Stanford MLSys Seminar Episode 42: Baishakhi Ray [Th, 1.35-2.30pm PT]
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Karan Goel
Oct 12, 2021, 11:01:46 AM10/12/21
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Hi everyone,
We're back with the forty-second episode of the MLSys Seminar on Thursday from 1.35-2.30pm PT.
We're back with the forty-second episode of the MLSys Seminar on Thursday from 1.35-2.30pm PT.
We'll be joined by Baishakhi Ray, who will talk about improving software reliability using machine learning. The format is a 30 minute talk followed by a 30 minute podcast-style discussion, where the live audience can ask questions.
Livestream Link: https://www.youtube.com/watch?v=GTbMN8ULx18
Guests: Baishakhi Ray
Title: Improving Software Reliability using Machine Learning
Abstract: Software bugs cost millions of dollars to the US economy. Improving software reliability has been one of the primary concerns of Software Engineering, Security, Programming Language, and Verification research over decades. Researchers developed numerous automatic bug-finding tools, either based on static code analysis or analyzing dynamic code behavior. However, the adoption of these methods in the real-world is still limited, partly because most of them require a significant amount of manual work from developers and have a steep learning curve. In this talk, I will discuss how machine learning-based approaches can help us to automate and scale up the bug-finding (especially with respect to fuzz-testing) and bug-fixing process for large real-world programs.
Bio: Baishakhi Ray is an Associate Professor in the Department of Computer Science, Columbia University, NY, USA. She has received her Ph.D. degree in Electrical & Computer Engineering from the University of Texas, Austin. Baishakhi's research interest is in the intersection of Software Engineering and Machine Learning. Baishakhi has received the NSF CAREER award, IBM Faculty Award, and VMware Early Career Faculty Award, and many best Paper awards including FASE 2020, FSE 2017, MSR 2017, IEEE Symposium on Security and Privacy (Oakland), 2014. Her research has also been published in CACM Research Highlights and has been widely covered in trade media.
Bio: Baishakhi Ray is an Associate Professor in the Department of Computer Science, Columbia University, NY, USA. She has received her Ph.D. degree in Electrical & Computer Engineering from the University of Texas, Austin. Baishakhi's research interest is in the intersection of Software Engineering and Machine Learning. Baishakhi has received the NSF CAREER award, IBM Faculty Award, and VMware Early Career Faculty Award, and many best Paper awards including FASE 2020, FSE 2017, MSR 2017, IEEE Symposium on Security and Privacy (Oakland), 2014. Her research has also been published in CACM Research Highlights and has been widely covered in trade media.
See you all there!
Best,
Karan
Karan Goel
Oct 14, 2021, 4:22:15 PM10/14/21
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Reminder: this is in 10 minutes!
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