- +36 30 656 9635
I am a PhD student at Eötvös Loránd University in Budapest also working in the Korcsmaros group since my bachelor studies. I have been mainly involved in the group on the computational side with the development of group resources such as SignaLink and Autophagy Regulatory Network. I have also been involved in many projects of the group and with my PhD starting from September, I aim to learn further bioinformatics and machine learning techniques that can be applied in biological research.
I finished my BSc in Biology and MSc in Bioinformatics at the Eötvös Loránd University with both of my theses focusing on autophagy regulation. In my PhD project I will focus on investigating tissue specificity of autophagy regulation in the gut, focusing on its effect on cell-cell interactions. Combined with clinical data and machine learning techniques I aim to investigate the genetic profiles of IBD patients to potentially develop personalized therapeutic strategies.
Next to my interest in science I am also an avid baker and love to explore new places around the world.
ULK1 and ULK2 are less redundant than previously thought: computational analysis uncovers distinct regulation and functions of these autophagy induction proteins
Amanda Demeter, Mari Carmen Romero-Mulero, Luca Csabai, Márton Ölbei, Padhmanand Sudhakar, Wilfried Haerty & Tamás Korcsmáros
Sherlock: an open-source data platform to store, analyze and integrate Big Data for biology [version 1; peer review: 2 approved with reservations]
Balázs Bohár, David Fazekas, Matthew Madgwick, Luca Csabai, Marton Olbei, Tamás Korcsmáros, Mate Szalay-Beko