small data lab
@ Cornell Tech
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Immersive Recommendation

New user-centric recommendation framework that incorporates cross-platform and diverse personal digital traces into recommendations.


The Ancile Project is developing a new software platform for managing microscale data in a privacy-sensitive manner.

Retrospective Data Learning

By analyzing personal retrospective data traces, we aim to learn temporal patterns and deviations that reveal individual behavior patterns.

Research Stack

This SDK and UX framework for building research study apps on Android and iOS supports scientific research

Past Projects


  • Please join us in congratulating Deborah Estrin on being selected as a 2018 MacArthur Foundation Fellow for her groundbreaking work and research in small data.

    You can read the article in the Cornell Chronicle

    MacArthur Foundation Announcement

  • OpenRec Release

    small data lab
    February, 2018

    We are excited to release OpenRec - a modular framework designed for researchers and practitioners to readily adapt and extend state-of-the-art recommendation algorithms. Checkout our website and #wsdm18 paper.

  • First Smartphone Study Launches to Examine Impulse Control

    small data lab
    CornellTech Website, February, 2017

    The Feinstein Institute for Medical Research, Cornell Tech, and Sage Bionetworks announced today the launch of a pioneering study to examine the use of a smartphone application to identify and understand impulsivity in daily life. The team intends to develop additional apps using study data with the goal of providing support to those looking to change impulsive behaviors and better their ability to resist unhealthy temptations.

Lab Members

Deborah Estrin


JP Pollak

Senior Researcher in residence

Michael Sobolev

Chief Scientist

Hongyi Wen

PhD Student

Eugene Bagdasaryan

PhD Student

Emily Tseng

PhD Student

Andrea Cuadra

PhD Student

Pargol Gheissari


Past Members

Recent Papers





2015 and prior