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Jorge D. Data Scientist, Biomedical Engineer

Data Science

Summary

- 2+ years of experience as a Data Scientist at QIAGEN (biotech) and at DELOITTE (consulting)
- 2 years experience as Data Engineer & ML Researcher at CEREBRIU (AI & Medical Imaging)
- BSc in Biomedical Engineering, MSc in Data Science

Experience 

MACHINE LEARNING RESEARCHER, CEREBRIU (AI & radiomics)

Sep 2023 - Present

Within the ML team and in collaboration with academia for my MSc thesis, I focus on automating the segmentation & detection of Cerebral Microbleeds in MRI brain data through Deep Learning.

  • Continuous Literature research
  • Design and coordinate the creation of a new clinically relevant dataset of microbleeds in collaboration with radiologists.
  • Refinement and preprocessing of public and private datasets Training of 3D segmentation and detection models
  • Investigating: multi-task and transfer learning, augmentations 37.5 ECTS. Preliminary results: https://shorturl.at/bHLSW

 

DATA ENGINEER, CEREBRIU (AI & radiomics)

Nov 2022 - Present

In the Data Management & Analytics team, my efforts are directed towards on processing and managing data to facilitate deep learning model training within the Research department.

  • Managing internal database of MRI images, annotation maps, and medical reports on Amazon S3 and XNAT
  • Improving the processing pipeline for ingesting new hospital data 
  • Deploying Large Language Models for automatic labeling, classification, NER, and anonymization of medical reports
  • Leading technical aspects of multiple data annotation projects through data analysis, image processing, and Sdk interactions
  • Coordinating closely with medical annotators and radiologists

 

DATA ANALYST, Deloitte Digital (consulting)

Sep 2021 - Aug 2022

Technical lead for various marketing automation and digitalization projects across automotive, banking, and airline industries.

  • Developing automation scripts for ETL pipelines, analytics, KPI calculations, and SFMC campaigns launching & Surveillance
  • Predictive modeling for customer behavior Data reporting to clients with real-time dashboards & reports

 

JUNIOR DATA SCIENTIST, QIAGEN (biotech)

Nov 2019 - Sep 2021

Within the Data Science team, handling qPCR & production data.

  • Developed custom R-Shiny apps and deployed on Linux servers R Backend coding (R package, API interactions, processing)
  • Instituted a Data Catalog and coding standards for the team
  • Administering Linux servers for computation & data hosting
  • Producing statistical data analysis for various departments
  • Tuning a classification algorithm for new DiagCORE panels

Prior to the Data team, I worked for 9 months in the R&D department for production as a Process Engineer. Scripting and doing wet lab tasks.

 

BSC THESIS - COMPUTATIONAL NEUROSCIENCE, IDIBAPS (research)

Feb 2020 - Jul 2020

Within Systems Neuroscience research group. The goal was to investigate using long-temporal-scale information by various Recurrent Neural Networks to understand decisionmaking biases observed in real experiments with mice.

Contributed to NeuroGym open-source package.

  • Article preprint: https://osf.io/preprints/psyarxiv/aqc9n
  • Thesis report: https://shorturl.at/mITW0

Education

MASTER OF SCIENCE - DATA SCIENCE

IT University of Copenhagen | Sep 2022 - Jun 2024 (120 ECTS)

Grade: 10.2 (average), 12 (mode), 7-step scale

Theoretical and applied foundations of:

  • Algorithm Design & Programming
  • Advanced Statistics & Calculus
  • Advanced ML & NLP (RNNs, CNNs, Transformers, GANs, VAEs)
  • Production DS (Data wrangling, Databases, DevOps)
  • Computer Systems Performance
  • Medical Image Analysis & Processing

Projects can be found here: https://shorturl.at/xIL37.

 

BACHELOR OF SCIENCE - BIOMEDICAL ENGINEERING

University of Barcelona | Sep 2016 - Jul 2020 (240 ECTS)

Grade: 8.7 (average), 9 (mode), 0-10 point scale 11 Distinctions with Honours

ENGINEERING knowledge: Algebra · Calculus · Differential Equations · Physics · Biophysics · Computer Science · Statistics · Programming · Electronics · Signal Processing · Computational Modeling · [Bio]Materials · Robotics · Bioinformatics · ML BIOMEDICAL knowledge: Cell & Molecular Biology · Biotechnology [Bio]Physics · [Bio]Chemistry · Pharmacology · Human Anatomy & Physiology · Tissue Engineering · Medical Instrumentation · Clinical Engineering · Nanotechnology · Medical Imaging

 

EXCHANGE SEMESTER - BIOMEDICAL ENGINEERING

Delft University of Technology (Netherlands) | Jan - Aug 2019

Taking 60 ECTS of courses from MSc in Biomedical Engineering