Hi! I'm Natalia Sikora, I'm a PhD Candidate (defended, working on corrections) and a postdoctoral fellow specialising in bioinformatics, AI in medical applications, xAI, and multimodal data integration. As a hobby, I enjoy playing with finance data (hello there, fellow investors!), data analytics, and visualisations.

🌸 Perturbing LSD1 and WNT rewires transcription to synergistically induce AML differentiation
Hosseini, A., Dhall, A., Ikonen, N., Sikora, N. et al. Nature, 2025
→ Demonstrates how combinatorial targeting of LSD1 and WNT signaling drives transcriptional reprogramming and differentiation in AML.

🌸 ColonScopeX: Leveraging Explainable Expert Systems with Multimodal Data for Improved Early Diagnosis of Colorectal Cancer
Sikora, N., Manschke, R.L., Tang, A.M., Dunstan, P., Harris, D.A., Yang, S. AAAI-25 B1
→ Introduces an explainable multimodal AI framework integrating blood biomarkers and patient metadata to aid early colorectal cancer and polyp detection.

🌸 Measuring Fairness in Financial Transaction Machine Learning Models
Ayvaz, D.S., Belenguer, L., He, H., Kanubala, D.D., Li, M., Low, S., Mougan, C., Onwuegbuche, F.C., Pi, Y., Sikora, N., Tran, D., Verma, S., Wang, H., Xie, S., Pelletier, A. arXiv preprint, 2025
→ A Mastercard and Alan Turing Institute collaboration tackling fairness evaluation in financial ML models through explainable and responsible AI practices.