I am a Ph.D. student at the AI Lab at Brown University, advised by Professor Carsten Eickhoff and Professor Ritambhara Singh. I am also an ACM SIGHPC Fellow. I am currently interested in applying information retrieval and natural language processing to improve learning and evidence-based modeling in various domains, including healthcare.

Prior to my graduate studies at Brown, I obtained a Master’s degree in computer science from the University of Cape Town, South Africa (UCT). At UCT, I worked with Professor Geoff Nitschke on applying evolutionary algorithms to optimize machine learning for predictive analysis.

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You can contact me at tassallah_abdullahi@brown.edu

CV, Google Scholar, LinkedIn, Twitter

Journal Articles

Learning to Make Rare and Complex Diagnoses With Generative AI Assistance: Qualitative Study of Popular Large Language Models
Abdullahi, T., Singh, R., and Eickhoff, C.
JMIR Edu. (2024)

Retrieval Based Diagnostic Decision Support
Abdullahi, T., Mercurio L., Singh, R., and Eickhoff, C.
Under Review at JMIR. (2024)

Predicting Diarrhoea Outbreaks with Climate Change
Abdullahi, T., Nitschke, G., and Sweijd, N.
PLoS ONE. (2022)

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Conference Proceedings

Predicting Disease Outbreaks with Climate Data
Abdullahi, T., and Nitschke, G.
In Proceedings of the IEEE Congress on Evolutionary Computation (IEEE CEC 2021), Kraków, Poland

Disease Outbreaks: Tuning Predictive Machine Learning
Abdullahi, T., and Nitschke. G.
In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2021), ACM, Lille, France

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Last Updated on 02/18/2024 by Tassallah Abdullahi