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people

People

Current group members, senior scientists, and close collaborators.

Principal investigator

Arne Elofsson

Arne Elofsson

Professor of Bioinformatics

Professor at the Department of Biochemistry and Biophysics, Stockholm University, affiliated with SciLifeLab, the Stockholm Bioinformatics Center, the Center for Biomembrane Research, and SeRC.

Merits: Co-head of DBB, Member of Royal Swedish Academy of Sciences

Email: arne@bioinfo.se

Profile CV Scholar ORCID GitHub GitLab

Current team

Samuel Flores

Samuel Flores

Associate professor

Molecular modelling and RNA structure prediction

Alternative affiliation: SLU, Uppsala, Sweden

Merits: Docent in Bioinformatics, Uppsala University

Email: samuel.flores@slu.se

Profile Scholar Publications

Masters students

Ursa Zevnik

Protein design

2026

Elva Walliman

Protein interactions

2026

Andrea Salinetti

Explainable AI for RNA structure prediction

2026

Mirza Muhammad Hasan Ali

Detection of drug pockets in AlphaFold models

2026

Stefan Tarnauceanu

Protein structure prediction with deep learning

2026

Collaborators and extended network

Alumni

Former students and postdocs now in faculty positions

Björn Wallner

PhD student

Professor at Linköping University (LiU)

Chinmay Dwibedi

MSc student

Tenure-track assistant professor at Umeå University (UmU)

Erik Lindahl

Postdoc

Professor at KTH / SU / LiU

Lukas Käll

Postdoc

Professor at KTH

Patrick Bryant

PhD student

Tenure-track assistant professor at Stockholm University (SU)

Per Larsson

PhD student

Tenured associate professor (docent) at UU

Sikander Hayat

Postdoc

Tenure-track assistant professor at Mount Sinai, NY

Arjun Ray

MSc student

Professor at IIT Delhi

Samueal Coulborn Flores

Senior scientist

SLU, Uppsala, Sweden

Supervised PhD students

2005 Björn Wallner Protein structure prediction: Model Building and Quality Assessment
2006 Tomas Ohlson The use of evolutionary information in protein alignments and homology identification
2006 Sara Light Investigations into the evolution of biological networks
2007 Erik Granseth Structure, prediction, evolution and genome wide studies of membrane proteins
2007 Håkan Viklund The structural grammar of transmembrane proteins
2008 Andreas Bernsel Sequence-based predictions of membrane-protein topology, homology and insertion (Co-supervised)
2008 Diana Ekman Domain rearrangement and creation in protein evolution
2008 Olivia Eriksson Simplicity within Complexity — Understanding dynamics of cellular networks by model reduction
2010 Kristoffer Illergård On the effects of structure and function on protein evolution
2010 Åsa Björklund Creation of new proteins — domain rearrangements and tandem duplications
2010 Per Larsson Prediction, modeling and refinement of protein structures (Co-supervised)
2010 Linnea Hedin Intra and intermolecular interactions in proteins
2011 Aron Hennerdal Membrane protein predictions
2013 Rauan Sagit Variation in length of proteins by repeats and disorder regions
2013 Marcin Skwark Ensemble methods for protein structure prediction
2014 Minttu Virkki Marginally hydrophobic alpha-helices shaping membrane protein folding
2016 Christoph Peters Computational methods for topology prediction
2017 Karolis Uziela Protein Model Quality Assessment, A Machine Learning Approach
2017 Konstantinos Tsigiros Bioinformatics studies for topology prediction of membrane proteins
2017 Mirco Michel From Sequence to Structure: Using predicted residue contacts to facilitate template-free protein structure prediction
2018 Walter Basile Orphan Genes Bioinformatics: Identification and properties of de novo created genes
2019 David Menendez Hurtado Structured Learning for Structural Bioinformatics
2019 Marco Salvatore Predicting the route: from protein sequence to sorting in eukaryotic cell
2021 John Lamb Protein structure prediction
2022 Saman Hosseini Ashtiani Omics Data Analysis of Complex Diseases and Traits
2022 Patrick Bryant Learning Protein Evolution and Structure
2023 Wensi Zhu Decipher protein complex structures from sequence
2023 Gabriele Pozzati Deep learning solutions to protein quaternary structure
2024 Aditi Shenoy Unlocking protein sequences Advances in protein structure and ligand-binding site prediction