EDUCATION

2022 - Current

PhD in Bioinformatics and Bioengineering, University of California Santa Cruz. Braingeneers Group

2020-2021

M.Sc., Computational Biology
Universidad Politécnica de Madrid, Madrid, Spain

2016-2020

B.Sc., Biotechnology. High Academic Performance group
Universidad Miguel Hernandez of Elche, Elche, Spain

PROFESSIONAL EXPERIENCE

2022 - Current

Graduate Student Researcher - Teaching Assistant - University of California Santa Cruz
PI: David Haussler, Mohammed Mostajo

  • Development of label transfer tool SIMS, based on single cell transcriptomic data
  • Single cell data analysis with Scanpy, Seurat, Monocle …
  • Development of Variational autoencoder for neuroelectrophysiology data
  • Development of bioinformatic tools and api
  • Participation in scientific outreach and educational activities
  • Teaching assistant for BME 18 - Scientific principles of life

2021 - 2022

Analyst - SDG group Iberia - Machine learning engineer in the DATA Tech department

  • Designed and developed a ML framework in R
  • Used python for automation of processes
  • Took part on several data projects related with banking and finances
  • Helped migrating ETL SAS projects to SQL
  • Worked with Git for Version Control and Apache Airflow for orchestration

2021

Universidad Complutense de Madrid -
Department of computer architecture and automation. Development of a Machine learning algorithm to gain insight into Multiple Sclerosis and its relationship with cognitive impairment.
PI: Jose Luis Rodrigo Ayala, PhD

2021

VINDOO startup - Trained artificial vision models based in Yolo4 that helped farmers decide when to pick their fruits
Supervisor: Miguel Pelaez Fernandez, PhD

2019-2020

Neurogenesis and cortical expansion research group – Instituto de neurociencias (Neuroscience Institute), Alicante. Study of ROBO and STIL roles in neurogenesis.
PI: Victor Borrell Franco, PhD

2018

Small world initiative– SWI Spain.
Project focused on taking science to high school students and showing them the problems derived from bacterial antibiotic resistance while making them participants of the research to find new antibiotics.
PI: Manuel Sanchez Angulo, PhD / Marina Torreblanca Calvo, PhD

2018

Micol and Ponce labs – Institute of Bioengineering, Universidad Miguel Hernández. Study of splicing mechanisms in Arabidopsis thaliana.
PI: Maria Rosa Ponce Molet, PhD

PAPERS

2024

Article: Gonzalez-Ferrer, J., Lehrer, J., O’Farrell, A., Paten, B., Teodorescu, M., Haussler, D., … & Mostajo-Radji, M. A. (2024). SIMS: A deep-learning label transfer tool for single-cell RNA sequencing analysis. Cell Genomics, 4(6).

2024

Article: Sano, T., Sampad, M.J.N., Gonzalez-Ferrer, J. et al. Internet-enabled lab-on-a-chip technology for education. Sci Rep 14, 14364 (2024). https://doi.org/10.1038/s41598-024-65346-0

2024

Resubmitted: van der Molen, T., Spaeth, A., Chini, M., Bartram, J., Dendukuri, A., Zhang, Z., Gonzalez-Ferrer, J, … et al. (2023). Protosequences in human cortical organoids model intrinsic states in the developing cortex. bioRxiv : the preprint server for biology, 2023.12.29.573646. https://doi.org/10.1101/2023.12.29.573646

2024

Preprint: Mostajo-Radji, M. A., Leon, W. R. M., Breevoort, A., Gonzalez-Ferrer, J., Schweiger, H. E., Lehrer, J., … & Pollen, A. A. (2024). Fate plasticity of interneuron specification. bioRxiv, 2024-10.

2024

Under Review: Zabetian, Zoe., Gonzalez-Ferrer, J., Lehrer, J., Teodorescu, M., Haussler, D., & Mostajo-Radji, M. Al. Single-cell RNA sequencing analysis using deep-learning (2024). TBD