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Nello Blaser

Associate Professor

My research interests are focused on topological methods in statistics and machine learning. Topological data analysis refers to the analysis of data shape. My research spans from encoding of data into filtered simplicial complexes (topological representation), approximations of filtered simplicial complexes (sparsification), validation measures of unsupervised persistent homology, data benchmarks, efficient vector representations of persistent homology for supervised machine learning and applications of topological methods in biology and geophysics.

Academic article
  • 2020. Optimal sensors placement for detecting CO2 discharges from unknown locations on the seafloor. International Journal of Greenhouse Gas Control.
  • 2020. Binary time series classification with Bayesian convolutional neural networks when monitoring for marine gas discharges . Algorithms. 1-24.
  • 2019. Sparse Nerves in Practice. Lecture Notes in Computer Science (LNCS). 272-284.
  • 2019. Sparse Dowker nerves. Journal of Applied and Computational Topology.
  • 2019. Optimization of receptor occupancy assays in mass cytometry: Standardization across channels with QSC beads. Cytometry Part A. 314-222.
  • 2019. Contaminant accumulation and biological responses in Atlantic cod (Gadus morhua) caged at a capped waste disposal site in Kollevåg, Western Norway. Marine Environmental Research. 39-51.
  • 2019. Candidate markers for stratification and classification in rheumatoid arthritis. Frontiers in Immunology. 1-8.
  • 2018. The effect of monitoring viral load and tracing patients lost to follow-up on the course of the HIV epidemic in Malawi: A mathematical model. Open Forum Infectious Diseases. 1-9.
  • 2018. Sparse Filtered Nerves . arXiv.org.
  • 2018. RNA-Seq analysis of transcriptome responses in Atlantic cod (Gadus morhua) precision-cut liver slices exposed to benzo[a]pyrene and 17α-ethynylestradiol. Aquatic Toxicology. 174-186.
  • 2018. Evaluating model reduction under parameter uncertainty. BMC Systems Biology. 1-10.
  • 2018. Effects of defined mixtures of POPs and endocrine disruptors on the steroid metabolome of the human H295R adrenocortical cell line. Chemosphere. 328-339.
  • 2018. Divisive Cover. Mathematics in Computer Science. 1-9.
  • 2017. Impact of screening and antiretroviral therapy on anal cancer incidence in HIV-positive MSM. AIDS (London). 1859-1866.
  • 2017. Filtered covers. arXiv.org.
Lecture
  • 2019. Machine Learning in Mathematical Modeling.
  • 2019. A draft metabolic reconstruction of Atlantic cod (Gadus morhua) liver: how to and what for?
  • 2017. Clinical trials for biomarker detection and evaluation - opportunities, benefits and challenges - The biostatistician’s view.
Academic lecture
  • 2019. dCOD 1.0: DECODING THE SYSTEMS TOXICOLOGY OF ATLANTIC COD (GADUS MORHUA) – HIGHLIGHTS SO FAR.
  • 2019. Toxicogenomic responses in Atlantic cod (Gadus morhua) after treatment with selected environmental contaminants in vivo and ex vivo.
  • 2019. The chemical defensome of Atlantic cod (Gadus morhua).
  • 2019. Sparse Nerves in Practice.
  • 2019. EFFECTS OF SELECTED ENVIRONMENTAL ESTROGENS ON EXPRESSION OF FIBROBLAST GROWTH FACTOR SIGNALING PATHWAY GENES IN THE LIVER OF ATLANTIC COD (GADUS MORHUA) IN VIVO AND EX VIVO.
  • 2019. Biological responses of Atlantic cod (Gadus morhua) exposed to polycyclic aromatic hydrocarbons and perfluoroalkyl substances.
  • 2019. Bayesian convolutional neural networks as a tool to detect discharges of pollutants to marine waters through time series classification.
  • 2018. dCOD 1.0: DECODING THE SYSTEMS TOXICOLOGY OF ATLANTIC COD (GADUS MORHUA).
  • 2018. The need for proper environmental statistics to design adequate monitoring for offshore geological storage of CO2 projects.
  • 2018. RNA-seq analysis of transcriptome responses in Atlantic cod (Gadus morhua) precision cut liver slices exposed to benzo[a]pyrene and 17α-ethynylestradiol.
  • 2018. RNA-seq analysis of transcriptome responses in Atlantic cod (Gadus morhua) precision cut liver slices exposed to benzo[a]pyrene and 17α-ethynylestradiol.
  • 2018. Modelling the chemical defensome networks --- a dynamic visualisation of the involved genes and interactions in two fish species and human.
  • 2018. Modelling the chemical defensome network - a dynamic visualisation of the involved genes and pathways in two fish species and humans .
  • 2018. Modelling The Chemical Defensome Networks - A Comparative Dynamic Visualisation Of The Involved Genes And Interactions In Two Fish Species And Humans.
  • 2018. Machine Learning in CO2 leak detection.
  • 2018. Discovering pathway perturbations with topological edge set enrichment analysis (TESEA).
  • 2018. Combining Models and Machine Learning Techniques to Design Leak Detection Monitoring .
  • 2018. Adverse health effects related to chemical exposure in Atlantic cod (Gadus morhua) from Norwegian fjords.
  • 2017. Topological Data Analysis in Epidemiology.
  • 2017. PRECISION-CUT LIVER SLICES (PCLS) FOR TOXICOGENOMIC STUDIES IN ATLANTIC COD (Gadus morhua): THE dCOD 1.0 PROJECT.
  • 2017. Model reduction under parameter uncertainty.
  • 2017. Model reduction under parameter uncertainty.
  • 2017. Divisive cover classification.
  • 2017. An attempt at using topology for classification.
  • 2017. Adverse effects in Atlantic cod (Gadus morhua) due to environmental exposure to pollutant mixtures from the Oslofjord, Norway.
Academic chapter/article/Conference paper
  • 2008. Sparse Nerves in Practice. 13 pages.
Poster
  • 2020. Reconstruction of Currents Based on Sparse Observations with Deep Learning.
  • 2019. dCOD 1.0: DECODING THE SYSTEMS TOXICOLOGY OF ATLANTIC COD (GADUS MORHUA) – HIGHLIGHTS SO FAR.
  • 2019. THE CHEMICAL DEFENSOME OF ATLANTIC COD (GADUS MORHUA): HOW DOES IT DIFFER FROM DEFENSOME NETWORKS IN OTHER TELEOST SPECIES?
  • 2019. Biological responses of Atlantic cod (Gadus morhua) exposed to polycyclic aromatic hydrocarbons (PAHs) and perfluoroalkyl substances (PFASs) .
  • 2019. A draft metabolic reconstruction of Atlantic cod (Gadus morhua) liver .
  • 2018. Persistent homology and network analyses reveal key gene interactions affected by environmental pollutants in Atlantic cod.
  • 2018. Mathematical methods for detection and localization of CO2 leaks.
  • 2018. MODELLING THE CHEMICAL DEFENSOME NETWORKS - a comparative visualisation of the defense genes and interactions in two fish species and human.
  • 2018. Diagnosing rheumatoid arthritis with mass cytometry using topological data analysis.
  • 2017. dCod 1.0: decoding the systems toxicology of Atlantic cod (Gadus morhua).
  • 2017. dCod 1.0 decoding the systems toxicology of Atlantic cod.
  • 2017. Model reduction under parameter uncertainty.
  • 2017. Assessment of Topological Data Analysis and Machine Learning Technologies as Tools for Seep Detection.
Article in business/trade/industry journal
  • 2020. Semi Conditional Variational Auto-Encoder for Flow Reconstruction and Uncertainty Quantification from Limited Observations. arXiv.

More information in national current research information system (CRIStin)