John Santerre
researchermachine-learningbioinformaticsantimicrobial-resistancefaculty
Abstraction: John Santerre academic publication record spanning ML, bioinformatics, and applied data science
Key points:
- Most-cited work: "Antimicrobial resistance prediction in PATRIC and RAST" (Scientific Reports, 2016; 284 citations), co-authored with Davis, Boisvert, Brettin et al. at Argonne National Laboratory
- Second most-cited: "PATRIC as a unique resource for studying antimicrobial resistance" (Briefings in Bioinformatics, 2019; 139 citations)
- sEMG gesture recognition with attention models (ML4Health 2020; 61 citations) reflects HCI/wearable ML research thread
- Research spans AMR prediction, ECG cardiac-arrest instability detection, planetary science (Titan cloud mapping, ALMA spectroscopy), exercise classification from IMUs, and cell biology imaging
- SMU Data Science Review is the primary venue for collaborative student-faculty applied ML papers
- Most recent highly cited work (2025): automated instance segmentation for cloud mapping on Saturn's moon Titan (JGR: ML and Computation)
Connections: John Santerre · Argonne National Laboratory · Smu · Machine Learning · Antimicrobial Resistance · Bioinformatics
Source: https://scholar.google.com/citations?user=S-pQwpgAAAAJ&hl=en