Biography
I am a PhD candidate at the Computer Science Department of Rice University. My research interests include applied artificial intelligence and machine learning in the context of structural computational biology, drug design and immunoinformatics. I am passionate about interdisciplinary research, mentoring students and developing open source software for the research community.
Interests
- Artificial Intelligence
- Computational Biology
- Unsupervised Learning
- Proteomics
Education
PhD in Computer Science, 2024 (expected graduation date in August)
Rice University
BSc in Electrical Engineering and Computer Technology, 2019
University of Belgrade
Recent Publications
(2024).
HLAEquity: Examining biases in pan-allele peptide-HLA binding predictors.
iScience.
(2023).
EnGens: a computational framework for generation and analysis of representative protein conformational ensembles.
Briefings in Bioinformatics.
(2022).
SARS-Arena: Sequence and Structure-Guided Selection of Conserved Peptides from SARS-related Coronaviruses for Novel Vaccine Development.
Frontiers in Immunology.
(2022).
3pHLA-score improves structure-based peptide-HLA binding affinity prediction.
Scientific Reports.
(2020).
Machine Learning-Guided Three-Dimensional Printing of Tissue Engineering Scaffolds.
Tissue Engineering Part A.
Projects
A machine learning structure-based protocol for predicting binding affinity of peptides to HLA receptors.
Awards
Recent fellowships and awards.