Who I Am

Biomedical & Health Informatics Doctoral Student with a passion for unraveling the complexities of biological and health data to develop innovative solutions and drive impact. Leveraging experience in biotechnology software and regulatory compliance gained through prior 3+ years of industry experience, I am committed to pushing the boundaries of scientific discovery and technological advancement.

Discover My Work

  • Architecture of Biomolecular Networks

    Exploratory work researching biological network structure predictions and common patterns

  • Healthcare Regulatory Process & Current Constraints

    Research presentation looking into intellectual property in the healthcare industry (ANDA & NDAs) and current constraints in review

  • Automated Methods to Improve Legal Epidemiology Coding Assessments

    RAG, LLM, and Cosine Similarity based software analysis comparing automated legal coding to human annotators

  • Using a Word Embedding Approach to Detect Negative Provider Sentiment in Clinical Notes

    NLP and sentiment based analysis applied to EHR clinical note dataset (MIMIC) using a sentiment dictionary to detect provider sentiments for sub-population groups

Conference and Publications

  • Do Clinical Notes Reflect Clinical Conversations? A Sentiment Analysis using the Observer Dataset
    Raj, A., Yi, K., Palli, R., Sureshkumar, P., Chia, C., Tran, M., Lam, D.B., Hartzler L. A., Wedgeworth, P.
    Pacific Symposium on Biocomputing (PSB) 2027, The Big Island of Hawaii, Jan 2027 Paper & Poster. View the poster
  • Making Clinical Communication Measurable: Building an AI-Ready Gold-Standard Dataset with the RELATE Framework
    Raj, A.
    AMIA Annual Symposium 2026, Dallas, Texas, Nov 2026 Paper & Presentation. View the Presentation
  • From Notes to Conversations: Evaluating Automated Detection of Biased Clinical Communication
    Raj, A., Palli, R., Hartzler L. A., Lam, D.B., Wedgeworth, P.
    AMIA Amplify 2026, Denver, Colorado, May 2026. Poster View the Poster

Side Projects

What I build

  • Living History

    Living History

    Living History scavenger hunt map of San Francisco, showing nearby species and landmarks as markers with distance and Wikipedia links

    A location aware Progressive Web App that transforms any neighborhood into an interactive adventure. Using Wikipedia and biodiversity data, it surfaces nearby points of interest and weaves them into scavenger hunts and walking trails.

Investment and Outcomes

Where I am investing time and driving innovation

  • Programmatic Competency Python | R | SQL
  • Research Projects 2 Ongoing
  • Data Storytelling 2+ Years
  • Scientific Communication 3+ Years

Contact Me

If you would like to get in touch or discuss more about my work
send me a message via LinkedIn or Email