https://orcid.org/0000-0003-1005-6385
Overview
My general research focus is on developing novel machine learning and artificial intelligence techniques that can be used to accelerate scientific discovery. I work extensively both on the fundamental theory and algorithms as well as translating them into scientific applications. I have extensive partnerships deploying machine learning techniques in environmental health, mental health, and neuroscience.
Current Appointments & Affiliations
Yoh Family Associate Professor of Civil and Environmental Engineering
·
2025 - Present
Civil and Environmental Engineering,
Pratt School of Engineering
Associate Professor of Civil and Environmental Engineering
·
2024 - Present
Civil and Environmental Engineering,
Pratt School of Engineering
Associate Professor in Biostatistics & Bioinformatics
·
2025 - Present
Biostatistics & Bioinformatics, Division of Biostatistics,
Biostatistics & Bioinformatics
Associate Professor in the Department of Electrical and Computer Engineering
·
2024 - Present
Pierre R. Lamond Department of Electrical and Computer Engineering,
Pratt School of Engineering
Associate Professor of Computer Science
·
2025 - Present
Computer Science,
Trinity College of Arts & Sciences
Associate Professor of Biomedical Engineering
·
2025 - Present
Biomedical Engineering,
Pratt School of Engineering
Faculty Network Member of the Duke Institute for Brain Sciences
·
2019 - Present
Duke Institute for Brain Sciences,
University Institutes and Centers
Recent Publications
Advanced artificial intelligence vs simpler models for 1-year death prediction among patients receiving hemodialysis.
Journal Article JAMIA Open · April 2026 OBJECTIVES: We evaluated the data requirement for modern AI tools to outperform simpler models in predicting short-term mortality in over 500 000 patients with hemodialysis-dependent kidney failure. MATERIALS AND METHODS: We compared logistic regression, b ... Full text Link to item CiteHiPPO Zoo: Explicit Memory Mechanisms for Interpretable State Space Models
Preprint · February 24, 2026 Link to item CiteScale-free and unbiased transformer with tokenization for cell type annotation from single-cell RNA-seq data
Journal Article Pattern Recognition · December 1, 2025 The exponentially increasing high-throughput single-cell RNA sequencing (scRNA-seq) data enables the further elucidation of more granular gene-cell expression patterns across diverse species, making the development of efficient cell type annotation methods ... Full text CiteRecent Grants
IUCRC Phase I Duke University: Center for Innovation in Risk-analysis for Climate Adaption and Decision-making (CIRCAD)
ResearchParticipating Faculty Member · Awarded by National Science Foundation · 2025 - 2030Duke-NCCU Interdisciplinary Postdoctoral Training Program in Child Psychiatric and Neurodevelopmental Conditions Program (DN-IPT)
Inst. Training Prgm or CMEPreceptor · Awarded by National Institute of Mental Health · 2024 - 2029Duke University Program in Environmental Health
Inst. Training Prgm or CMEMentor · Awarded by National Institute of Environmental Health Sciences · 2019 - 2029View All Grants
Education
Duke University ·
2015
Ph.D.