Curriculum vitae

Summary

With over 15 years of experience in computational biology, drug discovery, and data science, I specialize in utilizing advanced computational methodologies to drive innovation in biological research. My expertise spans high-performance computing, molecular simulations, and biophysics, enabling me to decode complex biological systems and accelerate drug discovery efforts. Additionally, I excel in deploying big data applications and leveraging machine learning techniques to extract valuable insights from large datasets.

Education

• B.Sc. Molecular Biology, Universitat de Girona, 2003
• M.Sc. Bioinformatics and Computational Biology, Universidad Complutense de Madrid, 2004
• Ph.D. in Physical Chemistry, Universidad de Granada, 2012.

Experience

• Postdoctoral fellow @ University of Toronto. ( Toronto, CANADA ) April 2014 – Present (5 years)

  • I created tools and methods for data processing and analysis of high-throughput experiments.
  • I designed pipelines for collection of biological data from heterogenic sources; databases, physicochemical calculations and predictions of machine learning models.
  • Analytics of high-throughput experiments using a wide range of analytical techniques; supervised, clustering, network analysis and data visualization.
    • I work in the implementation of deep learning for precise classification of cancer patients using multi-OMICS data.
    • I work to build model for prediction of pathological impact of a mutation.
    • I work to predict the binding motif of a protein to DNA sequences.
  • I mentored undergrad, and grad students.
  • I co-administer the IT infrastructure of the lab.

• PhD student, Research Assistant @ University of Granada. Biophysics Department. ( Granada, SPAIN ) September 2007 - December 2013 (5 years )

  • I conducted a novel analysis of the allosteric and cooperative effects on proteins using state-of-the-art large-scale full-atom computational simulations.
  • I designed a pipeline for preprocessing and analysis of water molecules in structures of peptide domain recognition domains.
  • I performed protein expression and biophysical experiments.

• Scientific Data Manager @ Almirall Pharma. Information department. ( Barcelona, SPAIN ) January 2005 - August 2007 (2 years)

  • I designed and implemented protocols for preprocessing and digital storage of the experimental data of the drug discovery pipeline.

Volunteer and Internships

• Scientific consultant @ Meta (formerly Sciencescape) 2014
• Master student @ Research Programme on Biomedical Informatics. GRIB-IMIM 2003-2004
• Research Assistant intern @ Hospital Universitari de Tarragona Joan XXIII 2002
• Lab Assistant Intern @ Bioberica Pharma. Q&C Department. 2001

Courses & Certificates

• Structuring Machine Learning Projects. DeepLearning.AI, 2019
• Design Thinking and Predictive Analytics for Data Products. UC. San Diego 2019
• Advanced Neural Networks. Scinet, UofT. 2017
• Big Data and non-relational databases. U. Barcelona, 2013.
• Object-Oriented Programming with JAVA. U. Barcelona, 2007.
• Programming in R. U. Barcelona, 2004.
• Introduction to the Health Databases. U. Girona, 2001

Languages

• Spanish. Native
• Catalan. Native
• English. Professional working proficiency

Skills

• TECHNICAL SKILLS: Advance Python; Scikit-learn, Pandas, Numpy, Keras, Jupyter Notebooks, SQL, Linux, High-performance computing RNAseq, DNAseq

• SOFT SKILLS: Curiosity, Research, Critical-Thinking, Visual-Modelling, Self-Managing, Relationship-building, Mentorship.