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emaadmanzoor/README.md

Hi!

I am an Assistant Professor of Marketing and a graduate field member of Computer Science at Cornell University. You can reach me at [email protected].

I design algorithms to improve human decisions. See here for my papers and preprints ordered chronologically.

I created and teach the generative AI course at Johnson. I have also taught a PhD seminar on human-algorithm interactions (syllabus). See here for my other teaching.

I am currently building stoppingagents (language agents for optimal conversation stopping) and blprs (a high-performance Rust library for demand estimation). I have previously built arborist, xstream, and streamspot.

I co-organize the Virtual Quant Marketing Seminar and serve on the editorial board of Marketing Science.

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  1. stoppingagents stoppingagents Public

    Optimal stopping agents powered by generative large language models

    Jupyter Notebook 3 2

  2. causaltext/causaltext.github.io causaltext/causaltext.github.io Public

    Workshop website

    CSS 5

  3. cmuarborist/cmuarborist-core cmuarborist/cmuarborist-core Public

    Expanding Taxonomies with Implicit Edge Semantics (WWW 2020).

    Python 9

  4. cmuxstream/cmuxstream-core cmuxstream/cmuxstream-core Public

    Static (Python) and streaming (C++) implementations of xStream (KDD 2018).

    C++ 31 15

  5. sbustreamspot/sbustreamspot-core sbustreamspot/sbustreamspot-core Public

    Core streaming heterogeneous graph clustering and anomaly detection code (KDD 2016)

    C++ 41 14