Seminars and Events

Artificial Intelligence Research for Health

You Learned What?

Event Details

“Data is like garbage. You’d better know what you are going to do with it before you collect it.” Mark Twain


While development of machine learning and AI algorithms for health applications can be thought of as an experimental process, in reality, robust experimental procedures are not followed more often than not. As a result, we are seeing in the literature increasing reports of machine learning algorithms that are either weaker than stated, or in some instances, just wrong. While the causes for these issues can be complex, in many cases, their cause can be traced back to basic flaws in data management and data handling. We argue that part of the problem is a tendency to think in of the problems to be solved as algorithm or code centric rather that data centric.


In my talk, I will describe the range of concerns that one must tackle in establishing sound data practices for machine learning experiments, and illustrate with specific examples from data sets are working with within the context of the Center for AI Research In Medicine. I will provide some specific solutions and illustrate with applications we are developing in Neuroscience and cell biology.

Host: Michael Pazzani, Principal Scientist

To promote discussion, we have arranged a lunch after our Artificial Intelligence Research for Health Seminar: Monday, May 22, 2023 11:00am – 12:00pm PDT

Register for in-person attendance and lunch here.

The AI Research for Health seminar features AI and health researchers presenting their research on AI and Data Science with an impact on human health. The goal is to foster new collaborations among researchers in these fields.  The talks will be live at The USC-Information Science Institute in Marina Del Rey (room 1135/1137) and on zoom.

We have also received inquiries about attending in person if you are not affiliated with ISI. This requires checking in with reception on the 10th-floor where you will be directed to the 11th floor conference room. We will also validate parking.

Students and postdocs are welcome. There is a shuttle from campus: Marina del Rey Shuttle – USC Transportation

Register for zoom by clicking here: Webinar Registration – Zoom


Speaker Bio

Carl Kesselman is the Director of ISI's Informatics Systems Research division. Created to understand how to build informatics systems that can help tackle the hardest problems of great societal impact, the work of the division spans grid computing, information security, service-oriented architectures, and sociotechnical systems and reproducibility. Kesselman is also co-Director of the Center for Research in AI in Medicine.

Kesselman is an ISI Fellow, the Institute's highest honor. One of the fathers of grid computing and the GLOBUS open-source toolbox, now the de facto grid computing standard, he has received numerous honors for his pioneering research including the Lovelace Medal from the British Computer Society and the Goode Memorial Award from the IEEE Computer Society. He is a Fellow of the British Computer Society and the Association for Computing Machinery.

Kesselman joined ISI in 1997 as a USC Computer Science Department research associate professor. Kesselman received his PhD in Computer Science from the University of California at Los Angles, an MS in Electrical Engineering from the University of Southern California and a BS in Electrical Engineering from the State University of New York at Buffalo.