Research
Currently, I am interested in a variety of Computer Vision related research and a have been recently exploring topics related to localization and pose-estimation. My previous time with the Griffith lab also led to a contributing to a couple publications.
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PRUE: A Practical Recipe for Field Boundary Segmentation at Scale
Muhawenayo G, Robinson C, Khanal S, Fang Z, Corley I, Wollam A, Gao T, Strnad L, Avery R, Estes L, Tárano AM, Jacobs N, Kerner H.
To appear in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026
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Towards Unconstrained Cross-View Pose Estimation
Wollam, A, Ashley, K, Shugaev, M, Arend, O, Semenov, I, Dashtestani, H, Ravi, S, Jacobs, N.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026
website
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pVACtools: A Computational Toolkit to Identify and Visualize Cancer Neoantigens
Hundal J, Kiwala S, McMichael J, Miller CA, Xia H, Wollam AT, Liu CJ, Zhao S, Feng YY, Graubert AP, Wollam AZ, Neichin J, Neveau M, Walker J, Gillanders WE, Mardis ER, Griffith OL, Griffith M.
Cancer Immunology Research, 2020
website
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DGIdb 3.0: a redesign and expansion of the drug–gene interaction database
Cotto KC, Wagner AH, Feng Y, Kiwala S, Coffman AC, Spies G, Wollam A, Spies NC, Griffith OL, Griffith M.
Nucleic Acids Research, 2018
website
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