About the Laboratory
Welcome to the AIC Lab. We create cutting-edge deep learning technologies for biomolecular medical data analysis to be used in life sciences and biomedical applications. We are an international, English-speaking, multidisciplinary group with a background in computer science, math, and molecular biology.
Join the English-speaking AIC Lab and gain hands on experience with high-performance computing technologies, statistical testing methods, and deep learning methods applied on interesting real-life applications. Research projects are available at any levels (BSC, MSc, PhD, Post-doc, summer practice, and summer internships).
.jpg "Seminar \"Statistics in Tandem Mass Spectrometry Data Analysis\"")
Researchers Discover How to Obtain ‘Ideal’ 3D Cell Cultures for Cancer Research
A group of scientists from Hungary, Russia and Finland have developed a system capable of selecting cancer cells of a specific shape and size—spheroids. SpheroidPicker, the first AI device of its kind, enables a more standardized approach to working with tumour samples. The results of the research have been published in the journal Scientific Reports. One of researchers who worked on the project is Nikita Moshkov, Junior Research Fellow of the Laboratory on AI for Computational Biology.
_%D0%BD.jpg "Congratulations to the Head of Laboratory on AI for Computational Biology Kertesz-Farkas Attila on receiving the well-deserved award")
'The Efforts Taken by HSE University to Make My Internship Format Online Are Laudable'
John Hopkins graduate Kayode Ahmed is interning at the Faculty. We talked to him about his career path, internship project, and hobbies.
Attila Kertesz-Farkas about New Lab and Research
Laboratory on AI for Computational Biology has opened at the Faculty not so long ago. We talked with its head, Attila Kertesz-Farkas, about the lab, research and his way in science.