About Me šŸ‘€

I am a PhD student at Harvard under the mentorship of Dr. Flavio du Pin Calmon and Dr. Hima Lakkaraju and am supported by the NSF Graduate Student Research Fellowship.

I am broadly interested in fair, interpretable, and trustworthy machine learning, and my current projects apply information theoretic tools to problems in fairness and representation learning. Although I love digging into theory, I am an engineer by training and hope to use my research to design actionable solutions for society.

Outside of the lab, you can find me playing jazz guitar šŸŽø, volleyball šŸ (Iā€™m a middle blocker!), or playing board games with my friends.

Publications āœļø

Multi-Group Proportional Representation
A. Oesterling*, Claudio Mayrink Verdun*, Carol Xuan Long, Alexander Glynn, Lucas Monteiro Paes, Sajani Vithana, Martina Cardone, Flavio Du Pin Calmon
NeurIPS 2024

Operationalizing the Blueprint for an AI Bill of Rights: Recommendations for Practitioners, Researchers, and Policy Makers
A. Oesterling*, Usha Bhalla*, Suresh Venkatasubramanian, Hima Lakkaraju
Under Review.

Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE šŸŖ¢)
Usha Bhalla*, A. Oesterling*, Suraj Srinivas, Flavio Du Pin Calmon, Hima Lakkaraju
NeurIPS 2024

Fair Machine Unlearning: Mitigating Disparities during Data Deletion
A. Oesterling, Jiaqi Ma, Flavio Du Pin Calmon, Hima Lakkaraju
AISTATS 2024

Integrated single-cell multiomic analysis of HIV latency reversal reveals novel regulators of viral reactivation
Ashokkumar Manickam, Jackson J Peterson, Yuriko Harigaya, David M Murdoch, David M Margolis, A. Oesterling, Zhicheng Guo, Cynthia D Rudin, Yuchao Jiang, Edward P Browne
bioRxiv

Integrated single-cell multiomic profiling of HIV latency reversal
Ashokkumar Manickam, Jackson J Peterson, Wei Mei, David M Murdoch, David M Margolis, A. Oesterling, Zhicheng Guo, Cynthia D Rudin, Yuchao Jiang, Edward P Browne
Journal of Virus Eradication, 2022

Distributionally Robust Group Backwards Compatibility
Martin Bertran, Natalia Martinez, A. Oesterling, Guillermo Sapiro
NeurIPS DistShift Workshop, 2021

Multitask Learning for Citation Purpose Classification
A. Oesterling*, Angikar Ghosal*, Haoyang Yu*, Rui Xin*, Yasa Baig*, Lesia Semenova, Cynthia Rudin
NAACL 2nd Workshop on Scholarly Document Processing, 2021

Detecting Motion in a Room Using a Dynamic Metasurface Antenna
A. Oesterling, Mohammadreza F Imani, Oren S Mizrahi, Jonah N Gollub, David R Smith
IEEE Access, 2020