Thursday, May 1, 2025
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Erol Pekoz

Erol Pekoz

Erol Peköz is an experienced data scientist leader, professor, department chair, applied probabilist, and textbook author working in the intersection of machine learning and data science. The research interests of Professor Peköz cover the areas of operations research, applied probability, data science, statistics, queueing models, supply chain management, healthcare operations management, fintech, and cryptocurrencies.

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    Generic selectors
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    Search in title
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    Search in posts
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    Filter by Categories
    Action Learning
    Artificial Intelligence in Business
    Book Club
    Books
    BU Today
    Business Challenges
    Business Education
    Business Functions
    Business Policy & Markets
    Corporate Strategy
    Digital Business
    Digital Business Institute
    Diversity, Equity & Inclusion
    Entrepreneurship & Innovation
    Events
    Expert Take
    Feature
    Finance & Accounting
    Future of Business Education
    Future of Work
    Global Media
    Harvard Business Review
    Health, Biopharma, & Health-Tech
    Human Resources Policy Institute
    Innovation
    Insights Live
    Institute for Sustainable Energy
    Journals
    Language of Business
    Leadership & Management
    Local Media
    Marketing
    Media Mention
    Multimedia
    National Media
    Newsletter Spotlight
    Op-Ed
    Operations
    Opinion
    Our Insights
    Partners in Business Ethics
    Podcast
    Publications
    Research Institutes
    Risk
    ScienceDirect
    Silicon Valley Bank
    Sloan Management Review
    Social Impact
    Special Series
    Susilo Institute for Ethics in the Global Economy
    Technology
    The Brink
    Thinkers50@BUQuestrom: Passion & Purpose
    Videos

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