Last reminder for the upcoming webinar:
Title: Cloud computing to improve equity in data science education and research
Date/Time: August 25, Thursday, 11:00 AM – 12:00 PM EST.
Abstract:
In this talk, we'll explore how cloud computing can be used to improve equity in data science education and research. We'll begin by discussing some of cloud computing's advantages, such as scalability and flexibility. We'll then see how these advantages can be used to level the playing field in education by providing access to powerful computing resources for all students and researchers. We'll also look at how cloud computing can help researchers to collaborate more effectively, share data sets more easily, and process large datasets more efficiently without a large budget. We'll see how this technology can enable discoveries and help accelerate the pace of scientific progress without a steep learning curve. I will also share with you the tools and use cases that I have leveraged in my courses and research projects.
Bio of the speaker:
Mohammad Soltanieh-ha is a Clinical Assistant Professor in the Information Systems department at Boston University's Questrom School of Business. Mohammad obtained his Ph.D. in computational physics in 2015 from Northeastern University, where he studied strongly correlated electronic systems in low dimensions. His current research interest revolves around computer vision applications in automating cancer diagnosis, macroeconomics time-series forecasting, and large-scale high-performance computing. His teaching experience includes data science programming, big data analytics, and data science applications in business. Mohammad has leadership roles at Google and the American Physical Society (APS). In 2019, he founded the data science unit within APS and served as the founding chair. Additionally, he is a Faculty Expert at Google Cloud, where he advocates for cloud computing education and helps other faculty members with best practices.
This webinar will be offered online via Zoom. Please register to receive the Zoom link prior to the webinar.
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Jianjun Hua
Statistical Consultant
Dartmouth College
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