Natalia M. Sikora

Learning With Challenges | Understanding Through Data

Natalia_Sikora_Profile_Picture.jpg

Natalia Sikora

Based in:

London, UK

___________________________

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.”
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.