Rafid Mahmood
I am an Assistant Professor at the Telfer School of Management in the University of Ottawa. I am also a part-time Sr. Research Scientist at the NVIDIA Toronto AI Lab.
I am interested in the operational challenges behind the deployment and use of AI systems. I use deep learning and data-driven optimization for problems where the typical forms of large-scale data collection and model tuning are prohibitive. My work addresses ML technology (e.g., computer vision systems), healthcare (e.g., personalized medicine), and finance (e.g., portfolio optimization). I am also interested in general data science problems (e.g., sports analytics).
News
| Sep 14, 2022 | Our paper Optimizing Data Collection for Machine Learning was accepted at NeurIPS 2022. |
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| Mar 3, 2022 | Our paper How Much More Data Do I Need? Estimating Requirements For Downstream Tasks was accepted at CVPR 2022. |
| Jan 24, 2022 | Our paper Low Budget Active Learning via Wasserstein Distance: An Integer Programming Approach was accepted at ICLR 2022. |
| Oct 24, 2021 | I am chairing a virtual session VMB05: Optimization for Machine Learning at the INFORMS Annual Meeting 2021. |
| Sep 12, 2021 | Check out the pre-print of our review paper: Inverse optimization: Theory and applications. |