Tomas Helikar

Tomas Helikar is a Professor in the Department of Biochemistry at the University of Nebraska-Lincoln, with a focus on computational biology and systems modeling. His work bridges biological complexity with educational innovation.

• Education: Not explicitly mentioned in the provided text.

Helikar’s research centers on computational systems biology, mechanistic modeling, and immunology. He develops digital twins of biological systems and contributes to multi-scale modeling frameworks. His recent publications highlight advancements in metabolic modeling, model interoperability, and AI-driven pharmacology.

The most recent articles emphasize SED-ML standards, immune digital twins, and computational education tools like Cell Collective. Keywords span Systems Biology, Immunology, Bioinformatics, and Education Technology, with sub-fields including Drug Discovery, Gene Regulatory Networks, and Active Learning.

No scientific awards are explicitly mentioned in the provided text.

Helikar has contributed to computational modeling curricula and systems thinking in education. He leads the Cell Collective platform for interactive learning and collaborates on logical modeling standards through initiatives like CoLoMoTo. His work also involves modeling CD4+ T cell dynamics and 3D printed molecular models for teaching.

Helikar’s lab focuses on mechanistic models of immune responses, metabolic networks, and educational technologies. Projects include COMO pipelines, SED-ML specifications, and digital twin blueprints for biomedical applications.