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
Upstaffer since May, 2024
