Consulting

We welcome our faculty and student, industrial and business clients, and government/non-profit organizations. Our consultants have years of experience in various areas. Technically, the scientific areas include but not limited to:

• Statistics/Biostatistics 
• Bioinformatics (including genomics and transcriptomics) 
• Scientific Computing, Modelling and Optimization
• Mathematical finance
• Machine learning (including deep learning) 

We are ready for the following components for data analyses:

• Data/Information management: Our staff and consultant have experience managing big, complex, and unstructured data with scripting languages and tools. 
• Data exploration: Our staff and consultant have expertise in data visualization, interpretation, and hypothesis-generating research. 
• Advanced methodology for data science: Our staff and consultant have expertise in methodology, including advanced statistical analysis, Bayesian analysis, computational statistics, machine learning, artificial intelligence, deep learning, uncertainty quantification, business analytics, sensitivity analysis, and bioinformatics. 
• Grant proposal and manuscript preparation: Our staff and consultant have experience writing sections related to the data science of grant proposals or manuscripts as co-PI or co-investigator to strengthen an application.