AI-Fun with ELLIS Seminar | Mariia Vladimirova
| Dates: | 19 February 2025 |
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| Times: | 11:00 - 12:00 |
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| What is it: | Seminar |
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| Organiser: | Faculty of Science and Engineering |
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| Who is it for: | University staff, External researchers, Alumni, Current University students |
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| Speaker: | Mariia Vladimirova |
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The Manchester Centre for AI Fundamentals and Manchester's ELLIS Unit are co-hosting a series of seminars featuring expert researchers working in the fundamentals of AI.
Title: TBC
Bio: I am a senior research scientist at Criteo AI Lab in the Fundamental Deep Learning team. I contribute to both academic and industrial research, focusing on explaining and improving machine learning methods through probabilistic and causal statistical approaches. At Criteo, I lead research initiatives aimed at ensuring algorithmic fairness in online systems and provide consulting to policymakers on AI regulations.
In addition to my professional endeavors, I am an advocate for gender diversity and inclusivity in the tech industry, actively promoting and organizing events to foster equitable opportunities and representation.
Before joining Criteo, I did my postdoc at Inria Grenoble Rhone-Alpes in the Statify team. The goal was to continue my previous research on the exploration distributional properties of Bayesian neural networks. More specifically, I was interested in explaining the difference between deep learning models of wide and shallow regimes in order to improve the interpretability and efficiency of the models.
I obtained my PhD degree in applied mathematics in 2022 at the University Grenoble Aples and Inria reseach center. I was a part of Statify and Thoth teams, under supervision of Julyan Arbel and Jakob Verbeek. During November 2019-January 2020, I was visiting Duke University and working on prior predictive distributions in Bayesian neural networks under supervision of David Dunson. Prior to that, I obtained my Bachelor degree at Moscow Institute of Physics and Technology (MIPT) and did the second year of Master program at Grenoble Institute of Technology (Grenoble - INP, Ensimag).
Travel and Contact Information
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G1.07
Alan Turing Building
Manchester
