Michinari Momma

About Michinari Momma

Principal Applied Scientist driving innovation in Machine Learning (ML) and AI to solve complex, large-scale problems in e-commerce and information retrieval. currently, leading efforts on agent evaluation framework in amazon JP.I specialize in the design and deployment of advanced algorithmic solutions that sit at the intersection of fundamental ML research and real-world system engineering. My current work at Amazon focuses heavily on enhancing core consumer experiences—specifically in Search and Recommender Systems—by leveraging state-of-the-art optimization and ranking techniques.Core Areas of Expertise:Multi-Objective Optimization (MOO) & Learning to Rank (LTR): Pioneering frameworks for balancing competing objectives (e.g, relevance, fairness, and business metrics) in complex ranking and multi-task learning environments, as published in top-tier venues like KDD, ICML, and NeurIPS.Data Mining & Recommendation Engines: Inventor on highly cited patents focusing on retail data mining and robust recommendation systems using techniques like pair-wise co-occurrence consistency.Deep Learning & Kernel Methods: Extensive background in developing foundational ML models, including pattern search methods for Support Vector Regression, Sparse Kernel Partial Least Squares, and Metric Learning.E-commerce & Information Retrieval: Translating fundamental research into practical applications that directly impact customer experience and business success across vast datasets.Impact & Contributions:My scientific contributions include a total of 1699+ citations and an h-index of 15 (with significant recent impact: 748+ citations since 2020). I am committed to advancing the field of Applied Science by consistently publishing and presenting research at leading conferences, while building production-ready systems that scale to millions of users globally.

Experience

1. Principal Applied Scientist

   Amazon

   Jan 2026 — Present · Seattle, WA, US

Education

• Tohoku University

  Master of Science (MS), Information Science/Studies

• Rensselaer Polytechnic Institute

  Ph.D., Decision Sciences and Engineering Systems

  2000 — 2003

• Washington State University

  MS, Physics

  1997 — 2000