ΑΙhub.org
 

Sanmi Koyejo and Finale Doshi-Velez win Computing Research Association awards


by
08 June 2021



share this:
trophy

Congratulations to Sanmi Koyejo and Finale Doshi-Velez on receiving Computing Research Association (CRA) 2021 awards!

2021 Skip Ellis Early Career Award – Sanmi Koyejo

Sanmi KoyejoThis year’s award was presented to Sanmi Koyejo, University of Illinois, Urbana-Champaign. Sanmi’s work focusses on developing the principles and practice of trustworthy machine learning. This includes scalable, distributed, and robust machine learning, and metric elicitation; selecting more effective machine learning metrics via human interaction, primarily applied to ML fairness. His applied research includes applications to cognitive neuroimaging, healthcare, and biomedical imaging. Some recent work has concentrated on generative models for X-rays and fMRI, and risk-scoring and prediction models. You can see a list of recent publications here.

Honourable mention:
This year, the awards committee felt that recognition was warranted beyond the award winner, and Shiri Azenkot, Cornell University, received an honourable mention. Shiri works on AI-powered systems for access and equity, designing enabling systems that promote equity and improve quality of life for marginalized populations. At the moment, she is focussing on people with visual impairments.

Anita Borg Early Career Award – Finale Doshi-Velez

Finale Doshi-VelezThe winner of the 2021 Anita Borg Early Career Award is Finale Doshi-Velez, Harvard University. Finale heads the Data to Actionable Knowledge (DtAK) group, using probabilistic methods to address many decision-making scenarios, with a focus on applications related to healthcare. Her research covers three main areas: probabilistic modelling and inference (especially Bayesian models), decision-making under uncertainty (especially sequential decision-making), and interpretability and statistical methods for validation. You can find out more at her lab webpage. Her publications list can be found here.

About the awards

The Skip Ellis Early Career Award honours the late Clarence “Skip” Ellis, who was the first African-American to earn a PhD in computer science and the first African-American to be elected a Fellow of the American Computing Association (ACM).

The Anita Borg Early Career Award honours the late Anita Borg, who was an early member of Computing Research Association – Widening Participation (CRA-WP) and is inspired by her commitment to increasing the participation of women in computing research.




AIhub is dedicated to free high-quality information about AI.
AIhub is dedicated to free high-quality information about AI.




            AIhub is supported by:



Related posts :



Machine learning for atomic-scale simulations: balancing speed and physical laws

How much underlying physics can we safely “shortcut” without breaking a simulation?

Policy design for two-sided platforms with participation dynamics: Interview with Haruka Kiyohara

  09 Oct 2025
Studying the long-term impacts of decision-making algorithms on two-sided platforms such as e-commerce or music streaming apps.

The Machine Ethics podcast: What excites you about AI? Vol.2

This is a bonus episode looking back over answers to our question: What excites you about AI?

Interview with Janice Anta Zebaze: using AI to address energy supply challenges

  07 Oct 2025
Find out more about research combining renewable energy systems, tribology, and artificial intelligence.

How does AI affect how we learn? A cognitive psychologist explains why you learn when the work is hard

  06 Oct 2025
Early research is only beginning to scratch the surface of how AI technology will truly affect learning and cognition in the long run.

Interview with Zahra Ghorrati: developing frameworks for human activity recognition using wearable sensors

  03 Oct 2025
Find out more about research developing scalable and adaptive deep learning frameworks.

Diffusion beats autoregressive in data-constrained settings

  03 Oct 2025
How can we trade off more compute for less data?

Forthcoming machine learning and AI seminars: October 2025 edition

  02 Oct 2025
A list of free-to-attend AI-related seminars that are scheduled to take place between 3 October and 30 November 2025.



 

AIhub is supported by:






 












©2025.05 - Association for the Understanding of Artificial Intelligence