Jorge D., Data Scientist, Biomedical Engineer
C1 (Advanced) English
Middle (3-5 years)
Copenhagen,
Denmark
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
Main Skills
AI & Machine Learning
Programming Languages
Python Libraries and Tools
R Frameworks
R Libraries and Tools
Data Analysis and Visualization Technologies
Databases & Management Systems / ORM
Amazon Web Services
Soft Skills
Deployment, CI/CD & Administration
Virtualization, Containers and Orchestration
Version Control
Operating Systems
Other Technical Skills
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