Neuroimaging and machine learning
The research of Huang lab focuses on developing cutting-edge neuroimaging techniques to understand structural and functional connectivity as well as quantify neural micro-structure for understanding brain development and predicting onset and progression of mental and neural disorders.
Epidemiologic modeling with machine learning and agents
We will integrate and use data from a variety of sources to develop and evaluate social network and agent-based models of health behavior and health information contagion, using readily available open-source software, and we will write and publish a scientific manuscript together, with an opportunity for authorship.
Development of intraoperative imaging agents to guide brain tumor resection.
Development of intraoperative imaging agents to guide brain tumor resection.
Wildlife Disease
Research will primarily integrate genetic and ecological approaches to study diseases of wildlife.
Human cognitive neurophysiology
Research focuses on using neurosurgical recordings, neuroimaging and neuromodulation to study the human brain networks supporting memory and perception.
Tumor Immunology
We investigate the specific functional and regulatory roles of distinct subsets of tumor-infiltrating neutrophils and macrophages in patients with lung cancer.
Cancer Stress Responses
Lost in translation: the unidentified cancer proteome and mechanisms of regulation.
Environmental Epidemiology
Environmental epidemiology to examine chemical exposure and human health outcomes.
Translational research in auto-inflammation and cytokine storm
Our group leverages insights from human inborn errors of immunity (IEI) in model systems to better understand, diagnose, monitor, and treat patients with autoinflammatory and hyperinflammatory/cytokine storm disorders.
Genetics and Treatment of Autism in Adults
Explore a much needed and understudied area of research!