Maria Kiourlappou
I am DPhil student in the Davis lab, at the Department of Biochemistry of the University of Oxford. I am developing machine learning software (using supervised random forest algorithms) that automatically generates scientific hypotheses based on correlations between existing high quality data and genome-wide bioinformatics data. I belong to Linacre College and I am part of the Interdisciplinary Biology Doctoral Training Programme at Oxford. I am a very enthusiastic DPhil student and keen to learn. I come from Cyprus, where I grew up and lived before moving to UK. In my free time I enjoy running, baking and socialising.
Previous Career
Previously, I completed a BA in 2015 and MSci in 2016 in Experimental and Theoretical Physics at the University of Cambridge (Murray Edwards College). While there I worked in the Quantum Matter group of the Physics Department of the University of Cambridge as an intern for two summers. My work was on quantum materials and more specifically on Samarium Hexaboride, a material that is an insulator but displays simultaneous conduction-like properties under strong magnetic fields. After my graduation I worked in CoreFiling, a company providing financial reporting software and services. This is where my interest in machine learning software grew.
Publications
Thompson MK, Kiourlappou M, Davis I. Ribo-Pop: simple, cost-effective, and widely applicable ribosomal RNA depletion. RNA. 2020 Nov;26(11):1731-1742. doi: 10.1261/rna.076562.120. Epub 2020 Aug 5. PMID: 32759389; PMCID: PMC7566562.
Unconventional Fermi surface in an insulating state B. S. TAN, Y.-T. HSU, B. ZENG, M. CIOMAGA HATNEAN, N. HARRISON, Z. ZHU, M. HARTSTEIN, M. KIOURLAPPOU, A. SRIVASTAVA, M. D. JOHANNES, T. P. MURPHY, J.-H. PARK, L. BALICAS, G. G. LONZARICH, G. BALAKRISHNAN, SUCHITRA E. SEBASTIAN SCIENCE17 JUL 2015 : 287-290