Erik Hartman

I’m a PhD student in computational biology at Lund University, currently a visiting research scholar in César de la Fuente’s Machine Biology Group at the University of Pennsylvania.

My current work focuses on encrypted peptide discovery, particularly antimicrobial peptides, and computational methods for protein and peptide design.

Erik Hartman

Research

I study how proteins give rise to bioactive peptides, and build computational methods to discover and design them.

Encrypted peptides

I investigate bioactive peptides released through protein degradation, particularly antimicrobial peptides and their role in host defense.

A folded protein is cleaved into peptide fragments, with one candidate fragment outlined.
Protein cleavage and candidate peptide discovery. Schematic.

Protein and peptide design

I develop methods for protein and peptide design using machine learning, Bayesian optimization, and biological information.

Candidate sequences are evaluated by a computational model, ranked, and used to guide the next design round.
An iterative approach to sequence design. Schematic.

Protein degradation

I use peptidomics, graph models, and interpretable machine learning to study protein degradation and molecular changes during infection.

A directed graph traces sequential cleavage from longer peptides to shorter fragments.
Representing peptide degradation as a graph. Schematic.

Selected publications

All publications

Software

GitHub