Nikola Zadorozhny
Email: available via linked profiles
I'm an AI researcher and Ph.D. student in Computer Science at Johns Hopkins University, working on deep learning and computational genomics.
My current research focuses on machine learning architectures for genomics and scientific machine learning in biology.
My previous work focused on generative models for protein design and structure prediction, and I am broadly interested in building novel ML architectures for challenging scientific problems.
News
Research Highlights
ProteinTTT Test-time training for protein models to improve fitness, structure, and function prediction on individual targets.
GeneToolBag A genomics-focused tool and research surface planned as a dedicated subdomain under zadorozhny.dev.
Awards and Recognitions
Mentorship highlight
Research Areas
Deep Learning for Computational Genomics Current work focuses on machine learning architectures for genomics and scientific ML problems in biology.
Protein Design and Structure Prediction Previous research centered on generative modeling approaches for protein design and structure prediction.
Novel ML Architectures Research direction centered on designing new model architectures for complex scientific research challenges.
Recent Projects
GeneToolBag A genomics-focused tool and research surface planned as a dedicated subdomain under zadorozhny.dev.
ProteinTTT A test-time training approach for customizing protein language models to individual targets without additional data.