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  1. Employees

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Tjasa Kumelj

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Tjasa Kumelj

Senior Engineer and Researcher
Department of Neuromedicine and Movement Science
Faculty of Medicine and Health Sciences

tjasa.kumelj@ntnu.no
+47(+47)91651567 Nevrosenteret, Øya
ResearchGate Open NTNU Christin
About Research Publications Teaching Outreach

About

CV

Dr. Tjasa Kumelj received her Ph.D. degree in Biotechnology within Computational System Biology. Research work within PhD included Mechanistic Genome-scale Constraint -based Mechanistic Metabolic Modeling, Flux Balance Analysis, Omics Data Analyses, Metabolic Engineering, Computational Systems Medicines, Mechanistic Modeling, Statistical Modeling and Statistical Analysis, Norwegian University of Science and Technology, NTNU.

She has a M.Sc. degree in Chemistry with specialization within Biochemistry/Molecular Biology, University of Ljubljana, Slovenia.

Research work included Mechanistic and Statistical Computational Modeling and Computational Modeling, applying Moldecular Dynamic Simulations and Quantum Mechanics. 

Her present work integrates Development of Models in Precision Medicine, Clinical Database Development  and Data Management (NTNU, Institute for Neuromedicine and Movement, NorHEAD (Norwegian Researh Center for Headache, Medical Faculty, Institute of Neurology).

The projects, she is currently involved in, include:

1.      NorHEAD Research Registry and Biobank (Clinical database development, NorHead, NTNU)

2.      Machine intelligence in HEADaches (MI-HEAD project, NorHead, NTNU): machine learning in classifing migraine from Genome-Wide Genotype data (GWAS), clinical data and health registry data, combining genomic-based and machine learning methods with the ultimate goal to study mechanistic interpretation of non-additive effects in headache disorders.  In collaboration with University College London, UK and International Headache Genetic Consortium.  

3.       Applied Ethical Al on Nordic Patient Records (Anvendt Etisk AI på nordiske pasientjournaler,  FEHLS.2021.AI), NorHead, NTNU & Nordic Applied Ethical AI Consortium: The ultimate goal of the study is development of machine learning model to interpret the non-structured clinical notes and referrals for possible prediciton of medication efficacy and possibly disease progression, applying federated machine learning approach, in collaboration with Aalborg University, Denmark & Z-Inspection-Tempere University, Finland.

4.       Headache in Norway (Hodepine i Norge)-NorHEAD MiHEAD; NTNU, NorHEAD in collaboration with University of Bergen (UiB), Oslo Univerisy Hospital (OUS).

 

 

 

Competencies

  • Bioinformatics
  • Chemistry
  • Complex Network Analysis
  • Computational Mechanistic and Statistical Modeling
  • Computational Systems Biology
  • Data Science
  • Genetical Epidemiology (EpiGenetics)
  • Genome Scale Metabolic Modeling
  • Molecular Biology and Biochemistry
  • Omics Analysis
  • Statistical Genetics and Functional Genomics

Research

1. Clinical DataBase Development and Development of Models in Precision Medicine and Data Management, NTNU, Faculty of Medicine, Institut for Neuromedicine, NeuroØst, St.Olof Hospital, NorHead-Norwegian Research Center for Headache.

-Computational Systems Biology & Bioinformatics

-Computational Statistical & Mechanistic Modeling and Data Science

-Genome-scale Metabolic Modeling and Reconstruction of Genome-scale Metabolic Models

-Database development

-Omics analysis

-Genetic Epidemiology

-Statistical Genetics and Functional Genomics

2. Computational Systems Biology-Genome Scale Metabolic Modeling, Metabolic Engineering, Complex Network Analysis and Omics Analysis with Application in Biotechnology, Bioengineering and Biomedicine (NTNU, Professor Eivind Almaas Lab)-PhD degree.

3. Theoretical (Computational) Chemistry within Molecular Modleing and Computer Molecular Dynamics (MD) Simulation (NTNU)-medical research.

4. Experimental Chemistry, Biochemistry/Molecular Biology, Analytical Chemistry- Drug Discovery Unit (Pharmaceutical firm LEK (Sandoz), a generic part og Swiss Company Novartis).

 

Publications

  • Chronological
  • By category
  • All publications registered in NVA

2025

  • Danelakis, Antonios; Kumelj, Tjasa; Winsvold, Bendik S.; Bjørk, Marte Helene; Nachev, Parashkev; Matharu, Manjit. (2025) Diagnosing migraine from genome-wide genotype data: a machine learning analysis. Brain
    Academic article

2021

  • Schulz, Christian; Kumelj, Tjasa; Karlsen, Emil; Almaas, Eivind. (2021) Genome-scale metabolic modelling when changes in environmental conditions affect biomass composition. PLoS Computational Biology
    Academic article

2020

  • Sulheim, Snorre; Kumelj, Tjasa; Dissel, Dino van; Salehzadeh-Yazdi, Ali; Du, Chao; Wezel, Gilles P. Van. (2020) Enzyme-Constrained Models and Omics Analysis of Streptomyces coelicolor Reveal Metabolic Changes that Enhance Heterologous Production. iScience
    Academic article

2019

  • Kumelj, Tjasa; Sulheim, Snorre; Wentzel, Alexander; Almaas, Eivind. (2019) Predicting strain engineering strategies using iKS1317: a genome-scale metabolic model of Streptomyces coelicolor. Biotechnology Journal
    Academic article

Journal publications

  • Danelakis, Antonios; Kumelj, Tjasa; Winsvold, Bendik S.; Bjørk, Marte Helene; Nachev, Parashkev; Matharu, Manjit. (2025) Diagnosing migraine from genome-wide genotype data: a machine learning analysis. Brain
    Academic article
  • Schulz, Christian; Kumelj, Tjasa; Karlsen, Emil; Almaas, Eivind. (2021) Genome-scale metabolic modelling when changes in environmental conditions affect biomass composition. PLoS Computational Biology
    Academic article
  • Sulheim, Snorre; Kumelj, Tjasa; Dissel, Dino van; Salehzadeh-Yazdi, Ali; Du, Chao; Wezel, Gilles P. Van. (2020) Enzyme-Constrained Models and Omics Analysis of Streptomyces coelicolor Reveal Metabolic Changes that Enhance Heterologous Production. iScience
    Academic article
  • Kumelj, Tjasa; Sulheim, Snorre; Wentzel, Alexander; Almaas, Eivind. (2019) Predicting strain engineering strategies using iKS1317: a genome-scale metabolic model of Streptomyces coelicolor. Biotechnology Journal
    Academic article

Teaching

Teaching and Leading Laboratory Course in Physical Chemistry in electrolytic conductivity and transference number at Deparment of Chemistry, NTNU (2006-2010)

Supervision

Data Management and establishement of Broad Research Database within ISO-certified HUNT Cloud environment (NorHead - Norwegian Center for Headache Research, Faculty of Medicine, Institut of Neurology) (2022- )

Teaching and Leading Laboratory Course in Physical Chemistry in electrolytic conductivity and transference number at Deparment of Chemistry, NTNU (2006-2010).

Project leader , Drug Discovery Group, Pharmaceutical Company (part of Sandoz, Swiss Company), Slovenia (2002-2005)

Outreach

2025

  • Poster
    Barlous, Benjamin Christopher; Danelakis, Antonios; Ekman, Petra; Gils, Mark van; Happonen, Antti P.; Hau, Maïlys Françoise. (2025) Federated Ethical Healthcare Learning Sandbox Project. FCAI AI Day 2025 , Dipoli 2025-11-12 - 2025-11-12
  • Poster
    Danelakis, Antonios; Faisal, Fahim; Abildsnes, Håkon Kvisle; Winsvold, Bendik Kristoffer Slagsvold; Bjørk, Marte-Helene; Giles, Dominic. (2025) Data driven phenotyping of migraine and its correlation with ICHD-3 criteria and polygenic risk scores. European Headache Congress (EHC) 2025 , Lisbon 2025-12-02 - 2025-12-05

2024

  • Academic lecture
    Danelakis, Antonios; Stubberud, Anker; Winsvold, Bendik Kristoffer Slagsvold; bjørk, marte helene; Giles, Dominic; Nachev, Parashkev. (2024) Machine learning versus polygenic risk scoring as migraine predictors based on genome-wide genotype data. Migraine Trust International Symposium (MTIS) 2024 , London 2024-08-05 - 2024-08-08
  • Academic lecture
    Danelakis, Antonios; Abildsnes, Håkon Kvisle; Faisal, Fahim; Winsvold, Bendik Kristoffer Slagsvold; bjørk, marte helene; Giles, Dominic. (2024) Machine learning can predict migraine from genotype and non-headache clinical data with high accuracy. European Headache Congress (EHC) 2024 , Rotterdam 2024-12-04 - 2024-12-07

2021

  • Poster
    Sulheim, Snorre; Kumelj, Tjasa; Dissel, Dino van; Salehzadeh-Yazdi, Ali; Du, Chao; Wezel, Gilles P. Van. (2021) A systems comparison of Streptomyces coelicolor M1152 and M145 reveals major metabolic rewiring. COBRA 2021 , Virtuellt 2021-03-01 - 2021-03-02

2019

  • Poster
    Sulheim, Snorre; Kumelj, Tjasa; Salehzadeh-Yazdi, Ali; Dissel, Dino van; Chao, Du; Nieselt, Kay. (2019) An enzyme-constrained genome-scale metabolic model of Streptomyces coelicolor reveals global effects of gene cluster deletion and rpoB mutation. Digital Life Norway Conference 2019 , Tromsø 2019-09-05 - 2019-09-06
  • Academic lecture
    Wentzel, Alexander; Lewin, Anna; Nordborg, Anna; Nguyen, Giang-Son; Degnes, Kristin Fløgstad; Sulheim, Snorre. (2019) Expanding the (meta)genomics toolbox for the discovery and production of novel natural products from microbial resources. 2nd Synthetic Biology for Natural Products Conference , Puerto Vallarta 2019-06-02 - 2019-06-05
  • Academic lecture
    Wentzel, Alexander; Lewin, Anna; Nordborg, Anna; Nguyen, Giang-Son; Degnes, Kristin Fløgstad; Sulheim, Snorre. (2019) Expanding the (meta)genomics toolbox for the discovery and production of novel natural products from microbial resources. Functional Metageomics 2019 , Trondheim 2019-06-16 - 2019-09-19

2018

  • Poster
    Sulheim, Snorre; Kumelj, Tjasa; Sletta, Håvard; Wentzel, Alexander; Almaas, Eivind. (2018) Predicting phenotypes using iKS1317: a genome-scale metabolic model of Streptomyces coelicolor. Digital Life Conference 2018 , Bergen 2018-03-20 - 2018-03-21

2017

  • Academic lecture
    Sulheim, Snorre; Kumelj, Tjasa; Wentzel, Alexander; Almaas, Eivind. (2017) A genome-scale metabolic model for Streptomyces coelicolor. Modelling living systems - From foundational problems to applications , Bergen 2017-09-07 - 2017-09-08
  • Poster
    Sulheim, Snorre; Kumelj, Tjasa; Wentzel, Alexander; Almaas, Eivind. (2017) Extended GEM of Streptomyces coelicolor for production of secondary metabolites. International conference on systems biology 2017 (ICSB 2017) , Blacksburg, Virgina 2017-08-06 - 2017-08-12
  • Lecture
    Wentzel, Alexander; Lewin, Anna; Nordborg, Anna; Nguyen, Giang-Son; Degnes, Kristin Fløgstad; Sulheim, Snorre. (2017) New bioactive compounds from environmental microbial resources by an integrated functional (meta)genomics approach. Synthetic Biology of Natural Products , Hotel Fiesta Americana Condesa, Cancun 2017-03-05 - 2017-03-08
  • Lecture
    Wentzel, Alexander; Lewin, Anna; Nordborg, Anna; Nguyen, Giang-Son; Degnes, Kristin Fløgstad; Sulheim, Snorre. (2017) New bioactive compounds from environmental microbial resources by an integrated functional (meta)genomics approach. BioProsp 2017, the 8th International Conference on Marine Biotechnology , UiT, Tromsø 2017-03-08 - 2017-03-10
  • Poster
    Sulheim, Snorre; Kumelj, Tjasa; Wentzel, Alexander; Almaas, Eivind. (2017) A genome-scale metabolic model for Streptomyces coelicolor. Advanced course on Metabolic engineering and Systems Biology , Gøteborg 2017-06-18 - 2017-06-22
  • Poster
    Sulheim, Snorre; Kumelj, Tjasa; Wentzel, Alexander; Almaas, Eivind. (2017) A genome-scale metabolic model for Streptomyces coelicolor. Methodologies for Digital Life - Focus on Metabolic Systems , Bergen 2017-10-06 -
  • Academic lecture
    Sulheim, Snorre; Kumelj, Tjasa; Wentzel, Alexander; Almaas, Eivind. (2017) A genome-scale metabolic model for Streptomyces coelicolor. Lunsj-seminar , Trondheim 2017-09-20 - 2017-09-20
  • Poster
    Kumelj, Tjasa; Sulheim, Snorre; Wentzel, Alexander; Almaas, Eivind. (2017) A genome-scale metabolic model for Streptomyces coelicolor. Advanced course on Metabolic engineering and Systems Biology , Gøteborg 2017-06-18 - 2017-06-22
  • Academic lecture
    Kumelj, Tjasa; Sulheim, Snorre; Wentzel, Alexander; Almaas, Eivind. (2017) Extended GEM of Streptomyces coelicolor for production of secondary metabolites. International conference on systems biology 2017 (ICSB 2017) , Blacksburg, Virgina 2017-08-06 - 2017-08-12
  • Poster
    Sulheim, Snorre; Almaas, Eivind; Kumelj, Tjasa. (2017) A genome-scale metabolic reconstruction of S. coelicolor. NORBIS annual national conference 2017 , Hillesøy, Troms 2017-11-08 - 2017-11-10
  • Lecture
    Wentzel, Alexander; Lewin, Anna; Nordborg, Anna; Nguyen, Giang-Son; Degnes, Kristin Fløgstad; Sulheim, Snorre. (2017) New bioactive compounds from environmental microbial resources by an integrated functional (meta)genomics approach. Centre for Digital Life Norway - Annual conference , Hotel Bristol, Oslo 2017-03-20 - 2017-03-21
  • Lecture
    Wentzel, Alexander; Lewin, Anna; Nordborg, Anna; Nguyen, Giang-Son; Degnes, Kristin Fløgstad; Sulheim, Snorre. (2017) New bioactive compounds from environmental microbial resources by an integrated functional (meta)genomics approach. Meeting with the ReDig project , SINTEF, RG Biotechnology 2017-09-19 - 2017-09-19

2009

  • Academic lecture
    Kumelj, Tjasa; Åstrand, Per-Olof; Sanz-Navarro, Carlos F.. (2009) Towards a reactive force field for Fe(IV) with application to oxidative dealkylation of DNA. Bioinformatics Forum for Young Scientists (BFYS) April 24-26 2009, Trondheim/Selbu , Selbu 2009-04-24 - 2009-04-26

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