2019: 2018: 2017:



Journal Articles

Conference Proceedings

Book Chapters

Workshop Proceedings

Professional Experience


  • University of Southern California, Los Angeles CA
    Research Scientist, (Research: Deep Semantic Embedding and Information Extraction)
  • University of Maryland, College Park MD
    Research Assistant, (Research: Multi-Relational Graph Mining, Statistical Relational Learning)
  • University of California, Santa Cruz CA
    Visiting Research Scholar, (Research: Link Prediction and Recommender Systems, Collective Classification)
  • Wayne State University, Detroit MI
    Instructor, Research Assistant, Teaching Assistant, (Research: Feature Selection, Classification Uncertainty in Medical Applications)

Research Industry

  • Microsoft Research, Redmond WA
    Research Scientist Intern, (Research: Email to Meeting Transfer Patterns)
  • Yahoo! Research (Labs), Sunnyvale CA
    Research Scientist Intern, (Research: Context-aware Recommender Systems)
  • Turi (Dato) Inc. / Ifwe (Tagged) Inc., Seattle WA / San Francisco CA
    Data Science Research Intern, (Research: Heterogeneous Social Networks Spam Detection)
  • Henry Ford Health System, Detroit MI
    Visiting Researcher, (Research: Temporal Lobe Epilepsy Lateralization)

Academic Services

Grant Proposal Panelist

  • National Science Foundation - CISE Review Panel 2018 (Panelist)

Conference and Workshop Organizer and Chair

  • ACM SIGKDD International Workshop on Mining and Learning with Graphs (MLG): 15th-2019 (Organizer), 14th-2018 (Organizer), 13th-2017 (Organizer), 12th-2016 (Organizer)
  • ACM WSDM International Workshop on Heterogeneous Networks Analysis and Mining (HeteroNAM): 1st-2018 (Founding Organizer)
  • International Conference on Very Large Data Bases (VLDB): 2019 (Volunteer Co-Chair)
  • SIAM International Conference on Data Mining (SDM): 2018 (Session Chair)
  • Graph Mining Reading Group at Information Science Institute, University of Southern California: 2018 (Founding Organizer)

Journal Editor

  • Applied Network Science, Machine Learning with Graphs Special Issue: 2018 (Lead Guest Editor)

Journal Reviewer

  • Journal of Machine Learning Research (JMLR): 2018, 2019
  • IEEE Transactions on Knowledge & Data Eng. (TKDE): 2013, 2014, 2015, 2016, 2017, 2018
  • Plos One: 2019
  • Springer Data Mining & Knowledge Discovery (DAMI): 2018
  • Bioinformatics (Oxford Academic): 2018
  • Briefings in Bioinformatics: 2017
  • IEEE Journal of Biomedical and Health Informatics (JBHI): 2015
  • Elsevier Journal of Theoretical Biology (JTB): 2015
  • PeerJ Open Access Biological and Medical Sciences Journal: 2015
  • Elsevier Expert Systems with Applications (ESWA): 2016, 2017
  • ACM Transactions on Intelligent Systems and Technology (TIST): 2012

Program Committee

  • Neural Information Processing Systems (NeurIPS): 2014, 2015, 2019
  • International Conference on Machine Learning (ICML): 2019
  • ACM International Conf. on Knowledge Discovery & Data Mining (KDD): 2018, 2019
  • The Web Conference (WWW): 2018, 2019
  • SIAM International Conference on Data Mining (SDM): 2018, 2019
  • Association for the Advancement of Artificial Intelligence Conference (AAAI): 2019
  • International Joint Conference on Artificial Intelligence (IJCAI): 2016
  • International Conf. on Advances in Social Networks Analysis & Mining (ASONAM): 2019
  • Complex Networks: 2018, 2019
  • IEEE Workshop at the Intersection of Graph Algorithms & Machine Learning (GraML): 2018
  • IEEE Workshop on High Performance Big Graph Data Analysis, & Mining (BigGraphs): 2017
  • ACM SIGKDD Workshop on Outlier Definition, Detection & Description (ODD): 2016
  • International Conf. on Pervasive Computing Technologies for Healthcare (PervasiveHealth): 2013





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