Rchr
J-GLOBAL ID:201601012618715282   Update date: Jun. 09, 2024

Hayamizu Momoko

ハヤミズ モモコ | Hayamizu Momoko
Affiliation and department:
Job title: Associate Professor
Homepage URL  (1): https://www.youtube.com/c/hayamizu-lab
Research field  (4): Statistical science ,  Applied mathematics and statistics ,  Basic mathematics ,  Information theory
Research keywords  (3): computational biology ,  theoretical biology ,  discrete mathematics
Research theme for competitive and other funds  (10):
  • 2023 - 2030 離散数学と統計科学の融合による生命科学データ解析の技術革新
  • 2023 - 2026 細胞系譜を解明する新しい系統解析技術の創出
  • 2021 - 2024 上皮幹細胞可塑性を利用した新しい再生医療のための非侵襲的幹細胞同定法の開発
  • 2019 - 2023 離散幾何学が拓く計算系統学の新展開
  • 2021 - 2022 顔画像の特徴量変化解析の研究
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Papers (8):
  • Takatora Suzuki, Han Guo, Momoko Hayamizu. Bridging between Deviation Indices for Non-Tree-Based Phylogenetic Networks (previous title: Rooted Almost-binary Phylogenetic Networks for which the Maximum Covering Subtree Problem is Solvable in Linear Time). 2023
  • Shunsuke Maeda, Yusuke Kaneko, Hideaki Muramatsu, Yukihiro Murakami, Momoko Hayamizu. Orienting undirected phylogenetic networks to tree-child network. Preprint. 2023
  • Momoko Hayamizu, Kazuhisa Makino. Ranking top-k trees in tree-based phylogenetic networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2022
  • Momoko Hayamizu. A Structure Theorem for Rooted Binary Phylogenetic Networks and Its Implications for Tree-Based Networks. SIAM Journal on Discrete Mathematics. 2021. 35. 4. 2490-2516
  • Momoko Hayamizu, Katharina T. Huber, Vincent Moulton, Yukihiro Murakami. Recognizing and realizing cactus metrics. Information Processing Letters. 2020. 157. 105916. 1-5
more...
Lectures and oral presentations  (77):
  • Tree-based networkからの逸脱度評価法をめぐる考察
    (日本応用数理学会第20回研究部会連合発表会 離散システム(2) 2024)
  • 系統ネットワークを用いたHIVのDNA配列組み換えの解明と地理的影響の分析
    (バーチャル学会2023 2023)
  • 距離行列からグラフを構築するアルゴリズムを用いた鳥の飛行スタイルに関する系統解析
    (バーチャル学会2023 2023)
  • The structure of rooted binary phylogenetic networks and implications for trees in a network
    (iTHEMS Graph-Theory meeting 2023 2023)
  • ネットワークの中にひそむ ネットワークを探る
    (数理×神経科学ワークショップ 2023)
more...
Works (2):
  • Introduction to Discrete Mathematics (YouTube - Public lecture series)
    Momoko Hayamizu 2021 - 現在
  • Treefit - The first software for quantitative trajectory inference
    Momoko Hayamizu, Kouhei Sutou, Ryohei Suzuki, Hiromi Ishii 2020 - 現在
Education (3):
  • 2014 - 2017 The Graduate University for Advanced Studies School of Multidisciplinary Sciences Department of Statistical Science
  • 2006 - 2010 The University of Tokyo Faculty of Medicine
  • 2004 - 2006 The University of Tokyo College of Arts and Sciences
Professional career (2):
  • M.D.
  • Ph.D.
Work history (11):
  • 2024/06 - 現在 Waseda University Department of Applied Mathematics, Faculty of Science and Engineering Associate Professor
  • 2022/04 - 2024/06 Waseda University Faculty of Science and Engineering Associate Professor
  • 2019/10 - 現在 Japan Science and Technology Agency (JST) PRESTO Researcher
  • 2020/04 - 2022/03 Waseda University Faculty of Science and Engineering Assistant Professor
  • 2017/04 - 2020/03 Department of Statistical Science, School of Multidisciplinary Sciences, The Graduate University for Advanced Studies Assistant Professor
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Committee career (1):
  • 2019/03 - 2020/02 The Mathematical Society of Japan Local Delegate
Awards (7):
  • 2022/09 - 日本応用数理学会 日本応用数理学会・年会優秀ポスター賞(2022年度) 横断歩道における歩行者対向流の組合せ論的考察
  • 2022/04 - 文部科学省 令和4年度 科学技術分野の文部科学大臣表彰 若手科学者賞(令和4年4月20日) 生命科学のデータ解析に関わる離散数学の諸問題の研究
  • 2022/03 - Waseda University The 10th WASEDA e-Teaching Award Introduction to Discrete Mathematics
  • 2021/05 - Waseda University 2020 9th Waseda e-Teaching Award Grand Award
  • 2019/06 - The Japan Society for Industrial and Applied Mathematics (JSIAM) Best presentation award at the 2019 Joint Meeting of JSIAM Activity Groups
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Association Membership(s) (3):
Society for Mathematical Biology ,  THE JAPAN SOCIETY FOR INDUSTRIAL AND APPLIED MATHEMATICS ,  Mathematical Society of Japan
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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