Responsible DS + AI Speaker Series: Aisha Walcott-Bryant, IBM Research Africa

Aisha Walcott-Bryant

Aisha Walcott-Bryant, research manager at IBM Research, will present "AI's Potential to Transform Global Health."

Selected Publication (the talk will focus on 1 and mention 2 and 3):
•    Bent, O. E., Wachira, C., Remy, S. L., Ogallo, W., & Walcott-Bryant, A. (2021). A Framework for Inferring Epidemiological Model Parameters using Bayesian Nonparametrics. In AMIA Annual Symposium Proceedings (Vol. 2021, p. 217). American Medical Informatics Association.
•    Suryanarayanan, P., Tsou, C. H., Poddar, A., Mahajan, D., Dandala, B., Madan, P., ... & Rosen-Zvi, M. (2021). AI-assisted tracking of worldwide non-pharmaceutical interventions for COVID-19. Scientific data, 8(1), 1-14.
•    Bent, O., Remy, S., Roberts, S., & Walcott-Bryant, A. (2018). Novel exploration techniques (NETs) for malaria policy interventions. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 32, No. 1).

Dr. Aisha Walcott-Bryant is a Senior Technical Staff Member (STSM) and Research Manager at IBM Research - Nairobi, Kenya. She leads a team of incredible research scientists and engineers that use AI, Cloud, and other technologies to accelerate discoveries in Health Care and Life Sciences and Climate, while advancing the state-of-the art in core Hybrid Cloud and Edge technologies. She has a strong interest in developing AI tools for Global Health (see recent work on COVID-19 interventions), and working across sectors to create innovative, sustainable AI solutions that transform emerging economies. Aisha also lead the Mobility team that developed Edge and AI tools to understand the infrastructural and behavioral variables that cause traffic congestion in developing cities. She is the program co-chair for the International Conference on Robotics and Automation (ICRA'22). Aisha earned her PhD in the Electrical Engineering and Computer Science Department at MIT in robotics, as a member of the Computer Science and Artificial Intelligence Lab (CSAIL). 

Questions? Contact Janet Eke or Kanyao Han

The Responsible Data Science and AI Speaker Series discusses topics such as equity, fairness, biases, ethics, and privacy. The presentations and discussions take place on Fridays, 9-10 am Central Time, on Zoom. This series is organized by Associate Professor Jana Diesner and supported by the Center for Informatics Research in Science and Scholarship (CIRSS) and the School of Information Sciences at the University of Illinois Urbana-Champaign.

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This event is sponsored by Center for Informatics Research in Science and Scholarship