A5068993440- Health, Environment, Cognitive Aging
- Air Quality and Health Impacts
- Air Quality Monitoring and Forecasting
- Effects and risks of endocrine disrupting chemicals
- Climate Change and Health Impacts
- Hate Speech and Cyberbullying Detection
- Misinformation and Its Impacts
- Topic Modeling
- Remote-Sensing Image Classification
- Metabolomics and Mass Spectrometry Studies
- Birth, Development, and Health
- Sperm and Testicular Function
- Pesticide Exposure and Toxicity
- Carcinogens and Genotoxicity Assessment
- Spectroscopy and Chemometric Analyses
- Urban Transport and Accessibility
- Nutritional Studies and Diet
- Vehicle emissions and performance
- Advanced Statistical Methods and Models
- Data-Driven Disease Surveillance
- Thermoregulation and physiological responses
- Ethics in Clinical Research
Northwestern University
2024-2025
Columbia University
2021-2025
Indicators of male fertility are in decline globally, but the underlying causes, including role environmental exposures, unclear. This study aimed to examine organic chemical pollutants seminal plasma, both known priority chemicals and less studied chemicals, identify uncharacterized reproductive toxicants. Semen samples were collected from 100 individuals assessed for sperm concentration, percent motility, total motile sperm. Targeted nontargeted pollutant exposures measured plasma using...
Background: Environmental health researchers often aim to identify sources or behaviors that give rise potentially harmful environmental exposures. Objective: We adapted principal component pursuit (PCP)—a robust and well-established technique for dimensionality reduction in computer vision signal processing—to patterns mixtures. PCP decomposes the exposure mixture into a low-rank matrix containing consistent of across pollutants sparse isolating unique extreme events. Methods: accommodate...
The association between fine particulate matter (PM2.5) and cardiovascular outcomes is well established. To evaluate whether source-specific PM2.5 differentially associated with disease in New York City (NYC), we identified sources examined the exposure risk of hospitalization for myocardial infarction (MI).We adapted principal component pursuit (PCP), a dimensionality-reduction technique previously used computer vision, as novel pattern recognition method environmental mixtures to apportion...
We present a new fact-checking benchmark, Check-COVID, that requires systems to verify claims about COVID-19 from news using evidence scientific articles. This approach is particularly challenging as it checking internet text written in everyday language against journal articles formal academic language. Check-COVID contains 1, 504 expert-annotated the coronavirus paired with sentence-level and veracity labels. It includes both extracted (journalist-written) composed (annotator-written)...
We present a new fact-checking benchmark, Check-COVID, that requires systems to verify claims about COVID-19 from news using evidence scientific articles. This approach is particularly challenging as it checking internet text written in everyday language against journal articles formal academic language. Check-COVID contains 1, 504 expert-annotated the coronavirus paired with sentence-level and veracity labels. It includes both extracted (journalist-written) composed (annotator-written)...
Abstract There is evidence that indicators of male fertility are in decline globally, but the underlying causes to this pressing global concern have yet be elucidated. While environmental chemicals likely major contributors, current knowledge determinants limited and does not adequately explain phenomenon. Previous studies typically examined only sets exposures blood or urine, which may accurately capture chemical burden relevant reproductive tissues, overlooked a large range potential...
BACKGROUND AND AIM: It is often of interest to identify sources environmental exposures from imperfect data that suffer block missingness, in which observations for multiple pollutants are missing across large portions the study period. METHODS: We adapted Principal Component Pursuit (PCP), a robust dimensionality reduction algorithm, air pollution incomplete data. PCP decomposes pollutant matrix into consistent patterns while separately isolating unique or outlying events. handles...
Background and Aim: Prenatal exposure to environmental chemicals is associated with behavioral symptoms of mental health. These often emerge across adolescence frequently co-occur, suggesting shared etiologic pathways. chemical exposures are correlated each other social such as maternal demoralization that also elevated symptoms. We aimed identify how complex patterns prenatal co-exposure factors psychiatric outcomes common in adolescence, attention problems, substance abuse, psychotic...
Previous studies of environmental exposures and male reproductive health have typically examined limited sets in the urine, which may not accurately capture chemical burden relevant tissues do consider a large range concurrent exposures. Here, we used combined targeted untargeted exposome approach to identify novel associations pollutants found seminal plasma, as individual metabolites co-exposure patterns, with parameters. Semen samples were collected from partners 100 heterosexual couples...
BACKGROUND AND AIM: While evidence suggests that daily ambient temperature exposure influences stroke risk, little is known about the potential triggering role of hourly exposure. We examined association between and ischemic hemorrhagic stroke, separately, assessed effect modification by hypertension in a secondary analysis. METHODS: identified primary hospitalizations for among New York State adults, 2000—2015, from NY Department Health Statewide Planning Research Cooperative System, via...
BACKGROUND AND AIM: Accurate PM2.5 exposure assessment, often performed using statistical prediction models, is a critical component of health studies and regulatory action. Ensemble modeling becoming increasingly popular as it improves accuracy by combining the unique strengths different models. Identifying where uncertainty greatest can inform monitor deployment model development. We fit an ensemble integrating multiple existing estimated location-specific in predictions, then identified...
BACKGROUND AND AIM: Environmental health (EH) researchers often aim to identify sources that drive potentially harmful environmental exposures. We have adapted Principal Component Pursuit (PCP), a robust dimensionality reduction algorithm, pattern recognition in EH. PCP decomposes the exposure matrix into consistent patterns of chemical while separately isolating unique or infrequent outlying events. further tailored for EH by adding: (1) non-negativity constraint enhance interpretability...
BACKGROUND AND AIM: The association between fine particulate matter (PM2.5) air pollution and cardiovascular outcomes is well-established. PM2.5 a heterogeneous mixture of chemical constituents its composition can vary by source. To evaluate whether from certain sources may be differentially associated with disease, we examined the same-day exposure to source-specific risk hospital admission for myocardial infarction (MI) in New York City (NYC). METHODS: We applied Absolute Principal...
Environmental health researchers often aim to identify sources/behaviors that give rise potentially harmful exposures. We adapted principal component pursuit (PCP)-a robust technique for dimensionality reduction in computer vision and signal processing-to patterns environmental mixtures. PCP decomposes the exposure mixture into a low-rank matrix containing consistent across pollutants sparse isolating unique events. accommodate non-negative missing data, values below given limit of detection...