Research

My research revolves around Efficient AI Methods, AI for Science, AI Alignment, Large Language Models, and Software Systems.

AI for Science
  1. Generation-Augmented Retrieval for Product Recommendations
    David Oniani, Nathan Liu, Jin Shang, Alex Patry, Suju Rajan
    AMLC 2025 (2025)
  2. A Scoping Review of Artificial Intelligence for Precision Nutrition
    Xizhi Wu, David Oniani, Zejia Shao, Paul Arciero, Sonish Sivarajkumar, Jordan Hilsman, Alex E Mohr, Stephanie Ibe, Minal Moharir, Li-Jia Li, Ramesh Jain, Jun Chen, Yanshan Wang
    Advances in Nutrition (2025)
  3. Generative LLMs for Query-Product Relevance: Findings and Observations
    David Oniani, Amjad Jbara
    AMLC Workshop on Gen AI, Personalization Algorithms and Recommender Systems (2024)
  4. Clinical Information Retrieval: A scoping review
    Sonish Sivarajkumar, Haneef Ahamed Mohammad, David Oniani, Kirk Roberts, William Hersh, Hongfang Liu, Daqing He, Shyam Visweswaran, Yanshan Wang
    Journal of Healthcare Informatics Research (2024)
  5. Natural Language Processing for Digital Health in the Era of Large Language Models
    Abeed Sarker, Rui Zhang, Yanshan Wang, Yunyu Xiao, Sudeshna Das, Dalton Schutte, David Oniani, Qianqian Xie, Hua Xu
    Yearbook of Medical Informatics (2024)
  6. Emerging Opportunities of Using Large Language Models for Translation Between Drug Molecules and Indications
    David Oniani, Jordan Hilsman, Chengxi Zang, Junmei Wang, Lianjin Cai, Jan Zawała, Yanshan Wang
    Scientific Reports (2024)
  7. Generative AI enhanced with NCCN clinical practice guidelines for clinical decision support: A case study on bone cancer
    Yanshan Wang, Xizhi Wu, Luke Carlson, David Oniani
    ASCO 2024 (2024)
  8. Extraction of Sleep Information from Clinical Notes of Alzheimer's Disease Patients Using Natural Language Processing
    Sonish Sivarajkumar, Thomas Yu CHow Tam, Haneef Ahamed Mohammad, Samual Viggiano, David Oniani, Shyam Visweswaran, Yanshan Wang
    JAMIA (2024)
  9. Toward Improving Health Literacy in Patient Education Materials with Neural Machine Translation Models
    David Oniani, Sreekanth Sreekumar, Renuk DeAlmeida, Dinuk DeAlmeida, Vivian Hui, Young Ji Lee, Yiye Zhang, Leming Zhou, Yanshan Wang
    AMIA Informatics Summit (2023)
  10. Comparisons of Graph Neural Networks on Cancer Classification Leveraging a Joint of Phenotypic and Genetic Features
    David Oniani, Chen Wang, Yiqing Zhao, Andrew Wen, Hongfang Liu, Feichen Shen
    arXiv (2021)
  11. Leveraging a Joint of Phenotypic and Genetic Features on Cancer Patient Subgrouping
    David Oniani, Chen Wang, Yiqing Zhao, Andrew Wen, Hongfang Liu, Feichen Shen
    arXiv (2021)
  12. Social and Behavioral Determinants of Health in the Era of Artificial Intelligence with Electronic Health Records: A Scoping Review
    Anusha Bompelli, Yanshan Wang, Ruyuan Wan, Esha Singh, Yuqi Zhou, Lin Xu, David Oniani, Bhavani Singh Agnikula Kshatriya, Joyce (Joy) E. Balls-Berry, Rui Zhang
    Health Data Science (2021)
  13. Constructing Co-occurrence Network Embeddings to Assist Association Extraction for COVID-19 and Other Coronavirus Infectious Diseases
    David Oniani, Guoqian Jiang, Hongfang Liu, Feichen Shen
    JAMIA (2020)
AI Alignment & Evaluation
  1. Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI
    Mahyar Abbasian, Elahe Khatibi, Iman Azimi, David Oniani, Zahra Shakeri Hossein Abad, Alexander Thieme, Ram Sriram, Zhongqi Yang, Yanshan Wang, Bryant Lin, Olivier Gevaert, Li-Jia Li, Ramesh Jain, Amir M. Rahmani
    npj Digital Medicine (2024)
  2. Enhancing Large Language Models for Clinical Decision Support by Incorporating Clinical Practice Guidelines
    David Oniani, Xizhi Wu, Shyam Visweswaran, Sumit Kapoor, Shravan Kooragayalu, Katelyn Polanska, Yanshan Wang
    Human-Centred XAI: Enhancing AI Acceptability for Healthcare (IEEE ICHI Workshop) (2024)
  3. Adopting and expanding ethical principles for generative artificial intelligence from military to healthcare
    David Oniani, Jordan Hilsman, Yifan Peng, Ronald K. Poropatich, Jeremy C. Pamplin, Gary L. Legault, Yanshan Wang
    npj Digital Medicine (2023)
  4. A Qualitative Evaluation of Language Models on Automatic Question-Answering for COVID-19
    David Oniani, Yanshan Wang
    ACM-BCB (2020)
Efficient AI Methods
  1. In-Context Learning Functions with Varying Number of Minima
    David Oniani, Yanshan Wang
    arXiv (2023)
  2. Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks: Algorithm Development and Validation Study
    David Oniani, Premkumar Chandrasekar, Sonish Sivarajkumar, Yanshan Wang
    JMIR AI (2023)
  3. Large Language Models Vote: Prompting for Rare Disease Identification
    David Oniani, Jordan Hilsman, Hang Dong, Fengyi Gao, Shiven Verma, Yanshan Wang
    arXiv (2023)
Software Systems & Infrastructure
  1. The ENACT network is acting on housing instability and the unhoused using the open health natural language processing toolkit
    Daniel R. Harris, Sunyang Fu, Andrew Wen, Alexandria Corbeau, Darren Henderson, Jordan Hilsman, David Oniani, Yanshan Wang
    JCTS (2024)
  2. ReDWINE: A clinical datamart with text analytical capabilities to facilitate rehabilitation research
    David Oniani, Bambang Parmanto, Andi Saptono, Allyn Bove, Janet Freburger, Shyam Visweswaran, Jonathan Silverstein, Michael Becich, Anthony Delitto, Elizabeth Skidmore, Yanshan Wang
    International Journal of Medical Informatics (2023)
Teaching Computer Science
  1. Setting Up Python Development Environment for Use in a Small Classroom
    Roman Yasinovskyy, Karina Hoff, David Oniani
    Midwest Instruction and Computing Symposium (2020)
Foundations & Mathematics
  1. Cosine Similarity and Its Applications in the Domains of Artificial Intelligence
    David Oniani
    (2020)
  2. The Topology of Robotic Configuration and Motion Planning
    David Oniani
    (2019)
  3. Type Inference Rules For Container Types in CCL
    David Oniani
    (2019)
  4. Textual and Statistical Analysis of Russian IRA Facebook Advertisements
    David Oniani
    (2019)