Natalia M. Sikora
Learning With Challenges | Understanding Through Data
Natalia Sikora
Based in:
London, UK
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Office location:
606 Vivian Tower,
Department of Physics, Singleton Campus,
Swansea, South Wales
Hi! I’m Natalia M. Sikora, an EPSRC Postdoctoral Fellow in AI, a freelance ML / data scientist, and a PhD candidate in the Department of Physics (thesis defended, working on corrections). I recently finished my PhD project as a member of an AIMLAC programme (Artificial Intelligence, Machine Learning and Advanced Computing), focusing on cancer research. During the past few years, I specialised in multimodal data fusion methods, Explainable artificial intelligence (XAI), multiomics, signal preprocessing approaches, statistics, and bioinformatics.
I graduated from a University of Nottingham in 2020, with a BSc Hons in Biochemistry. Both, my PhD and my undergraduate degree provide me with a unique skillset, with a deep understanding of computational biology and AI applications in medicine.
During my PhD, I have published in Nature (co-author, bioinformatics), EurIPS-25 (first-author, graph-transformer paper), AAAI-25 B1 (first-author, multimodal data fusion, XAI, DL, clinical expert system), among others. I am currently in the process of publishing 7 additional research papers.
I have a proven track record of working across all stages of the ML pipeline, including data collection, quality control, preprocessing, modelling, and reporting. Furthermore, I enjoy doing research, data analytics, and exploring applications of AI in society. To date, I had the honour of contributing to multiple charity projects delivering data-driven insights for social impact. I am experienced in project management (agile methodologies like scrum, kanban, teams up to 12 - 14 people), data modelling, and data engineering. In my work, I focus on creating a welcoming, honest, collaborative atmosphere and I bring a positive, team-oriented approach to fast-paced environments.
In my free time, you can find me hiking with my dog, hitting the gym, painting, horse riding, doing yoga, modelling the stock market —-> trading stocks and practising krav maga.
This website is where you can find my blog posts, learn about my research, publications, various projects I participated in, and a selection of my art/photography!
news
| Mar 08, 2026 | Women’s Day! We published a paper on ovarian cancer, in Molecular Cancer Therapeutics: “Distinct H3K27 methylation states drive cellular responses to the histone demethylase inhibitor GSK-J4 in ovarian cancer cells.” |
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| Feb 28, 2026 | My team won a European-wide Hackathon - “Berlin Bio x AI hackathon”. We won both prices: 1. Overall winner — Best approach among all tracks. and 2. the 1st place — Genome modeling & synthesis track. Challenges were proposed by Serova, Google Deepmind, and Adaptyv. |
| Jan 28, 2026 | Presented my research at The Festival of Genomics & Biodata 2026 in London. |
| Dec 02, 2025 | Participated in EurIPS 2025 in Copenhagen and presented two research posters. |
| Nov 09, 2025 | A Judge at Hack-Nation’s Global AI Hackathon in collaboration with MIT Sloan Club. |
| Oct 31, 2025 | First author paper accepted to EurIPS-25 workshop. |
| Oct 28, 2025 | Defended my Doctoral Thesis (Dr Sikora —-> soon) |
| Oct 05, 2025 | Awarded an EPSRC Postdoctoral Pathway Fellowship (formerly the EPSRC Doctoral Prize Fellowship) |
| Sep 04, 2025 | Participated as a panelist in the 34th Economic Forum EU session on AI in Medicine. |
| Aug 10, 2025 | A Judge at Oxford’s Hack-Nation’s Global AI Hackathon co-organised with MIT Sloan AI Club. |
| Jun 26, 2025 | Recipient of the “Top 20 Young Professionals of Polish Descent” award from the Polish Leaders’ Foundation, presented at the Royal Castle in Warsaw. |
| Jun 24, 2025 | Presented a main stage talk in the AI in Health and Algorithms track at a conference in Bristol. (Conference: Artificial Intelligence, Machine Learning and Advanced Computing. Interactive Artificial Intelligence, Practice-Oriented Artificial Intelligence |
| Apr 16, 2025 | Published a paper in Nature (co-author, bioinformatics). This work was part of a collaborative project that identified a novel experimental treatment strategy for acute myeloid leukaemia (AML). |
| May 24, 2024 | Participated in the DSG at The Alan Turing Institute in London. Contributed to the Mastercard–Turing report “Measuring Fairness in Financial Transaction Machine Learning Models. |
| Jun 08, 2023 | Presented a main-stage talk at the AI Conference at the Bay Campus, Computational Foundry. Talk title: “Multi-objective de novo drug design for difficult drug targets: A solution for paediatric brain tumours?” |
| Mar 02, 2022 | IAIFI and AIMLAC workshop in Boston, MIT. Gave a talk. |