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
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
Assistant Professor in the Department of Electrical and Computer Engineering
·
2018 - Present
Electrical and Computer Engineering,
Pratt School of Engineering
Associate Professor of Computer Science
·
2025 - Present
Computer Science,
Trinity College of Arts & Sciences
Faculty Network Member of the Duke Institute for Brain Sciences
·
2019 - Present
Duke Institute for Brain Sciences,
University Institutes and Centers
Recent Publications
The NERVE-ML (neural engineering reproducibility and validity essentials for machine learning) checklist: ensuring machine learning advances neural engineering.
Journal Article Journal of neural engineering · March 2025 Objective.Machine learning's (MLs) ability to capture intricate patterns makes it vital in neural engineering research. With its increasing use, ensuring the validity and reproducibility of ML methods is critical. Unfortunately, this has not always ... Full text CiteA hybrid approach for integrating micro-satellite images and sensors network-based ground measurements using deep learning for high-resolution prediction of fine particulate matter (PM2.5 ) over an indian city, lucknow
Journal Article
Atmospheric Environment
·
December 1, 2024
The detrimental impacts of fine particulate matter (PM2.5) on human health, climate, ecosystems, crops, and building materials are well-established. However, there remain unresolved inquiries regarding the precise location of the sources of PM2.5. This stu ...
Full text
Cite
Model selection to achieve reproducible associations between resting state EEG features and autism.
Journal Article Sci Rep · October 25, 2024 A concern in the field of autism electroencephalography (EEG) biomarker discovery is their lack of reproducibility. In the present study, we considered the problem of learning reproducible associations between multiple features of resting state (RS) neural ... Full text Link to item CiteRecent Grants
Duke-NCCU Interdisciplinary Postdoctoral Training Program in Child Psychiatric and Neurodevelopmental Conditions Program (DN-IPT)
Inst. Training Prgm or CMEPreceptor · Awarded by National Institutes of Health · 2024 - 2029Duke University Program in Environmental Health
Inst. Training Prgm or CMEMentor · Awarded by National Institutes of Health · 2019 - 2029Duke University Psychiatry Physician-Scientist Residency Training Program
Inst. Training Prgm or CMEMentor · Awarded by National Institutes of Health · 2024 - 2029View All Grants
Education, Training & Certifications
Duke University ·
2015
Ph.D.