Open to opportunities

Mathias Andres Saver Cortes

@mathiasandressaverco

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Senior Data Scientist specializing in machine learning and bioinformatics.

Germany

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can contribute to impactful projects and continue to grow professionally.

I am a seasoned data science professional with over 10 years of experience in the field, specializing in bioinformatics and machine learning. My expertise lies in predictive modeling and the discovery of novel therapeutic targets, where I have successfully supported clinical research through comprehensive bioinformatic analysis of complex medical and biological data.

Throughout my career, I have demonstrated a strong ability to work collaboratively with cross-functional teams, implementing high-impact bioinformatics tools that enhance service efficiency and optimize outcomes. I am currently seeking a Senior or Principal level role that allows me to leverage my skills in developing and scaling predictive models to facilitate fast, reliable, and data-driven decision-making.

Experience

Work history, roles, and key accomplishments

ML-engineering & Data Science

Datascientest

Sep 2024 - Present (10 months)

Designed and implemented automated ML pipelines for model training, monitoring, and production deployment. Developed a stacking regression model for predicting blood glucose levels based on historical data from Type-I diabetes patients.

Model Monitoring Regression Models Machine Learning

Senior Data Scientist

Indivumed Therapeutics

May 2023 - Present (2 years 2 months)

Completed immunopeptidomics analysis to discover neoantigens for potential therapeutic targets. Utilized supervised machine learning and AutoML to predict DNA damage using multiOMIC data.

Immunopeptidomics Neoantigen Discovery AutoML

Data Scientist

Indivumed Therapeutics

May 2020 - Present (5 years 2 months)

Quantified immune cell infiltration and signaling pathways activity. Established a KNN-based workflow for imputation of missing values in datasets and implemented clustering techniques.

Immune Cell Infiltration K NN Imputation Clustering

Graduate (PhD) Researcher

Janelia Research Campus & The University of Chicago

Oct 2012 - Present (12 years 9 months)

Developed and characterized a high-throughput optogenetic assay to probe for brain regions involved in reward processing in the fruit fly Drosophila. Collaborated to implement a MATLAB-based pipeline for the quantification of automated behavioral experiments.

Optogenetic Assay Drosophila Matlab Data Quantification

Research Technician

Janelia Research Campus

Nov 2011 - Present (13 years 8 months)

Performed automated olfactory conditioning assays to address the rewarding effects of optogenetic neuronal activation. Assisted with various research tasks and experiments.

Olfactory Conditioning Optogenetics Neuronal Activation

Undergraduate (MSc) Researcher

Pontifical Catholic University of Chile

Mar 2009 - Present (16 years 4 months)

Conducted research as part of the Master's program in Biochemistry. Contributed to scientific projects and data analysis.

Biochemistry Research Data Analysis

Education

Degrees, certifications, and relevant coursework

Datascientest

ML-Engineering & Data Science, ML-Engineering & Data Science

Activities and societies: Relevant courses: Data Vizualization, Supervised & Unsupervised Learning, Bash & Linux, SQL for Data science, Docker for Data Science, Dimensionality reduction, Deep Learning with Keras/tensorflow

Completed relevant courses in Data Visualization, Supervised & Unsupervised Learning, Bash & Linux, and SQL for Data Science. Gained expertise in Docker for Data Science, Dimensionality Reduction, and Deep Learning with Keras/TensorFlow.

Springboard

Data Science, Data Science

Activities and societies: Relevant courses: Data Scientist with Python DataCamp); Machine Learning with Python

Completed relevant courses in Data Scientist with Python and Machine Learning with Python. Developed foundational skills in data analysis and machine learning algorithms.

The University of Chicago

PhD, Biology

Conducted advanced research in Biology, culminating in a doctoral degree. Focused on in-depth study and experimentation within the biological sciences.

Pontifical Catholic University of Chile

Professional Degree (MSc equivalent), Biochemistry

Completed a professional degree in Biochemistry, equivalent to a Master of Science. Gained comprehensive knowledge and practical skills in biochemical principles and research methodologies.