Data Science and beyond: Technical, economic and societal challenges

Zürich meets San Francisco: ZHAW School of Engineering and San José State University

Lecture

October 25, 2018
1:00pm to 4:00pm
San Jose, CA

Cost

Free

Register

Mongeau speaking at SJSU

David Mongeau speaking at SJSU.

BIDS Executive Director David Mongeau and BIDS Senior Fellow Dani Ushizima were featured speakers during this afternoon event, which included lecture presentations and panel discussions on the emerging field of Data Science. Speakers represented a wide range of perspectives - including technological, economic and societal challenges - and present various international views on the topic, and also address the impact of the new EU data protection regulation on data science activities. International representatives from both academia and industry contributed to the panel discussion, forming a holistic view based of various forms of data, such as images, text and numeric data. This event was presented in cooperation with ZHAW School of Engineering and San José State University.

Speaker(s)

David Mongeau

Executive Director

David Mongeau is the Executive Director of BIDS.  With the Director and Faculty Council, he sets strategic direction and oversees the institute’s research, training, and outreach.  David also leads the institute’s industry and foundation relations and its engagement with other UC and global research institutes – all toward the overarching mission at BIDS to create and deploy data science methods, practices, and technologies to enable discovery. 

Previously, David co-led the data analytics institute at Ohio State; worked at Battelle, where he championed its proposal for an AI and cybersecurity company, now Covail; and worked for many years at Bell Labs – starting on the team that introduced the first C++ compiler and UNIX System V and leaving after building a global business and technology consulting practice, now part of Nokia Bell Labs Consulting.

David earned his undergraduate degree at Carnegie Mellon University, and later earned a graduate degree at Rensselaer Polytechnic Institute and an MBA from Purdue University. Many of his interests lie beyond data science, embracing the humanities and arts.

Daniela Ushizima

Staff Scientist, Computational Research Division, LBNL

BIDS Faculty Affiliate Dani Ushizima is a Staff Scientist in the Computational Research Division at LBNL, where she leads the Image Processing/Machine Vision team at CAMERA. She also leads the Center for Recognition and Inspection of Cells (CRIC), where her research focuses on imaging cancer cells for early-stage disease diagnosis. With 20 years of research and development experience in Computer Vision, Dani has focused primarily on quantitative microscopy and microstructure classification, from materials science to biomedical imaging.