I am Ibon Martínez-Arranz and I got my BSc. in Mathematics from the University of the Basque Country (EHU/UPV) and performed a MSc. in Current Applied Statistics Techniques and a MSc. in Mathematical Modeling Research, Statistical Analysis and Computing Sciences. In 2004, I joined the Basque Country Health Service (The Department of Health of the Basque Country Government and Osakidetza) as a data analyst and my work was mainly focused on the epidemiological report of renal patients. When I joined OWL Metabolomics in 2010, first I worked as a researcher in the Metabolomics Department and in 2017, I became the head of the Data Science Department, being responsible for prediction and statistical computation management since then. This high experience provide support to metabolomics services, laboratory processes, data handling, R&D projects and technology transfer processes.
Education
| INSTITUTION AND LOCATION |
DEGREE | COMPLETION DATE |
FIELD OF STUDY |
|---|---|---|---|
| University of Basque Country (UPV/EHU) (Biscay, Spain) | BSc. | 06/2003 | Mathematics |
| National University of Distance Education (Spain) | Expert degree | 07/2007 | Statistics Applied to Health Sciences |
| National University of Distance Education (Spain) | Expert degree | 07/2008 | Advanced Methods of Applied Statistics |
| National University of Distance Education (Spain) | MSc. | 07/2012 | Current Applied Statistics Techniques |
| National University of Distance Education (Spain) | Expert degree | 07/2013 | Multivariate Statistical Techniques |
| University of Basque Country (UPV/EHU) (Biscay, Spain) | MSc. | 05/2016 | Mathematical Modeling, Statistical Analysis and Computation |
| University of basque Country (UPV/EHU) (Biscay, Spain) | Ongoing PhD. | Expected 2024 | Applied Mathematics |
Currently, I am doing a doctoral thesis entitled Genetic Algorithms Applied to Translational Strategy in NASH. Learning from Mouse Models in which I apply 🧬 genetic algorithms 🧬 for the selection of NAFLD subtypes. This procedure could be applied to any disease that is based on metabolic changes. This work also has implications in the field of precision medicine.
Contributions to Science
Author of 24 publications. Scopus H-index = 16. Researcher unique identifier
'Omics' research generates a large amount of data for every sample. OWL has established a well-defined workflow and a set of guidelines for analyzing omics data. It includes statistical design of experiments, data structuration and predictive modelling.
Peer-reviewed papers:
- Martínez-Arranz, I, et al. Enhancing metabolomics research through data mining, J. Proteomics, 2015;127(B)275-288.
- Barr J, et al. Obesity-dependent metabolic signatures associated with nonalcoholic fatty liver disease progression. J. Proteome Res 2012;11(4),2521-32
- Arbelaiz A, et al. Serum extracellular vesicles contain protein biomarkers for primary sclerosing cholangitis and cholangiocarcinoma. Hepatology. 2017; 10.1002/hep.29291.
- Cano A, et al. A Metabolomics Signature Linked To Liver Fibrosis In The Serum Of Transplanted Hepatitis C Patients. Scientific Reports. 2017;7(1):10497.
We have developed predictive algorithms for several diseases. We have been really involved in the development and validation of the OWLiver, OWLiver F2+ and OWLiver DM2 tests.
Peer-reviewed papers:
- Barr J, et al. Obesity-dependent metabolic signatures associated with nonalcoholic fatty liver disease progression. J. Proteome Res. 2012;11(4):2521-32.
- Cano A, et al. A Metabolomics Signature Linked To Liver Fibrosis In The Serum Of Transplanted Hepatitis C Patients. Scientific Reports. 2017;7(1):10497.
- Herreros-Villanueva M, et al. Plasma MicroRNA Signature Validation for Early Detection of Colorectal Cancer. Clin Transl Gastroenterol. 2019 Jan;10(1).
- Matorras R, et al. The lipidome of endometrial fluid differs between implantative and non-implantative IVF cycles. J Assist Reprod Genet. 2020;37(2):385-94.
- Martínez-Arranz I, et al. Metabolomic-based noninvasive serum test to diagnose nonalcoholic steatohepatitis: Results from discovery and validation cohorts. Hepatol Commun. 2018 May 4;2(7):807-820.
Peer-reviewed papers:
- Alonso C, et al. Metabolomic Identification of Subtypes of Nonalcoholic Steatohepatitis. Gastroenterology 2017;152(6):1449-61.
- Iruarrizaga-Lejarreta M, et al. Role of Aramchol in steatohepatitis and fibrosis in mice. Hepatology Communications 2017;1(9):911-27.
- Banales JM, et al. Serum metabolites as diagnostic biomarkers for cholangiocarcinoma, hepatocellular carcinoma and primary sclerosing cholangitis. Hepatology 2019;70(2):547-65.
- Herreros-Villanueva M, et al. Plasma MicroRNA Signature Validation for Early Detection of Colorectal Cancer. Clin Transl Gastroenterol. 2019 Jan;10(1).
- Matorras R, et al. The lipidome of endometrial fluid differs between implantative and non-implantative IVF cycles. J Assist Reprod Genet. 2020;37(2):385-94.
Skills
| TOPIC | SOFTWARE | SKILLS |
|---|---|---|
| Programming Languages for Data Science | Python R SQL |
🟥🟥🟥🟥🟥 🟥🟥🟥🟥⬜ 🟥🟥🟥🟥⬜ |
| Data Analysis | Pandas Pingouin |
🟥🟥🟥🟥🟥 🟥🟥🟥🟥🟥 |
| Data Computation | Numpy Scipy |
🟥🟥🟥🟥🟥 🟥🟥🟥🟥⬜ |
| Data Bases | MySQL SQLite MongoDB |
🟥🟥🟥⬜⬜ 🟥🟥🟥🟥⬜ 🟥🟥⬜⬜⬜ |
| Machine Learning | Scikit-Learn | 🟥🟥🟥🟥⬜ |
| Big Data | H2O | 🟥🟥🟥🟥⬜ |
| Visualization Tools | Matplotlib Seaborn Altair |
🟥🟥🟥🟥⬜ 🟥🟥🟥🟥🟥 🟥🟥🟥🟥⬜ |
| Web | Shiny Streamlit |
🟥🟥🟥🟥⬜ 🟥🟥🟥⬜⬜ |
Patents and Pendings
| PUBLICATION NUMBER |
TITLE | INTERNATIONAL FILING DATE |
|---|---|---|
| WO2021028562 | Lipid signatures for determining the outcome of embryo implantation during in vitro fertilization | 14.08.2020 |
| WO2018007511 | Diagnostic methods based on lipid profiles | 06.07.2017 |
| WO2018007422 | Identification of human Non-Alcoholic Fatty Liver Disease (NAFLD) subtypes | 05.07.2017 |
| WO2017055397 | Metabolomic signature of diagnosis and disease progression in Non-Alcoholic Fatty Liver Disease (NAFLD) | 29.09.2016 |
Publications
🟨 NAFLD Disease 🟩 Subtypes 🟧 Machine Learning and Modelling 🟪 In Vitro Diagnostic test
- 📌 I’m currently working as 📊 Senior Data Scientist 📊 @ OWL Metabolomics.
- 📌 I’m currently learning Streamlit, Panel and MongoDB, ...
- 📌 I'm interested in: 👨🔬 Data Science 🐍 Python 🐼 Pandas 🤖 Machine Learning 🗂️ SQL and DataBases 📊 Data Analysis 🚀 SKlearn
- 📌 I want to learn about: ⚙️ awk
- 📌 I use daily:
.ipynb,.py,.sql,.sqlite,.yaml,.R,.tex, ... - 📌 Ask me about 🧬 Genetic Algorithms 🧬
- 📌 I Love Data Visualization 📊📈📉.
- 📌 Fun fact: I'm a huge fan of The Lord of the Rings and LEGO®
