Director of Bioinformatics Platform

Harvard Chan School

Biography

Visionary leader in computational biology, excelling in genomic and data visualization for decision-making processes, with a proven track record in Biotech for enhancing target discovery through innovative bioinformatics methods. Leveraged genomics methods expertise to pioneer research at Harvard. Led cross-functional teams towards groundbreaking insights in fibrosis, oncology and neurodegeneration. Proficient in project coordination and mentoring scientists.

Biotech Consultant/Advisor (2020 to present): Advise on technology, computational biology and bioinformatics strategy for emerging BioTechs building data lakes and novel methods to accelerate the process of target discovery, gene editing and drug development pipelines

Vision and Mission

Accelerate decision-making process in biomedicine to impact people suffering from any conditions

Build robust platforms with innovative genomic data analysis and visualization to communicate system biology

Leadership

13 years of experience mentoring scientists and leading teams in Academia and Biotech environments.

Led cross-functional teams in BigPharma/Academia collaborations and biotech.

Experience in communication cross-teams and with business partners. Managed budget and timelines. Collaborate with business development team.

Community

JOSS editor.

Join our women in bioinformatics in Boston area.

Interests

  • Target Discovery and Patient Stratification in Oncology and Neurodegeneration
  • Sequencing-based Platforms, Multi-Omic Modelling and Genomic Visualization

Education

  • PhD in Biomedicine, 2011

    Pompeu Fabra University

  • Ms in Bioinformatics, 2008

    Pompeu Fabra University

  • BSc in Biochemistry, 2005

    University of Granada

Experience

 
 
 
 
 

Director of Bioinformatics Platform

Harvard Chan Bioinformatics Core

Apr 2024 – Present Boston
My main responsibility is to manage bioinformatics pipelines, ensuring they’re reliable, efficient, and scalable for analyzing genomic, transcriptomic, and other omics data. I am also leading the development of an interactive visualization platform, making complex biological data more accessible for multiple research programs. In addition to this, I am leading and mentoring a team of bioinformaticians, fostering a collaborative and innovative work environment. My role involves consulting with researchers and external collaborators to understand their bioinformatics needs and collaborating on interdisciplinary projects. Quality assurance and documentation are also part of my duties, ensuring the accuracy and reliability of analyses and maintaining comprehensive documentation for pipelines and workflows.
 
 
 
 
 

Director, Head of Computational Biology

NextRNA Therapeutics

May 2021 – Feb 2024 Cambridge

Responsibilities include:

  • Led the computational biology team and strategy by being the interface between Biology, Technology and Drug Discovery teams
  • Led the in-Silico Target discovery/validation team integrating NGS technology and innovative visualization methods
  • Managed Illumina and Nanopore sequencing technology with internal FTEs and CROs
  • Built the RNA structure and RNA-Protein interaction AI engine from SHAPE-Seq and eCLIP-Seq derived data
  • Managed the cloud computational infrastructure to ensure reproducibility and scalability
 
 
 
 
 

Principal Scientist in Computational Biology

Axcella Health

Sep 2020 – Apr 2021 Cambridge

Responsibilities include:

  • Led R&D pipelines with computational strategies
  • Led visualization platform with multi-omics data to understand gene regulation
  • Applied machine learning methods to understand population stratification in pre-clinical studies
  • Developed bioinformatics cloud infrastructure to ensure reproducibility and scalability*
 
 
 
 
 

Senior Computational Biologist

eGenesis Bio

Sep 2019 – Sep 2020 Cambridge

Responsibilities include:

  • Managed the internal NGS team with Oxford Nanopore and Illumina technologies
  • Led the research of epigenetics marks to enforce expression of transgenes with machine learning
  • Built the technical QA/QC genomic platform
  • Developed multi-Omics pipelines in a community environment
  • Managed the computational cloud infrastructure
 
 
 
 
 

Research Scientist

Harvard Chan School

Jun 2017 – Apr 2019 Boston

Responsibilities include:

  • Lead the bioinformatic activities in the cross-organ fibrosis project collaboration between Harvard University and Boehringer Ingelheim
  • Developed and contributed to the computational platform maintaining the system scalable and reproducible
  • Develop tools for NGS data analysis: small RNAseq, (Single Cell and bulk) RNA-seq, ChIP-seq, WholeGenome-seq as part of the bcbio-nextgen python framework * Bioconductor platform
  • Developed the visualization and integration of multi-omics NGS data inside the bcbio-nextgen python framework
 
 
 
 
 

Research Associate

Harvard Chan School

May 2014 – Jun 2017 Boston
  • Develop tools for NGS data analysis: small RNAseq, (Single Cell and bulk) RNA-seq, ChIP-seq, WholeGenome-seq as part of the bcbio-nextgen python framework * Bioconductor platform
  • Developed the visualization and integration of multi-omics NGS data inside the bcbio-nextgen python framework
 
 
 
 
 

Post-doctoral fellow

Institute of Biotechnology and Biomedicine

Feb 2013 – Apr 2014 Barcelona
Detected de-novo transcripts as effect of inversion in the HapMap population.Expression quantitive trait loci analysis of inversion in the HapMap population.
 
 
 
 
 

Post-doctoral fellow

Institute of Predictive and Personalized Medicine of Cancer

Sep 2011 – Feb 2013 Barcelona
Determined small RNA characterization in human sperm samples.