMELS: Member

E XPERIENCE•••

Kavli Institute for Theoretical Physics
Building a Physical Understanding of Galaxy Evolution with Data-driven Astronomy

Santa Barbara, USAMar 2023

Center for Astrostatistics, Pennsylvania State UniversityOnline

Summer School in Astroinformatics IIJul 2022

IBM Japan Ltd.
Mentorship Program

Nagoya, JapanSep 2021 - Mar 2022

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NEOREX Co. Ltd.

Nagoya, Japan

Mentorship ProgramOct 2020 - Mar 2021

Tsukuba, Japan

High Energy Accelerator Research Organization (KEK)International KEK-Cosmo and APCosPA Winter School 2020

Jan 2020

Edinburgh, UK

University of Edinburgh
Transferable Skills/Research Communication Training Workshop

Center for Astrostatistics, Pennsylvania State University

Aug 2019

Pennsylvania, US

Summer School in Statistics for Astronomers XVJul 2019

International Research Centre for Radio Astronomy ResearchPerth, Australia

International Research Internship Program, University of Western Australia.

Jul 2018 - Sep 2018

Supervised by Dr. Cullen Howlett.

S KILLS S UMMARY• Languages: English, Japanese, Sinhala• Programming languages: Python, R, C, .NET, IDL and others• Others: Author of the CRAFT code. Organizer of the Astro Students’ Gathering at Nagoya University.

S EMINARS & I NVITED TALKS• 24/01/22: Astronomical Institute Colloquium - Tohoku University: "A Comprehensive Understanding of the Lightfrom Galaxies"• 24/01/09: AI@HEP Workshop - KEK: "AI Methods in Galaxy Formation"• 23/11/03: Charlie Conroy’s Group Meeting - Harvard University: "A Comprehensive Understanding of the Light
from Galaxies"• 23/10/30: CAS Seminar - Center for Astrophysical Sciences, John Hopkins University: "A Comprehensive
Understanding of the Light from Galaxies"• 23/10/27: Galaxy Formation Group Meeting - Center for Computational Astrophysics, Flatiron Institute: "AComprehensive Understanding of the Light from Galaxies"• 23/10/26: Astro Data Lab Seminar - Princeton University: "A Comprehensive Understanding of the Light fromGalaxies"• 23/10/24: NYU CCPP Astro Seminar - New York University: "Forward Modeling of Light from Galaxies"• 23/10/19: Survey Science Group Meeting - Chicago University: "A Forward Modeling Approach to Understanding
the Light from Galaxies"• 23/10/16: CPAC Seminar - Argonne National Laboratory: "A Forward Modeling Approach to Understanding theLight from Galaxies"• 23/10/10: BCCP/Cosmology Seminar - UC Berkeley: "A Forward Modeling Approach to Understanding the Lightfrom Galaxies"• 23/08/17: KIPAC Magnetism Group Meeting - Stanford University: "CRAFT: A New Faraday Tomography
Technique"• 23/08/15: KIPAC Galaxy Formation & Cosmology Group Meeting - Stanford University: "Future of EmpiricalGalaxy Formation Models"• 23/08/08: KIPAC Tea Talk - Stanford University: "Simulating the Light of Observed Galaxies"• 23/06/13: Physics Department Constitution Day Colloquium - Nagoya: "Generative Models for Physics
Research"• 23/04/12: NAOJ Science Colloquium - Tokyo: "Learning Representations of Galaxies"• 23/03/07: SKA-Japan Workshop 2022 - Tokyo: "Wavelets and Sparsity for Faraday Tomography"• 23/02/20: SKA-Japan Webinar Series - Online: "Galaxy Manifold with SKA"• 22/12/13: IPMU Astro Lunch Seminar - Tokyo: "Machine Learning-based Approach to Understanding Galaxies"• 22/11/22: Machine Learning in Astrophysics - Nagoya: "Understanding Galaxies through DimensionalityReduction"• 21/10/12: NECO Collaboration Teletalk - Online: "Observing Magnetism with Faraday Tomography"

C ONFERENCE & W ORKSHOP TALKS• 24/03/11: Spring Annual Meeting of Astronomical Society of Japan - Tokyo, Japan: "Generative Model ofSimulated Galaxies for Fitting Observed SEDs"• 23/12/12: Observational Cosmology Workshop - Saga, Japan: "A Flexible Galaxy Formation Model for Field-level
Inference"• 23/11/13: Galaxy Workshop - Tokyo, Japan: "A New Approach to Inferring Galaxy Physical Properties"• 23/09/01: HSC Medium Band Workshop - Nagoya, Japan: "Realistic Simulation of the Light from Galaxies"• 23/03/22: Galaxy Formation and Evolution in the Data Science Era - Santa Barbara, USA: "Learning
representations of galaxies from simulations and observations"• 23/03/15: Spring Annual Meeting of Astronomical Society of Japan - Tokyo, Japan: "Generative Model ofSimulated Galaxies for Fitting Observed SEDs"• 23/02/20: Galaxy Evolution Workshop 2022 - Kyoto, Japan: "Fitting Simulated Galaxies to Observations"• 22/12/21: Rironkon Symposium 2022 - Fukushima, Japan: "Generative Modeling for Galaxy Star FormationHistories"• 22/12/12: Observational Cosmology Workshop 2022 - Tokyo, Japan: "A Data-driven Model of Galaxy StarFormation Histories"• 22/10/05: Data Science in Astronomy 2022 - Tokyo, Japan: "Dimensionality Reduction to Understand Galaxies"• 22/09/22: 9th East Asian Numerical Astrophysics Meeting - Okinawa, Japan: "Disentangling galaxy starformation histories"• 22/09/15: Autumn Annual Meeting of Astronomical Society of Japan - Niigata, Japan: "Disentangling theconnection between present-day galaxies and their star formation histories"• 22/09/14: Autumn Annual Meeting of Astronomical Society of Japan - Niigata, Japan: "Application of machinelearning in Faraday tomography"• 22/03/03: Spring Annual Meeting of Astronomical Society of Japan - Online: "Reconstructing Galaxy StarFormation History with Present-day Galaxy Manifold"• 22/03/02: Spring Annual Meeting of Astronomical Society of Japan - Online: "Wavelets and sparsity for solving
the inverse problem in Faraday tomography"• 22/02/16: First Stars and First Galaxies Workshop 2021 - Tokyo & Online: "Time Evolution on the Galaxy
Manifold"• 22/02/08: Galaxy Evolution Workshop 2021 - Tokyo & Online: "Galaxy Manifold: A Unification of Observed
Galaxy Properties"• 21/12/11: Sri Lanka Students’ Association in Japan Annual Research Conference - Online: "Unmasking theunseen"• 21/12/02: Galactic Star Formation 2021 - Online: "Understanding Galaxy Evolution through Machine Learning"• 21/09/15: Autumn Annual Meeting of Astronomical Society of Japan - Online: "Understanding Galaxy
Evolution through Machine Learning"• 21/03/19: SKA Science Conference, “A precursor view of the SKA Sky” - Online: "An Iterative Reconstruction
Algorithm for Faraday Tomography"• 21/03/18: Spring Annual Meeting of Astronomical Society of Japan - Online: "Understanding Galaxy Evolution
through Machine Learning"• 21/02/05: Galaxy Evolution Workshop 2020 - Online: "Understanding Galaxy Evolution through MachineLearning"• 20/12/01: Science at Low Frequencies VII (SALF VII) - Online: "An Iterative Reconstruction Algorithm forFaraday Tomography"• 20/11/18: First Stars and First Galaxies Workshop 2020 - Sendai, Japan: "Understanding Galaxy Evolution
through Machine Learning"• 20/11/09: ADASS XXX - Online: "An Iterative Reconstruction Algorithm for Faraday Tomography"• 20/09/14: The Physical Society of Japan, Autumn Meeting 2020 - Online: "An Iterative Reconstruction Algorithmfor Faraday Tomography"• 20/09/09: Autumn Annual Meeting of Astronomical Society of Japan - Online: "Understanding Galaxy
Evolution through Machine Learning"• 20/06/09: SAZERAC 2020 - Online: "Understanding Galaxy Evolution through Machine Learning"• 20/03/17: Spring Annual Meeting of Astronomical Society of Japan - Tsukuba, Japan: "Understanding Galaxy
Evolution through Machine Learning"• 19/11/21: SKA-Japan science workshop "Cosmic Magnetism" 2019 - National Observatory of Japan, Mitaka,
Japan: "A Reconstruction Method for Faraday Tomography in SKA Cosmic Magnetism"• 19/11/12: First Stars and Galaxies Workshop - Nagoya University, Nagoya, Japan: "Understanding Galaxy
Evolution through Machine Learning"• 19/09/13: Autumn Annual Meeting of Astronomical Society of Japan - Kumamoto University, Kumamoto,Japan: "A Method for Reconstruction of Masked Pixels: Application in CO Multi-line Imaging of Nearby Galaxies(COMING)"• 19/09/05: SKA-Japan Symposium 2019 - National Observatory of Japan, Mitaka, Japan: "A Reconstruction
Method for Faraday Tomography in SKA Cosmic Magnetism"• 19/05/29: Data Science Methods in Astronomy 2019 - Institute of Statistics and Mathematics, Tachikawa,Japan: "Data Reconstruction Methods in Astrophysics and Cosmology"• 18/12/09: Sri Lanka Students’ Association in Japan Annual Research Conference - Tokyo, Japan:"Reconstruction of Masked Astronomical Images"• 18/12/04: Science at Low Frequencies V (SALF V) - Nagoya, Japan: "Reconstruction of Masked Images in Radio
Observations: Application in CO Multi-line Imaging of Nearby Galaxies Project as Nobeyama Radio Observatory"• 18/11/05: The 8th KIAS Workshop on Cosmology and Structure Formation - Seoul, South Korea: "An Iterative
Data Reconstruction Method for Incomplete Measurements in All-Sky Surveys"• 18/09/19: Autumn Annual Meeting of Astronomical Society of Japan - Himeji, Japan: "An Iterative Data
Reconstruction Method for Incomplete Measurements in All-Sky Surveys"• 18/06/06: 5th Galaxy Evolution Workshop - Ehime, Japan: "An Iterative Data Reconstruction Method forIncomplete Measurements in All-Sky Surveys"• 17/12/10: Sri Lanka Students’ Association in Japan Annual Research Conference - Tokyo, Japan: "Large Scale
Mapping of the Nearby Universe with Data from Large Galaxy Surveys"• 17/06/18: International Conference on Asian Studies - Ottawa, Canada "Large Scale Mapping of the Nearby
Universe with Data from Large Galaxy Surveys"