Adam Farooq, PhD
Data Scientist
Assistant Professor in AI and CS
I’m an experienced Data Scientist with an extensive academic background in AI and Machine Learning. I have experience in both academia, and industry; where I have developed predictive models, and implemented machine learning solutions that enhance accuracy and efficiency, without loosing interpretability.
Research Interests
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Bayesian optimisation
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Machine Learning and its applications
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Deep Learning and its applications
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Bayesian nonparametric
Publications
Farooq, A., Raykov, Y.P., Raykov, P. and Little, M.A., 2024. Adaptive Latent Feature Sharing for Piecewise Linear Dimensionality Reduction. Journal of Machine Learning Research
Farooq, A., Raykov, Y.P., Raykov, P. and Little, M.A., 2020. Controlling for sparsity in sparse factor analysis models: adaptive latent feature sharing for piecewise linear dimensionality reduction. arXiv preprint arXiv:2006.12369
Farooq, A., Raykov, Y.P., Evers, L. and Little, M.A., 2019. Adaptive probabilistic principal component analysis. arXiv preprint arXiv:1905.11010
Iqbal, M., Baker, S.M., Farooq, A. and Rattray, M. Scaled Bernoulli Mixture Model for Clustering of Single-cell ATAC-seq Data