PhD student at Brown University
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 a ACM SIGHPC Fellow. I am interested in applying information retrieval and natural language processing to improve learning, factuality, and evidence-based modeling in various domains, including healthcare. I am also passionate about evaluating the performance and robustness of NLP models, including their impact on healthcare accessibility and efficacy in low- and middle-income communities.
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.
You can contact me at tassallah_abdullahi@brown.edu
CV, Google Scholar, LinkedIn, Twitter
Retrieval Based Diagnostic Decision Support: A Mixed Methods Study
Abdullahi, T., Mercurio L., Singh, R., and Eickhoff, C.
JMIR Med Informatics. (2024)
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)
Predicting Diarrhoea Outbreaks with Climate Change
Abdullahi, T., Nitschke, G., and Sweijd, N.
PLoS ONE. (2022)
Afrispeech-Dialog: A Benchmark Dataset for Spontaneous English Conversations in Healthcare and Beyond
Mardhiyyah Sanni, Abdullahi, T. et al.
Under Review at NAACL. (2024)
Diagnostic Accuracy of ChatGPT4.0 for TIA or Stroke Using Patient Symptoms and Demographic Data.
Khatri, I., Abdullahi, T. et al.
DEX24 Conference, (2024)
AfriMed-QA: Towards A Pan-African, Multi-Specialty, Medical Question-Answering Benchmark Dataset
Olatunji, T., Charles, N., Owodunni, A., Yuehgoh F., Abdullahi, T., et al.
Under Review at ACL ARR. (2024)
Retrieval Augmented Zero-Shot Text Classification
Abdullahi, T., Singh, R., and Eickhoff, C.
ACM SIGIR ICTIR. (2024)
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
Last Updated on 06/10/2024 by Tassallah Abdullahi