You can view my full CV Here.
Bio:
Kianté Brantley is an Assistant Professor at the Kempner Institute and the School of Engineering and Applied Sciences (SEAS) at Harvard University. He completed his Ph.D. in Computer Science at the University of Maryland, College Park, under the supervision of Dr. Hal Daumé III. After graduating, he completed postdoctoral studies at Cornell University, working with Thorsten Joachims. His research focuses on problems at the intersection of machine learning and interactive decision-making, with the goal of improving the decision-making capabilities of foundation models. He has received several awards with his colleagues, including spotlight talks at ICLR 2023 and ICLR 2019. He is a recipient of the NSF LSAMP BD Fellowship, the ACM SIGHPC Computational and Data Science Fellowship, the Microsoft Dissertation Research Grant, the Ann G. Wylie Dissertation Fellowship, and the NSF CIFellow Postdoctoral Fellowship. In his spare time, he enjoys playing sports; his favorite sport at the moment is powerlifting.
Representative Publications:
Peng, Nianli and Gordon, Geoffrey J. and Brantley, Kianté
Preprint, 2026
Gao, Zhaolin and Chang, Jonathan D and Zhan, Wenhao and Oertell, Owen and Swamy, Gokul and Brantley, Kianté and Joachims, Thorsten and Bagnell, J Andrew and Lee, Jason D and Sun, Wen
Advances in Neural Information Processing Systems (NeurIPS), 2024
Tucker, Aaron David and Brantley, Kianté and Cahall, Adam and Joachims, Thorsten
Proceedings of the International Conference on Machine Learning (ICML), 2024
Brantley, Kianté and Sun, Wen and Henaff, Mikael
The International Conference on Learning Representations (ICLR), 2019
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