CTSI Academy to Present “Automated Data Analysis: What We Need from Alexa in the Big Data Era”

CTSI Academy to Present “Automated Data Analysis: What We Need from Alexa in the Big Data Era”

Join us on Tuesday, October 9, 2018 from 4-5 p.m. in the MCW Alumni Center, as CTSI Academy features Dr. Spencer Huang presenting, “Automated Data Analysis: What We Need from Alexa in the Big Data Era.”

Data are becoming ubiquitous in all aspects of our life. It is the currency of information that is only useful when it is attainable and usable. However, obstacles and challenges exist as the volume and variability of massive data increase exponentially. In this presentation, major obstacles in analyzing big data will be discussed. Approaches will be presented regarding how to develop an innovative automated analytic system to enhance data flow, and how to connect data scientists and technologies with biomedical/clinical investigators to accelerate biomedical discovery and improve healthcare quality.

Dr. Chiang-Ching Spencer Huang is Associate Professor and Program lead of Biostatistics in the Zilber School of Public Health, University of Wisconsin, Milwaukee and Associate Adjunct Professor, Clinical & Translational Science Institute of Southeast Wisconsin. Dr. Huang obtained his PhD in Biostatistics from University of Michigan. Dr. Huang’s research focuses on bioinformatics and biomarker research. He is particularly interested in using modern data mining techniques to identify prognostic/diagnostic omics signatures in chronic diseases such as cancer, cardiovascular, and autoimmune diseases. He was the former director of Bioinformatics and Public Health Informatics at the Northwestern University Clinical and Translational Sciences Institute (NUCATS). He has served as PI or subcontract PI for bioinformatics in several large National Health Institutes Grant and Initiatives, including NCI’s Director’s Challenge, the Strategic Partnering to Evaluate Cancer Signatures (SPECS), and Therapeutically Applicable Research to Generate Effective Treatments(TARGET).

 

Bryan Belmer
bbelmer@mcw.edu


NIH Funding Acknowledgment: Important Reminder – Please acknowledge the NIH when publishing papers, patents, projects, and presentations resulting from the use of CTSI resources by including the NIH Funding Acknowledgement.

PARTNERS

Zablocki VA Medical CenterMedical College of WisconsinMSOE