Welcome to Kristina's GitHub Page! 👋

My name is Kristina Ulicna & I'm a Bioscience PhD student at the University College London 🇬🇧 at the LIDo Doctoral Programme, the largest BBSRC-funded Doctoral Training Partnership in the UK.

Short intro

I'm a biomedical scientist turned computational biologist. After obtaining my BSc degree in Biomedical Science @ King's College London, I started my PhD training with the London Interdisciplinary Doctoral (LIDo) Programme @ University College London (UCL). I'm split between the CellX group teams lead by Drs Alan Lowe (The Alan Turing Institute 'AI for Science' Fellow, UCL) & Guillaume Charras (London Centre for Nanotechnology, UCL).

If you are a non-scientist interested in what I do, before you get overwhelmed by the scientific jargon & terminology, check out my recent #DeepTree🌳 thread on Twitter for an easy-to-digest breakdown of my research for lay audience!

I'm a published scientist!

I am currently a penultimate (3^rd) year PhD student interested in deep learning-based prediction of cell cycle duration in non-/cancer cell populations. I'm a trained cancer biologist (with a 1st class Biomedical Science degree from King's College London) who fell in love with big #DataScience, #DeepLearning & #Computational #SingleCell #Tracking to understand individual cells' decisions. I'm a practical & detail-oriented researcher with a unique combination of wet-lab & dry-lab skills which I gained through various internship experience in both academia & industry.

I'm currently in search for 3-month industrial PhD internship in the upcoming months, so if my work sparked some interest in you, do not hesitate to get in touch! Don't forget to check this link to view my project poster summarising the key results of my research, this link to read our recently published work, or scroll below to see how to cite our preprint properly!

What keeps me busy these days?

📄 I’m currently advertising my recently published bioRxiv pre-print;
👨🏽‍💻 I’m working towards my PhD thesis research project;
🌱 I’m learning about Variational AutoEncoders (VAEs) & Attention models;
👯 I’m looking to collaborate on bioscience research ideas 🤝
💼 I'm always looking for interesting technical roles & internships;
🤔 I’m thinking about cells & their heritable patterns across generations;
💬 Ask me about anything -> I am happy to help;
📫 How to reach me: check the banners on top of this page!

Languages & Tools:

How to reach me & Getting in touch:

If you're interested in more details about:

My professional background & research experience, have a look at my CV 📄 or choose to click on the links below 👇
My scientific achievements & publications, visit my DeepTree repository to discover the beauty of our recent publication
My PhD thesis & research interests, click on my CellComp repository where I explain the aims, methodology & key results of my doctoral thesis project

Citation

More details about my recent publication focussed on single-cell tracking approach from time-lapse microscopy data can be found in my DeepTree repository or in the following publication:

Automated deep lineage tree analysis using a Bayesian single cell tracking approach
Ulicna K, Vallardi G, Charras G and Lowe AR.
bioRxiv (2020)
https://www.biorxiv.org/content/early/2020/09/10/2020.09.10.276980

@article {Ulicna2020.09.10.276980,
  author = {Ulicna, Kristina and Vallardi, Giulia and Charras, Guillaume and Lowe, Alan R.},
  title = {Automated deep lineage tree analysis using a Bayesian single cell tracking approach},
  elocation-id = {2020.09.10.276980},
  year = {2020},
  doi = {10.1101/2020.09.10.276980},
  publisher = {Cold Spring Harbor Laboratory},
  URL = {https://www.biorxiv.org/content/early/2020/09/10/2020.09.10.276980},
  eprint = {https://www.biorxiv.org/content/early/2020/09/10/2020.09.10.276980.full.pdf},
  journal = {bioRxiv}
}

michelgokan / KristinaUlicna