Here is some stuff I’m currently reading and inspired by. I love reading about the state-of-the-art machine learning methods, but am lately very inspired by bias and fairness of ML algorithms. I am also lately inspired by the network-based data analysis techniques in immunology.
- A roadmap towards personalized immunology
- Systems Immunology: Just Getting Started
- Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
- Data-Driven Phenotypic Dissection of AML Reveals Progenitor Like Cells That Correlate With Prognosis
- Learning Role Based Graph Embeddings
- An Immune Clock of Human Pregnancy