Adrián Rejas Llamera
Nürnberg
Summary
Detail-oriented Biomedical Engineer with expertise in biomedical signal processing and data analysis. Proficient in advanced Python and Matlab, contributing to significant innovations in medical research. Recognized for strong teamwork and problem-solving skills, enhancing the application of data science and machine learning in diverse projects. Aiming to leverage analytical abilities and innovation knowledge to drive further advancements in medicine.
Overview
1
1
year of professional experience
1
1
Certification
Work History
Research Intern
Biomedical Engineering Group, University of Valladolid
Valladolid
07.2022 - 09.2023
Collaborated with a multidisciplinary team to advance biomedical signal processing. Explored heterogeneous data fusion technologies to enhance clinical understanding and characterization of migraine disease.
- Analyzed electroencephalographic (EEG) activity from 86 subjects to study neurophysiological alterations in chronic and episodic migraine.
- Extracted and processed EEG features related to local activation, global synchronization, and functional connectivity.
- Developed and analyzed association networks using graph theory principles to quantify differences in neurophysiological structure across study groups.
- Interpreted statistical results suggest a brain restructuring process in migraine patients, driven by neuroplasticity phenomena.
- Insights from this project were presented at the Annual Congress of the Spanish Society of Biomedical Engineering.
Education
Degree in Biomedical Engineering -
University of Valladolid
Valladolid06-2023
Master of Science - Digital Innovation: Health & Medical Data Analysis
Friedrich-Alexander University, Erlangen-Nuremberg
NürnbergMaster of Science - Digital Innovation: Health & Medical Data Analysis
Polytechnical University of Madrid
MadridSkills
- Python
- Matlab
- Applied Machine Learning Techniques
- Signal and Image Processing Techniques
- RStudio Data Analysis Skills
- Microsoft 365
- Data Management
- Source Code Repository Management (GitHub)
- PyTorch and Tensorflow
Projects
- Development of a tool based on association networks to characterize neural activity in migraine.
- Breast tumor classification by means of probabilistic and non-probabilistic Machine Learning algorithms.
- Design of an algorithm for estimating the desaturation index in the blood oxygen saturation signal (SpO2) obtained by the pusioximetry (PO) technique.
Languages
Spanish
First Language
English
Advanced (C1)
C1
German
Beginner
A1
Certification
- Obtained the maximum score in my Bachelor Thesis. Proposed for Honors.
- Thesis submitted and presented at CASEIB 2023 (Annual Congress of the Spanish Society of Biomedical Engineering).
- Currently on two Machine Learning courses (Coursera)
Affiliations
- Provided after-school homework assistance to underprivileged children, fostering educational growth and equal opportunities.
Extra information
- Lifeguard certificate for aquatic facilities (First-aid knowledge)
- Driving license
- Experience as bartender and assembly technician in events
Timeline
Research Intern
Biomedical Engineering Group, University of Valladolid
07.2022 - 09.2023
- Obtained the maximum score in my Bachelor Thesis. Proposed for Honors.
- Thesis submitted and presented at CASEIB 2023 (Annual Congress of the Spanish Society of Biomedical Engineering).
- Currently on two Machine Learning courses (Coursera)
Degree in Biomedical Engineering -
University of Valladolid
Master of Science - Digital Innovation: Health & Medical Data Analysis
Friedrich-Alexander University, Erlangen-Nuremberg
Master of Science - Digital Innovation: Health & Medical Data Analysis
Polytechnical University of Madrid
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