Skip to main content

CREATE SE4AI hosted a webinar by Sumon Biswas, PhD Candidate at Iowa State University on "Understanding and Reasoning Fairness of Machine Learning Pipeline".

Link to presentation: https://www.youtube.com/channel/UCjCS6a_K301Ocg9z5Qd1GWA/videos

About the Speaker

sumonSumon Biswas is a Computer Science Ph.D. candidate at Iowa State University (ISU) and a Research Assistant in Laboratory for Software Design at ISU under the supervision of Professor Hridesh Rajan. His research interests are in the intersection of Software Engineering, Programming Languages, and Artificial Intelligence. He has worked on Machine Learning (ML) software repository mining and analysis in large-scale using the Boa framework. He worked on building Python language support for Boa to analyze ML programs and Jupyter Notebooks. Currently, he is working in the D4 (Dependable Data-Driven Discovery) initiative at ISU towards increasing the dependability of data-driven software. Specifically, he is conducting research on understanding the societal bias in ML models and reasoning about fairness property and its mitigation in ML pipelines. His research results appeared in reputed software engineering venues including ICSE and ESEC/FSE.

Homepage: https://sumonbis.github.io

CREATE SE4AI is pleased to present Patrick Mesana, Consultant at National Bank of Canada and PhD Candidate at HEC, who spoke on Balancing Data Valorization and Privacy: Industry Challenges and Opportunities.

In his talk, Patrick delved into the distinct characteristics of data as a digital asset and examined the challenges of striking a balance between data valorization and privacy. Emphasizing the importance of data management in large organizations, such as financial institutions, he addressed the emerging challenges posed by privacy laws and the rapid growth of AI. Through a discussion of evolving practices like privacy-by-design, advances in privacy engineering, and innovative privacy technologies such as data synthesis, he offered valuable insights for navigating the intricate future of data privacy within organizations. Furthermore, he brought to light potential future disruptors, such as open banking in Canada, particularly relevant to the finance sector.

About the Speaker:

Patrick Mesana began his career as a software engineer, gaining experience with consulting companies and startups before transitioning into the field of Data Science. As a former manager in the Data Office of National Bank of Canada (NBC), Patrick encountered numerous data management challenges. He is currently pursuing a PhD in decision science to explore the tradeoffs between data privacy and data value. In addition, Patrick serves as a researcher and scientific lead on these topics for the AI Factory at NBC.

The webinar recording is available to view on our CREATE SE4AI YouTube channel.