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
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
Scale-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 CiteApplications of Machine Learning and Artificial Intelligence in Tropospheric Ozone Research
Journal Article Geoscientific Model Development · November 20, 2025 Machine learning (ML) is transforming atmospheric chemistry, offering powerful tools to address challenges in tropospheric ozone research, a critical area for climate resilience and public health. As in adjacent fields, ML approaches complement existing re ... Full text CiteSleep-Wake States Are Encoded across Emotion Regulation Regions of the Mouse Brain.
Journal Article eNeuro · November 2025 Emotional dysregulation is highly comorbid with sleep disturbances. Sleep is composed of unique physiological states that are reflected by conserved brain oscillations. Though the role of these state-dependent oscillations in cognitive function has been we ... Full text Link to item 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, Training & Certifications
Duke University ·
2015
Ph.D.