About Me

I am a research associate in VIDA Lab at NYU Tandon School of Engineering. I am working with Professor Juliana Freire on DARPA Memex and D3M projects. Before joining NYU, I did a summer internship with Microsoft Research and Cloud AI Group and before that was a research associate in the Artifical Intelligence Group at Technische Universitaet Dortmund, Germany.


My areas of interest include machine learning, data mining, distributed computing and lately data visualization especially applying them to automation of machine learning (AutoML), information retrieval and applications for social good. Since 2014, I have been working on the DARPA Memex project, in which my research focused on building an interactive search system that enables discovering and retrieving domain-specific content on the Web, using machine learning, natural language processing (NLP) and data visualization techniques. I am currently working on automated generation of data mining pipelines, for the DARPA D3M project, through sequence modeling using a deep neural network and Monte Carlo Tree Search (MCTS)

Top News

  1. Our paper, AlphaD3M: Machine Learning Pipeline Synthesis, has been accepted to AutoML workshop at ICML 2018

  2. Co-chairing ECML PKDD 2018 workshop on Decentralized Machine Learning at the Edge.

  3. Received 3rd Prize (among 70 teams) at NYU Tandon School of Engineering Research Expo 2017 for presenting our DARPA Memex work. It was covered by the local Technical.ly, Brooklyn.

  4. Mentored the 2nd Place winning team in End Human Trafficking Hackathon, 2016, organized by Manhattan District Attorney’s (DANY) office in partnership with Cornell Tech.

Selected Publications

  • Interactive Exploration for Domain Discovery on the Web
    Yamuna Krishnamurthy, Kien Pham, Aecio Santos, Juliana Freire.
    Workshop on Interactive Data Exploration and Analytics (IDEA) 2016, Knowledge Discovery and Data Mining (KDD), San Francisco, Aug 2016

  • Bayesian Optimal Active Search and Surveying
    Roman Garnett, Yamuna Krishnamurthy, Xuehan Xiong, Jeff Schneider, Richard P Mann.
    29th International Conference on Machine Learning (ICML) 2012, Madison, WI, USA, June 2012

  • Bayesian Optimal Active Search on Graphs
    Roman Garnett, Yamuna Krishnamurthy, Donghan Wang, Jeff Schneider, and Richard Mann
    Ninth Workshop on Mining and Learning with Graphs (MLG ’11), Knowledge Discovery and Data Mining (KDD), San Diego, Aug 2011


Last-modified: Oct 2017 · Jekyll academic template