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May 12th: Future of AI and Data Science in Telecommunications

Wednesday, May 12th, 11:00 am – 12:00 pm Central
Register for Zoom details

Join us for a fireside chat with Bryan Larish, Chief Security Architect, Networks at Verizon and Nick Feamster, Neubauer Professor of Computer Science at the University of Chicago, on the emerging uses of AI and data science in telecommunications. Learn how machine learning can be used for advanced anomaly detection, IoT, edge computing and security applications. They will discuss the state of the field both in academia and industry, what changes have occurred due to COVID-19, and where they see opportunities for innovation.

The event will be moderated by Heather Zheng, Neubauer Professor of Computer Science at UChicago.

And join us June 2nd for our next CDAC Data & Technology Outlook: Data-Driven Medicine & Precision Oncology with Eric Lefkofsky, founder and CEO at Tempus, and Dr. Olufunmilayo I. Olopade, the Walter L. Palmer Distinguished Service Professor of Medicine and Human Genetics at the University of Chicago, as they discuss some of the most talked-about issues at the intersection of technology, big data, and medicine. They will focus on the potential for big data in the prediction, prevention and early detection of cancer, the promising field of precision therapeutics, and the impact of the COVID-19 pandemic.

View previous CDAC Data & Technology Outlook events



May 14th: Booth AI Summit

The Booth AI Group will present the first ever full-scale Booth AI Conference on Friday, May 14 at 11:30 AM. The event features a panel discussion with IBM CEO Arvind Krishna and Professor Austan Goolsbee

Prof. Goolsbee and Dr. Krishna will talk about Cloud, AI, Competition, Partner Strategy and Krishna’s path from a technical leader to business leader. The keynote panel will be followed up with an additional round table from 1:30 PM to 3:00 PM.



CDAC Job Openings & Opportunities

We have several positions open for project managers, postdoctoral researchers, and software engineers on CDAC projects and initiatives. Please share these opportunities far and wide across your networks. New openings include:


The University of Chicago Pritzker School of Molecular Engineering is seeking candidates for 2–3 postdoctoral scholar research positions, funded primarily by the University of Chicago Center for Data and Computing. Postdoctoral scholars will lead interdisciplinary research projects and collaborations in the areas of machine learning, genomics, clinical cancer care, and image-based computer vision. Advances in genomics have led to new cancer therapies that target specific genetic or molecular features, raising the potential for effective personalized treatments with reduced side effects. However, the majority of patients treated with targeted therapies do not respond as predicted, and detailed patient genomic information is expensive to acquire. The goals of this initiative are to develop new artificial intelligence approaches that improve targeting of cancer treatment by combining multiple streams of genetic information with tumor pathology images. Postdoctoral scholars will create new methods that draw upon computer vision and machine learning to extract essential contextual information about individual cancers from tumor samples, utilizing genomic, transcriptional, and image-based features. Apply


We are seeking collaborators for a short-term project on the development and application of statistical and deep learning techniques for the analysis of Cosmic Microwave Background (CMB) imaging data. We are seeking postdocs and graduate students with experience in statistics and deep learning applications for computer vision in the context of astronomy and cosmology. The scope of work includes the innovation, development, and application of deep learning techniques for the analysis of CMB. Both projects will likely touch on issues and opportunities to advance deep learning algorithms, methods in uncertainty quantification for machine learning, and high-performance computing. We are seeking to collaborate as soon as possible, and aim to complete work (including submit publications) by late 2022. We can provide funding for graduate students or a postdoc for about a year.

For more information, contact Brian Nord.

More CDAC Jobs and Opportunities