Development of a generalizable multi-site and multi-modality clinical data cloud infrastructure for pediatric patient care. - Andrew Hornback; Wenqi Shi; Felipe O. Giuste; Yuanda Zhu; Ashley M. Carpenter; Coleman Hilton; Vinieth N. Bijanki; Hiram Stahl; Gary S. Gottesman; Chad Purnell; Henry J. Iwinski; J. Michael Wattenbarger; et al. (BCB, 2022)

Incorporating Habitats in Conceptual Models and Agent-Based Simulations: Expanding the Virtual Ecological Research Assistant (VERA). - Scott Bunin; Willventchy Celestin; Andrew Hornback; Spencer Rugaber (L@S, 2022)

Latent Topic Extraction as a Source of Labeling in Natural Language Processing. - Andrew Hornback; Yuanda Zhu; Monica Isgut; Wenqi Shi; Arjita Nema; Blake J. Anderson; May D. Wang (BIBM, 2023)

GeneDAE: A Sparse Denoising Autoencoder for Deriving Interpretable Gene Embeddings. - Monica Isgut; Neha Jain; Andrew Hornback; Karan Samel; May Dongmei Wang (Tiny Papers @ ICLR, 2023)

A Scalable Architecture for Conducting A/B Experiments in Educational Settings. - Andrew Hornback; Stephen Buckley; John Kos; Scott Bunin; Sungeun An; David A. Joyner; Ashok K. Goel 001 (L@S, 2023)

The Universal NFT Vector Database: A Scaleable Vector Database for NFT Similarity Matching. - Samrat Sahoo; Nitin Paul; Agam Shah; Andrew Hornback; Sudheer Chava (CoRR, 2023)

Conducting A/B Experiments with a Scalable Architecture. - Andrew Hornback; Sungeun An; Scott Bunin; Stephen Buckley; John Kos; Ashok K. Goel 001 (CoRR, 2023)

Uncovering Key Features of Individuals Who Benefit from Polygenic Risk Scores in Prostate Cancer Prediction. - Andrew Hornback; Monica Isgut; Anirudh Jaishankar; Harinishree Sathu; Pavithra Avula; May D. Wang (BCB, 2024)

Heterogeneous Treatment Effects of Spinal Fusion Surgery for Adolescent Idiopathic Scoliosis Patients. - J. Ben Tamo; Micky C. Nnamdi; Andrew Hornback; Matthew Chen; Wenqi Shi; Yuanda Zhu; Henry J. Iwinski; May D. Wang (BCB, 2024)

Improving A Large Healthcare System Research Data Warehouse Using OHDSI's Data Quality Dashboard. - Benoit Louis Marteau; Andrew Hornback; Yishan Zhong; Christian Lowson; Jason Woloff; Benjamin M. Smith; Coleman Hilton; May D. Wang (BHI, 2024)

Identifying Features for Keloid Scars Subtyping Using K-Modes Clustering. - Anirudh Jaishankar; Neha Jain; Andrew Hornback; Asma Khimani; Pavithra Avula; May D. Wang (EMBC, 2024)

Predicting Cardiovascular Disease Risk in Tobacco Users Using Machine Learning Algorithms. - Asma Khimani; Andrew Hornback; Neha Jain; Pavithra Avula; Anirudh Jaishankar; May D. Wang (EMBC, 2024)

EMxDesign: A Genetic Algorithm for High Affinity Drug Design. - Neha Jain; Andrew Hornback; May Dongmei Wang (GECCO Companion, 2024)

Graph theoretic visualization of patient and health worker messaging in the EHR. - Muhammad Zia Ul Haq; Andrew Hornback; Arash Harzand; David Andrew Gutman; Bradley Gallaher; Evan D. Schoenberg; Yuanda Zhu; May D. Wang; Blake Anderson (Frontiers Artif. Intell., 2024)

MENDR: Manifold Explainable Neural Data Representations. - Matthew Chen; Micky C. Nnamdi; Justin Shao; Andrew Hornback; Hongyun Huang; J. Ben Tamo; Yishan Zhong; Benoit Marteau; Wenqi Shi; May Dongmei Wang (CoRR, 2025)