Kana Moriwaki
Department of Physics, Graduate School ofScience, the University of Tokyo

7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, JAPANT +81-3-5841-4191
B kana.moriwaki@phys.s.u-tokyo.ac.jp
Í http://www-utap.phys.s.u-tokyo.ac.jp/~moriwaki

Research Interests
Galaxy formation and evolution, high-redshift galaxies, cosmic reionization, cosmological simulation, machine learning.

Education and Employment
since 2022 Assistant Professor, Research Center for the Early Universe, Graduate
School of Science, The University of Tokyo.
2019–2022 Doctor of Science, Department of Physics, Graduate School of Science, TheUniversity of Tokyo.
{ Thesis: Analysis of the Large-Scale Structure of the Universe Using Cosmological
Simulations and Machine Learning{ Supervisor: Naoki Yoshida2017 – 2019 Masters of Science, Department of Physics, Graduate School of Science, The
University of Tokyo.
{ Thesis: The distribution and physical properties of emission line galaxies in the early
universe{ Supervisor: Naoki Yoshida2013 – 2017 Bachelor of Science, Department of Physics, Graduate School of Science,
The University of Tokyo.

Fellowships and Awards
2024
2023
2022
2022
2022
2021
2020 – 2022
2019 – 2022

Third Marie Sklodowska Curie Award Grand Prize
International Astronomical Union PhD Prize honourable mention
Springer Thesis Award
School of Science Encouragement Award, The University of Tokyo
The University of Tokyo President’s Award for Students, Grand Prize
Young Scientist Presentation Award, 34th Rironkon Symposium
JSR Fellowship, the University of TokyoJapan Society for Promotion of Science (JSPS) Research Fellow, DC1

2017 – 2022 Advanced Leading Graduate Course for Photon Science (ALPS), the Universityof Tokyo
2017 School of Science Encouragement Award, The University of Tokyo

Teaching
University of Tokyo2023 Course on Exercise in Physics (electromagnetics, physical mathematics)
2022 Seminar "Galaxy formation and evolution"
Invited Lectures
Sep. 2023 "Galaxy formation with cosmological simulation and machine learning", NECO
Summer School, Kyoto YITP, Japan
Sep. 2024 "Generative Model", AstroAI Asian Network Summer School, Osaka University

Grants and Funding2024-2028 Grant-in-Aid for Specially Promoted Research (co-I, 463,900,000 JPY)
2023-2030 International Leading Research (co-I, 529,900,000 JPY)
2023-2026 Grant-in-Aid for Scientiﬁc Research (C) (PI, 3,700,000 JPY)
2023-2025 Program for Promoting Research on the Supercomputer Fugaku (co-I,26,841,000 JPY for 2023)
2022-2024 International Exchanges 2022 Round 2, the Royal Society (co-I, 12,000 GBP)
2019-2022 JSPS Grant for JSPS Fellows (PI, 3,100,000 JPY)

Professional Activities
Oct. 2024
Jan. 2024
Oct. 2023
Sep. 2023
Aug. 2023
Oct. 2021
since 2021
since 2021

SOC chair, Hongo 21 cm workshop, the University of Tokyo
LOC, UNIONS/JEC Joint Meeting, the University of Tokyo
LOC, The 14th RESCEU International Symposium, the University of Tokyo
SOC chair, Fugaku AstroAI 2023, Tsukuba University
SOC, NECO Summer School 2023, Kyoto YITP
SOC chair, SUBLIME Workshop 2021
Japan SKA Consortium member
Japan Euclid Consortium member

PublicationsFirst Author[9] Kana Moriwaki, Angus Beane, and Adam Lidz, Insights into the 21 cm ﬁeld
from the vanishing cross-power spectrum at the epoch of reionization, Monthly
Notices of the Royal Astronomical Society, 530(3):3183–3194, April 2024.
[8]

Kana Moriwaki, Takahiro Nishimichi, and Naoki Yoshida, Machine learningfor observational cosmology, Reports on Progress in Physics, 86(7):076901, July
2023.

[7]

Kana Moriwaki. Deep learning application for reconstruction of large-scale
structure of the universe. In Shelly Sachdeva, Yutaka Watanobe, and Subhash
Bhalla, editors, Big-Data-Analytics in Astronomy, Science, and Engineering,
pages 73–82, Cham, 2022. Springer International Publishing.

[6]

Kana Moriwaki and Naoki Yoshida, Deep-learning Reconstruction of Threedimensional Galaxy Distributions with Intensity Mapping Observations, ApJL,
923(1):L7, December 2021.

[5] Kana Moriwaki, Masato Shirasaki, and Naoki Yoshida, Deep Learning for Line
Intensity Mapping Observations: Information Extraction from Noisy Maps,ApJL, 906(1):L1, January 2021.
[4]

Kana Moriwaki, Nina Filippova, Masato Shirasaki, and Naoki Yoshida, Deeplearning for intensity mapping observations: component extraction, MNRAS,496(1):L54–L58, July 2020.

[3]Kana Moriwaki. The distribution and physical properties of high-redshift [OIII] emitters in a cosmological hydrodynamics simulation. In Médéric Boquien,
Elisabeta Lusso, Carlotta Gruppioni, and Patricia Tissera, editors, Panchromatic Modelling with Next Generation Facilities, volume 341, pages 249–252,January 2020.

[2] Kana Moriwaki, Naoki Yoshida, Marius B. Eide, and Benedetta Ciardi, Crosscorrelation between the 21-cm signal and [O III] emitters during early cosmicreionization, MNRAS, 489(2):2471–2477, October 2019.
[1] Kana Moriwaki, Naoki Yoshida, Ikkoh Shimizu, Yuichi Harikane, Yuichi Matsuda, Hiroshi Matsuo, Takuya Hashimoto, Akio K. Inoue, Yoichi Tamura, andTohru Nagao, The distribution and physical properties of high-redshift [O III]emitters in a cosmological hydrodynamics simulation, MNRAS, 481:L84–L88,
November 2018.
Co-Author[10] Keiya Hirashima, Kana Moriwaki, Michiko S. Fujii, Yutaka Hirai, Takayuki R.
Saitoh, Junichiro Makino, and Shirley Ho. Surrogate modeling for computationally expensive simulations of supernovae in high-resolution galaxy simulations.
In NeurIPS 2023 AI for Science Workshop, 2023.
[9] Keiya Hirashima, Kana Moriwaki, Michiko S. Fujii, Yutaka Hirai, Takayuki R.
Saitoh, and Junichiro Makino, 3D-Spatiotemporal forecasting the expansion ofsupernova shells using deep learning towards high-resolution galaxy simulations,
MNRAS, 526(3):4054–4066, December 2023.
[8] Yoichi Tamura, Tom J. L. C. Bakx, Akio K. Inoue, Takuya Hashimoto, Tsuyoshi
Tokuoka, Chihiro Imamura, Bunyo Hatsukade, Minju M. Lee, Kana Moriwaki,Takashi Okamoto, Kazuaki Ota, Hideki Umehata, Naoki Yoshida, Erik Zackrisson, Masato Hagimoto, Hiroshi Matsuo, Ikkoh Shimizu, Yuma Sugahara, andTsutomu T. Takeuchi, The 300 pc resolution imaging of a z = 8.31 galaxy:
Turbulent ionized gas and potential stellar feedback 600 million years after thebig bang, The Astrophysical Journal, 952(1):9, jul 2023.
[7] Tsuyoshi Tokuoka, Akio K. Inoue, Takuya Hashimoto, Richard S. Ellis, Nicolas Laporte, Yuma Sugahara, Hiroshi Matsuo, Yoichi Tamura, Yoshinobu Fudamoto, Kana Moriwaki, Guido Roberts-Borsani, Ikkoh Shimizu, Satoshi Yamanaka, Naoki Yoshida, Erik Zackrisson, and Wei Zheng, Possible Systematic Rotation in the Mature Stellar Population of a z = 9.1 Galaxy, ApJL,
933(1):L19, July 2022.

[6]Keiya Hirashima, Kana Moriwaki, Michiko S. Fujii, Yutaka Hirai, Takayuki
Saitoh, and Junichiro Makino, Predicting the expansion of supernova shells
for high-resolution galaxy simulations using deep learning, Journal of Physics:
Conference Series, 2207(1):012050, mar 2022.

[5]

Masato Shirasaki, Kana Moriwaki, Taira Oogi, Naoki Yoshida, Shiro Ikeda,
and Takahiro Nishimichi, Noise reduction for weak lensing mass mapping: anapplication of generative adversarial networks to Subaru Hyper Suprime-Cam
ﬁrst-year data, MNRAS, 504(2):1825–1839, June 2021.

[4]

Shigeki Inoue, Hiroshi Matsuo, Naoki Yoshida, Hidenobu Yajima, and Kana
Moriwaki, Capturing the inside-out quenching by black holes with far-infraredatomic line ratios, arXiv e-prints, page arXiv:2102.10752, February 2021.

[3]

Kotaro Kohno, Ryohei Kawabe, Yoichi Tamura, Akira Endo, Jochem J. A.
Baselmans, Kenichi Karatsu, Akio K. Inoue, Kana Moriwaki, Natsuki H.
Hayatsu, Naoki Yoshida, Yuki Yoshimura, Bunyo Hatsukade, Hideki Umehata, Tai Oshima, Tatsuya Takekoshi, Akio Taniguchi, Pamela D. Klaassen,Tony Mroczkowski, Claudia Cicone, Frank Bertoldi, Helmut Dannerbauer, andTomoka Tosaki. Large format imaging spectrograph for the Large Submillimeter Telescope (LST). In Society of Photo-Optical Instrumentation Engineers(SPIE) Conference Series, volume 11453 of Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, page 114530N, December 2020.

[2]Yuichi Harikane, Masami Ouchi, Akio K. Inoue, Yoshiki Matsuoka, YoichiTamura, Tom Bakx, Seiji Fujimoto, Kana Moriwaki, Yoshiaki Ono, TohruNagao, Ken-ichi Tadaki, Takashi Kojima, Takatoshi Shibuya, Eiichi Egami,Andrea Ferrara, Simona Gallerani, Takuya Hashimoto, Kotaro Kohno, Yuichi
Matsuda, Hiroshi Matsuo, Andrea Pallottini, Yuma Sugahara, and Livia Vallini,
Large Population of ALMA Galaxies at z > 6 with Very High [O III] 88 µm to[C II] 158 µm Flux Ratios: Evidence of Extremely High Ionization Parameteror PDR Deﬁcit?, ApJ, 896(2):93, June 2020.

[1] Yoko Oya, Kana Moriwaki, Shusuke Onishi, Nami Sakai, Ana López–Sepulcre,Cécile Favre, Yoshimasa Watanabe, Cecilia Ceccarelli, Bertrand Leﬂoch, andSatoshi Yamamoto, Chemical and Physical Picture of IRAS 16293-2422 Source
B at a Sub-arcsecond Scale Studied with ALMA, ApJ, 854(2):96, February 2018.
Book[1] Kana Moriwaki. Large-Scale Structure of the Universe – Cosmological Simulations and Machine Learning. Springer Theses. Springer Singapore, 2022.

Conferences and Workshops (Selected)
Feb. 2024 Invited Talk, "Machine Learning in Cosmology and Astrophysics", Third MiniWorkshop on the Early Universe (Okinawa, Japan)
Jan. 2024 Invited Talk, "Reconstruction of the Large-Scale Structure of the Universe withConditional GAN", AI-driven discovery in physics and astrophysics, (Chiba,Japan)

Oct. 2023 Invited Talk, "Deep learning application to large-scale structure of the universe
traced by line intensity", The 14th RESCEU Symposium, From Large to Small
Structures in the Universe, (Tokyo, Japan)
Feb. 2022 Contributed Talk, "Deep learning for line de-confusion in large-scale line intensity maps", SAZERAC: Learning the high-redshift Universe (online)
Dec. 2021 Invited Talk, Deep Learning Application for Reconstruction of Large-Scale
Structure of the Universe , Big Data Analytics in Science and Engineering(BASE), 9th International Conference Data Models and New Query Languages
in Big Data Analytics (Fukushima, Japan + online)
Oct. 2021 Contributed Talk, Signal extraction from line intensity data cubes with 3D
conditional GAN , SUBLIME Workshop (online)
Jul. 2021 Contributed Talk, Component extraction from line intensity maps with conditional GAN , UChicago/KICP Line Intensity Mapping Workshop 2021 (online)
Jun. 2021 Poster Presentation, Deep Learning for Line Intensity Mapping: Information
Extraction , Statistical Challenges in Modern Astronomy VII (online)
Jan. 2021 Contributed Talk,[OIII] line emitters as a probe of galaxy-21 cm crosscorrelation signals from the early stage of reionization SAZERAC The 21-cm
Signal from Cosmic Dawn and the Epoch of Reionization (online)
Nov. 2020 Invited Talk, "Deep learning application for line intensity mapping" The 9thKIAS Workshop on Cosmology and Structure Formation (Seoul, Korea + online)
Jan. 2020 Contributed Talk, Emission line as a tracer of ISM properties and the largescale structure of the universe , Sexten workshop: The interstellar medium ofhigh redshift galaxies (Sesto, Italy)
Aug. 2019 Poster Presentation, Cross-correlation between the 21-cm signal and [OIII]emitters during early cosmic reionization , FIRST LIGHT: STARS, GALAXIES AND BLACK HOLES IN THE EPOCH OF REIONIZATION (Sao Paulo,Brazil)
Feb. 2019 Contributed Talk, The distribution and physical properties of high-redshift[OIII] emitters in a cosmological hydrodynamics simulation , New Frontiers ofSubmillimeter Astronomy (Nagano, Japan)
Nov. 2018 Contributed Talk, The distribution and physical properties of high-redshift[OIII] emitters in a cosmological hydrodynamics simulation , IAU Symposium341: PanModel2018: Challenges in Panchromatic Galaxy Modelling with Next
Generation Facilities (Osaka, Japan)

Seminars
Jul. 2024 Seminar Talk, Theoretical Physics Laboratory, Tokyo Woman’s Christian University
May 2024 Seminar Talk, Center for Frontier Science, Chiba University
Jun. 2023 Colloquium Talk, The Kavli Institute for Astronomy and Astrophysics, PekingUniversityOct. 2022
Apr. 2022
Jan. 2021
Nov. 2020
Nov. 2019
Jul. 2019

Seminar Talk, Institute for Physics of Intelligence, the University of Tokyo
Colloquium Talk, Yunnan University, SWIFAR
Seminar Talk, Flatiron Institute, Simons Foundation
Seminar Talk, University of Tsukuba
Seminar Talk, Waseda University
Seminar Talk, Nagoya University

OutreachAug. 2022 Public Talk at Open Campus, School of Science, the University of Tokyo
Feb. 2020 Public Talk at Diversity Cafè, Tokyo Metropolitan Hakuo High School
Apr. 2019 TA at Toshiko Yuasa Laboratory School for Female Students in Science 2019