About

I am a Ph.D. student at the University of Tsukuba and a Staff Data Scientist at Indeed. My research focuses on statistical modeling and its applications to marketing science, including causal inference, Bayesian methods, and mathematical optimization. I received my M.S. and B.S. in Statistics from Tokyo Institute of Technology.

Affiliations

  • Staff Data Scientist
    Indeed, Inc.
  • Ph.D. Student
    University of Tsukuba

Publications

Refereed Journals and Proceedings

  1. H. Momozu, Y. Uehara, N. Nishimura, K. Ohashi, D. Jobson, Y. Li, P. Dinh, N. Sukegawa, and Y. Takano: Subset selection for stratified sampling in online controlled experiments. Proceedings of the 22nd Pacific Rim International Conference on Artificial Intelligence (PRICAI 2025), (2025).
  2. Y. Uehara, N. Nishimura, Y. Li, J. Yang, D. Jobson, K. Ohashi, T. Matsumoto, N. Sukegawa, and Y. Takano: Robust portfolio optimization model for electronic coupon allocation. INFOR: Information Systems and Operational Research, 62 (2024), 646–660.
  3. Y. Uehara, S. Ikeda, N. Nishimura, K. Ohashi, Y. Li, J. Yang, D. Jobson, X. Zha, T. Matsumoto, N. Sukegawa, and Y. Takano: Fast solution to the fair ranking problem using the Sinkhorn algorithm. Proceedings of the 21st Pacific Rim International Conference on Artificial Intelligence (PRICAI 2024), (2024).
  4. K. Ohashi, S. Sekine, D. Jobson, J. Yang, N. Nishimura, N. Sukegawa, and Y. Takano: Strategic coupon allocation for increasing providers' sales experiences in two-sided marketplaces. KDD 2024 Workshop on Two-sided Marketplace Optimization: Search, Pricing, Matching & Growth, arXiv preprint, arXiv:2407.14895 (2024).
  5. D. Jobson, Y. Li, N. Nishimura, K. Ohashi, J. Yang, and T. Matsumoto: Covariate ordered systematic sampling as an improvement to randomized controlled trials. Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM '24), (2024), 3812–3816.

Domestic Conferences

  1. 桃津晴, 上原祐輝, 西村直樹, 大橋耕也, Deddy Jobson, Yilin Li, Phuong Dinh, 鮏川矩義, 高野祐一: 処置効果推定のための層化抽出の特徴量選択. 情報処理学会 第87回全国大会, 立命館大学 大阪いばらきキャンパス, 2025年3月.
  2. 上原祐輝, 西村直樹, 大橋耕也, 鮏川矩義, 高野祐一: 最適輸送と深層学習による公平ランキング問題の解法. 日本オペレーションズ・リサーチ学会 2025年春季研究発表会, 成蹊大学, 2025年3月.
  3. 大橋耕也, 幸島匡宏, 堤田恭太, 松林達史, 戸田浩之: 深層強化学習による車両移動経路と信号機の同時最適化. 第10回データ工学と情報マネジメントに関するフォーラム(DEIM 2018), 2018年3月.
  4. 大橋耕也, 渡辺澄夫: 変化点検出問題におけるベイズ検定統計量の導出と検出力の実験的考察. 第116回数理モデル化と問題解決研究発表会(MPS 2017), 奈良女子大学, 2017年12月.
  5. 大橋耕也, 鈴木大慈: 深層リカレントニューラルネットワークを用いたfMRIの解析及び脳機能の解読. 第28回IBISML研究会(IBISML 2017), 東京工業大学, 2017年3月.

Patents

  1. 磯智大, 横山春樹, 近藤昌也, 大橋耕也: テキストからの固有表現抽出と係り受け解析によるキーワード対応関係の自動推定. 特許第7032582号, KPMGコンサルティング株式会社, 2021年.

Activities

  1. OS-13「AIを活用したマーケティング実践」オーガナイザー. 第40回人工知能学会全国大会 (JSAI 2026), Jun 2026.
  2. OS-33「AIを活用したマーケティング実践」オーガナイザー. 第39回人工知能学会全国大会 (JSAI 2025), May 2025.
  3. Strategic coupon allocation for increasing providers' sales experiences in two-sided marketplaces — accepted at KDD2024 TSMO Workshop. mercari AI, Sep 2024.
  4. Improvement of the selling experience key for Mercari: Six months of the item coupon project in retrospect. mercari AI, Jan 2024.

Work Experience

  • Indeed, Inc.
    Staff Data Scientist
    Apr 2026 – Present
    Senior Data Scientist
    Apr 2025 – Mar 2026
  • Mercari, Inc.
    Senior Data Scientist
    Jul 2023 – Mar 2025
    Data Scientist
    May 2022 – Jun 2023
  • Boston Consulting Group
    Data Scientist
    Apr 2021 – Mar 2022
  • KPMG Consulting Co., Ltd.
    Data Scientist
    Oct 2020 – Mar 2021
    Business Analyst
    Oct 2019 – Sep 2020

Education

2025 – Present Ph.D., University of Tsukuba, Japan in Applied Statistics.
Advisor: Tadahiko Sato.
2017 – 2019 M.S., Tokyo Institute of Technology, Japan in Statistics.
Advisor: Sumio Watanabe.
2013 – 2017 B.S., Tokyo Institute of Technology, Japan in Machine Learning.
Advisor: Taiji Suzuki.

Contact

Email:
s2540404 [at] u.tsukuba.ac.jp
LinkedIn:
Feel free to send me a DM on LinkedIn