- Team Dynamics and Performance
- Human Resource Development and Performance Evaluation
- Job Satisfaction and Organizational Behavior
- Gender Diversity and Inequality
- Dementia and Cognitive Impairment Research
- Organizational Learning and Leadership
- Knowledge Management and Sharing
- Social and Intergroup Psychology
- Functional Brain Connectivity Studies
- Alzheimer's disease research and treatments
- Health, Environment, Cognitive Aging
- Software Engineering Techniques and Practices
- Human Resource and Talent Management
- Organizational Leadership and Management Strategies
- Death Anxiety and Social Exclusion
- Global Health Workforce Issues
- Disaster Response and Management
- Psychological Well-being and Life Satisfaction
- Psychological and Educational Research Studies
- Systems Engineering Methodologies and Applications
- Emotional Intelligence and Performance
- Racial and Ethnic Identity Research
- Mindfulness and Compassion Interventions
- Fashion and Cultural Textiles
- Single-cell and spatial transcriptomics
University of Houston
2021-2024
Collaborative Research Group
2024
Hartnell College
2023
Alzheimer’s Disease Neuroimaging Initiative
2023
Rice University
2015-2021
Asian Development Bank
2018
American College of Financial Services
2018
Houston Methodist
2018
American University
2018
American College Testing
2018
Longitudinal imaging data are routinely acquired for health studies and patient monitoring. A central goal in longitudinal is tracking relevant change over time. Traditional methods remove nuisance variation with custom pipelines to focus on significant changes. In this work, we present a machine learning–based method that automatically ignores irrelevant changes extracts the time-varying signal of interest. Our method, called Learning-based Inference imAge Changes (LILAC), performs pairwise...
Abstract Alzheimer’s disease typically progresses in stages, which have been defined by the presence of disease-specific biomarkers: amyloid (A), tau (T) and neurodegeneration (N). This progression biomarkers has condensed into ATN framework, each can be either positive (+) or negative (−). Over past decades, genome-wide association studies implicated ∼90 different loci involved with development late-onset disease. Here, we investigate whether genetic risk for contributes equally to stages...
To better understand the effects of demographic diversity on teams, we conducted a meta-analytic investigation relationship between team and processes. Drawing from categorization-elaboration model, hypothesized that elicits opposing performance via information elaboration social categorization We also explored several team-level contextual moderators these relationships. In our meta-analysis 406 38,304 found is related to increased processes, but did not find support for elaboration....
Most organizations invest in leadership training and development initiatives, but which programs are worth the money is not always clear. To help leaders policymakers make informed decisions about their investments, we review empirical research from organizational sciences provide evidence-based guidance regarding appropriate design delivery of such interventions. Leadership distinct initiatives based on different needs targeted at albeit interrelated goals. We describe important...
Background Certain leadership behaviours are particularly helpful for healthcare teams remain effective through crisis situations, such as the Covid-19 pandemic. This paper summarizes evidence-based insights based on their importance and prevalence in literature to provide recommendations that apply medical team leaders broadly construed. We recommend adopt these conditions of intense difficulty, uncertainty, well physical psychological peril. Results draw from research workplace resilience,...
Most organizations invest in leadership training and development initiatives, but which programs are worth the money is not always clear. To help leaders policymakers make informed decisions about their investments, we review empirical research from organizational sciences provide evidence-based guidance regarding appropriate design delivery of such interventions. Leadership distinct initiatives based on different needs targeted at albeit interrelated goals. We describe important...
Abstract An understanding of the demands contemporary world work may help guide policy‐ and decision‐making processes. However, despite importance this understanding, few studies have attempted to examine universe available occupations determine most in‐demand knowledge, skills, abilities, other worker characteristics (KSAOs) as well relative these KSAOs across occupations. This study addresses first concern by calculating weighted averages that rely on Occupational Information Network's...