CV

Education


Research experience


Graph ML Project, Networks & Society Group, MLRG, Oxford University (Aug 2022 - Present)

Zero Shot Coordination Project, Foerster Lab for AI Research, Oxford University (Apr 2022 – Present)

HumBug Project, Machine Learning Research Group, Oxford University (Jun 2020 – Present)

Final Year Undergraduate Project, Bayesian Exploration Lab, Oxford University (Sep 2020 – June 2021)

Work experience


Intern, QinetiQ (Jul-Sep 2018, Jun-Sep 2019)

Extracurriculars


ML Project Leader, Engineers Without Borders Oxford (Sep 2020 – Jun 2021)

STEP UP Ambassador, *New College Oxford Access & Outreach Dept. (Nov 2017 – Jun 2020)

Skills


Publications


HumBugDB: A Large-scale Acoustic Mosquito Dataset (2021)

Accepted at the 35th Conference on Neural Information Processing Systems (NeurIPS 2021) Track on Datasets and Benchmarks.

Kiskin, I., Sinka, M., Cobb, A.D., Rafique, W., Wang, L., Zilli, D., Gutteridge, B., Dam, R., Marinos, T., Li, Y. and Msaky, D., 2021. HumBugDB: A Large-scale Acoustic Mosquito Dataset. arXiv preprint arXiv:2110.07607.

HumBug–An Acoustic Mosquito Monitoring Tool for use on budget smartphones (2020)

Published in Methods in Ecology and Evolution, 12(10), pp.1848-1859.

Sinka, M.E., Zilli, D., Li, Y., Kiskin, I., Kirkham, D., Rafique, W., Wang, L., Chan, H., Gutteridge, B., Herreros‐Moya, E. and Portwood, H., 2021. HumBug–An Acoustic Mosquito Monitoring Tool for use on budget smartphones. Methods in Ecology and Evolution, 12(10), pp.1848-1859.