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Nada Jankovicova

I have withdrawn for personal reasons after completing one year of PhD, and went on to work in data science and data engineering in Slovakia as well as teaching coding at a non-profit organization.


I am a first year PhD student at the Complexity Centre. My work is aimed at developing methodologies for patient stratification from Electronic Health Record data with focus on probabilistic modelling and machine learning. My supervisors are Dr. Christopher Yau from Birmingham University and Dr. Richard Savage from University of Warwick. My work is funded by EPSRC.

MSc year:

Previously, at the MSc stage of the MathSys programme, I have undertaken core modules in Networks and Random Processes, Data Analysis, Applied Dynamical Systems and Numerical methods, followed by optional modules in Computational Biology, Data Mining and Computational Methods for Complexity. As a group project, I was part of a team on financial modelling together with Kutlwano L. Bashe, Trystan Leng, Chris Norman and Bhavan Kaur Chahal. As an individual project, I was working on interpretable machine learning in biomedical data with my current supervisors.

During the MSc year, I have also participated in other events, such as the Pistoia Alliance Hackathon 2017 in March, where our team has worked on the Elsevier&Findacure challenge of looking into ways of finding a drug to a rare disease using big data: https://www.elsevier.com/connect/data-challenge-how-one-team-hacked-a-data-dump-to-yield-hope-for-a-rare-disease?sf125090354=1 In May, I have volunteered at the PyData 2017 conference where I learned about current trends in data science. In June, together with the Machine Learning Reading Group members, we have helped designing tutorials for the Introduction to Machine Learning Summer School held at the Complexity Centre. In August, I was introduced to the topics of 'omics sciences when I attended the Research MIMOmics Summer School 2017 in Cambridge thanks to Complexity Centre support. In September I participated in the Health&Well-being Data Study Group at the Alan Turing Institute where I worked on the NHS Scotland challenge: https://www.turing.ac.uk/media/blog/unlocking-challenges-health-well-via-data-science-solutions/

Before MathSys:

Prior to coming to Warwick, I have completed BSc. Mathematics with Statistics at Royal Holloway University of London (2013-2016) with first class honors. There, I also took modules focused on cryptography, information theory and games programming and received the Passport Gold Award for extracurricular achievements. My interest in complexity studies was strengthened by the Introduction to Complex Systems Summer School at Utrecht University, which I attended in August 2015.

Hobbies:

In my free time, I like to do sports, spend time in nature and watch movies. I also like learning new languages. I am part of the Complexity Newsletter editorial team.

Contacts:

[first name initial] dot [surname] at [warwick] dot [ac] dot [uk]

[first name] dot [surname] at [gmail] dot [com]