Faculty Advisors

We welcome applications from students interested in all areas of information science. PhD students work closely with a faculty advisor to become an expert in their chosen area of study. As you prepare your application, it might be helpful to read about our current projects, students and faculty to learn about the projects and groups that you might become involved with as a student. Faculty who advise Information Science PhD students include the following and many are looking for PhD students in the coming academic year:

  • Denise Agosto,
    Youth Information Behaviors
  • Yuan An,
    Schema and Ontology Mapping, Semantic Information Extraction and Integration, Health and Biomedical Data Mining and Analysis
  • Ellen Bass,
    Human Factors
  • Chaomei Chen,
    Visual Analytics, Mapping Scientific Frontiers
  • Andrea Forte,
    HCI & Social Computing
  • Susan Gasson,
    Social Informatics
  • Jane Greenberg,
    Metadata/Big metadata, Data science, Linked data, Ontologies, Knowledge Organization, Information economics
  • Gregory Hislop,
    Software Engineering & Education
  • Tony Hu,
    Data Mining & Big Data, AI, Machine Learning, Databases
  • Weimao Ke,
    Information Retrieval
  • Mat Kelly,
    Web Archives, Metadata, Web Science, Linked Data, Digital Humanities, Information Retrieval, Information Visualization
  • Xia Lin,
    Information Visualization
  • Danuta Nitecki,
    Library & Information Science
  • Jung-ran Park,
    Knowledge Organization, CMC
  • Alex Poole,
    Archives and records management, digital curation, digital humanities, social justice
  • Michelle Rogers,
    Human Factors & Health Informatics
  • Aleksandra Sarcevic,
    HCI & Health Informatics
  • Il-Yeol Song,
    Big Data & Data Science, Databases, Modeling & Design, Smart Aging
  • Rosina Weber,
    Explainable agency, textual agents, language models, knowledge graphs
  • Jake Williams,
    Data Science, Analysis and Design
  • Erjia Yan,
    Scientometrics & Informetrics
  • Christopher Yang
    Data Science & Healthcare

Every year, there are research groups with specific funded positions, some of which are listed below. Faculty may also post open PhD research assistantships on their faculty or lab website.

Examples of open PhD research assistantship positions (admissions are not limited to these positions, but applicants in these areas are highly encouraged):

  • Denise Agosto welcomes students interested in media use and analysis of qualitative data for a study of how parents and community professionals act as media mentors and educators for youth.
  • Yuan An is developing ontology-based information alignment techniques involving both structured and unstructured data
  • Andrea Forte's Social Computing Research Group welcomes students who are generally interested in social computing issues, especially where they intersect systems and infrastructure design. Privacy and anonymity are current areas of growth. Click here for details.
  • Jane Greenberg is working on knowledge extraction using ontologies, automatic metadata generation, linked data, and metadata informed, data-driven approaches to research
  • Mat Kelly welcomes students with an interest in web data in the realms of preservation, access, distribution, personalization, privacy, and security.
  • Aleksandra Sarcevic’s Interactive Systems for Healthcare (IS4H) Research Lab welcomes students interested in designing, developing and implementing health information technology. Our current projects focus on reducing delays in fast-response teamwork and on the effects of a concurrent digital checklist on time-critical team performance. Click here for details.
  • Tony Hu welcomes students who are interested in data mining, data science & bioinformatics, social media analysis. Click here for details
  • Alex Poole welcomes students interested in archives, records management, digital preservation, digital curation, data curation, digital humanities, diversity, and social justice.
  • Rosina Weber is a member of the NCATS Biomedical Data Translator. With four doctoral students, the team investigates explaining results from AI and non-AI methods, utilizing metadata and APIs to connect to other NCATS components often using knowledge graphs, improve the quality of natural language understanding models for the biomedical domain, and conducting investigations with potential Translator users. Desired qualifications would include mastery in Python and experience building APIs. Ideal candidates would have an interest in at least two or more of these areas: deep learning, CBR, knowledge graphs, biomedical sciences, biomedical ontologies. Students receive a stipend of 26k-28k (before-after candidacy), full remission up to 9 credits, and full basic health insurance coverage through the University. Apply by submitting your CV with a brief message stating why you would like to join this project to rw37@drexel.edu.
  • Jake Williams' lab welcomes students who are focused on data science, especially with an interest in Natural Language Processing and Machine Learning for the design and analysis of social information processing systems.
  • Chris Yang welcomes students who are interested in healthcare informatics, social computing, data analytics, knowledge discovery, pharmacovigilance, and cybersecurity. Click here for details.

Apply Now

Learn more about the admissions requirements and application deadlines for the PhD in Information Science program.