Samson Koelle

Samson Koelle is a specialist in the field of interpretable machine learning. He received his Doctor of Philosophy (Ph.D.) degree in Statistics from the University of Washington after completing his undergraduate studies in Mathematics (CC) at Columbia University. His research interests lie in developing algorithms for interpretable machine learning that contribute to advancements in neuroscience and other fields.

During his academic career, Samson Koelle has held numerous research positions, including Research Assistant at Allen Institute for Brain Science, IGERT Fellow at University of Washington, Research Intern at Amazon, and Research Assistant at Fred Hutch. He has also held positions as an IRTA at National Institutes of Health and Summer Student Assistant at University of Washington. Samson Koelle's research has been published in various journals and conferences, including the International Conference on Machine Learning, the Neural Information Processing Systems conference, and more.

In his spare time, he enjoys outdoor activities, such as hiking and rock climbing. He also enjoys cooking and trying out new recipes.