Laurynas Pliuskys

Personal photo - Laurynas Pliuskys

Rex Richards Building, South Parks Road, Oxford OX1 3QU


Throughout my studies, I have been constantly engaged in interdisciplinary research. As a consequence, I have become proficient in biomedical research, as well as programming and statistical analysis. I enjoy tackling complex problems by using high-throughput analysis and recently I became fascinated by predictive analytics. My recent work predicting forex trends using statistical algorithms usually used to facilitate biomarker discovery is just one example of this.

From a young age I have been drawn to research commercialisation, and in turn I developed an interest in entrepreneurship. I am currently working on my second start-up - an experience that has given me invaluable skills in presenting my ideas, time management, networking, and most importantly - transforming an idea into reality. I also learnt a great deal about corporate strategy and innovation during a programme where selected students spent one year working alongside Oxford MBA students on projects and assignments.

Despite my strong focus on research and entrepreneurship, I am also continuously involved in human rights activism. When I was a teenager I contributed to the Lithuanian LGBT community by establishing an online 'safe space' for youngsters, followed by the co-founding of a youth Human Rights NGO. After this, I moved on to training current and the future generation of human rights activists at the Council of Europe through various international organisations.

To sum up, I am a highly-motivated individual with a varied set of skills and a profound understanding of scientific, economic and social processes. I am graduating from my DPhil programme this year and so I am actively looking for the next challenge and opportunity which will allow me to develop my interests and skills further.


Currently I am in the final year of my DPhil which I am undertaking in Professor Udo Oppermann's group. My research focuses on the epigenetic regulation of inflammation, specifically the induction and the shift from a pro- to an anti-inflammatory state in macrophages. The latter processes are highly important in various auto-immune diseases such as Parkinson's or arthritis, to name a few.

My research methods mainly rely on high-throughput techniques such as single-cell analysis, next generation sequencing of the transcriptome and ChIP libraries. I am also engaged in computational work, such as image analysis using R, or high-throughput sequencing data analysis using a number of various pipelines for ChIP-Seq and RNA-Seq.

Furthermore, I am involved in curating a comprehensive list of epigenetic targets, designing the experimental setup and screening of inhibitor libraries, based on the Locked Nucleic Acid (LNA) technology, targeting those epigenetic modulators. I also contribute to the elucidation of the epigenetic and transcriptomic changes that take place upon treatment with other top-candidate epigenetic drugs.

In the future I am looking forward to employing my skills in programming and data analysis to tackle other challenging data sets, and hopefully shifting from the laboratory to mainly, but not exclusively, computational work.



coming soon...

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