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Mathias Saver

Mathias Saver

Senior Data Scientist

Indivumed Therapeutics

Technologies

My Portfolio Highlights

My New Track

Data Scientist

My New Course

Introduction to Python

Data juggler, effortlessly balancing variables to unlock insights.

My Work

Take a look at my latest work.

course

Introduction to R

course

Introduction to Python

course

Intermediate Python

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

Indivumed Therapeutics | May 2023 - Present

Senior Data Scientist

N/A

Indivumed Therapeutics | May 2020 - Apr 2023

Data Scientist

**Projects:** * Quality control of internal multiOMIC datasets * kNN for imputation of missing values * Validation and implementation of bioinformatic tools as docker-based solutions * Orchestration of docker based workflows for custom analysis * Clustering of genes and patients into subgroups * Survival Analysis °Prediction of DNA damage response based on multiOMIC data Technologies/Skills: °Scripting: R/bioconductor, python, bash, snakemake. °Reproducibility & Version control: docker, git °Dimensionality reduction: PCA, tSNE °Unsupervised Learning: hierarchical clustering. kNN. °Supervised Learning: AutoML (JADbio). °Cloud Computing: Amazon Web Services ( Web Interface and aws comand line client ). °Tasks Management: JIRA.
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EMBL | Apr 2018 - Apr 2020

Computational Biologist - Postdoctoral Fellow (EIPOD)

°Collected, analyzed and integrated human RNAseq and ATACseq data of control and schizophrenia cases, in order to define a set of candidate genes for a single-cell CRISPRi screen. °Analyzed the expression of repeat elements in in-vitro human neurons after ectopic stimulation. °Collaborated with other group members to perform differential gene expression, differential chromatin binding and differential repeat element expression analysis. Skills: Bioinformatics, Bash, R, Python, ggplot2, Bioconductor, DESeq2, diffBind, SQuIRE, snakemake.

Springboard | Sep 2017 - Feb 2018

Data Science Fellow

ALS or SVD methods. Also explored factors such as movie- and user- specific biases that can be used to improve rating predictions and recommendations. Relevant courses: Data Scientist with Python (Data Camp); Machine Learning with Python (Data Camp). Skills: Data analysis, visualization and predictive modeling: NumPy,Pandas, SciPy, Scikitlearn. Statistical Methods and Machine Learning: Classification,Regression, Clustering, Hypothesis testing.

Howard Hughes Medical Institute | May 2017 - Feb 2018

Postdoctoral Associate

°Performed automated behavioral experiments to test test the contribution of of specific neurons to reward processing in fruit flies.

Howard Hughes Medical Institute | Jul 2013 - Apr 2017

Graduate Student Researcher

°Developed and characterized a high-throughput optogenetic assay to probe for brain regions involved in reward processing in the fruit fly Drosophila. °Constructed multiple prototypes of behavioral assays. °Designed, performed and recorded behavioral experiments in the fruit fly Drosophila. °Collaborated to implement a MATLAB based pipeline for the quantification of automated behavioral experiments. °Performed automated olfactory conditioning assays to address the rewarding effects of optogenetic neuronal activation. Skills: Animal Behavior: Design and implementation of behavioral arenas. Automated video acquisition and data analysis. Computer programming: Python, MATLAB.

Small Brains & Big Ideas | Nov 2016 - Nov 2016

Teaching Assistant

N/A

The University of Chicago | Mar 2013 - May 2013

Teaching assistant, Neurobiology of Disease

N/A

The University of Chicago | Mar 2013 - May 2013

Teaching Assistant, Physiology

N/A

Pontificia Universidad Católica de Chile | Mar 2009 - Sep 2011

Graduate Researcher (MSc)

Cloned multiple fragments of the RET rat promoter, and used them in a cell- culture reporter gene assay to study the regulatory effect of the transcription factors Nurr1 and Pitx3. Skills: Molecular & Cellular Biology, PCR, QPCR, Clonning, Reporter geneassay, Cell culture, Western blot.

Pontificia Universidad Católica de Chile | Mar 2011 - Jul 2011

Teaching Assistant, Biochemistry & Molecular Genetics

N/A

Pontificia Universidad Católica de Chile | Mar 2011 - Jul 2011

Teaching Assistant, Molecular Pharmacology

N/A

Millennium Nucleus in Stress and Addiction (NEDA) | Sep 2010 - Sep 2010

Teaching Assistant, Workshop “Scientific Basis of Drug Addiction”

N/A

Pontificia Universidad Católica de Chile | Mar 2010 - Jul 2010

Teaching Assistant, Biochemistry & Molecular Genetics

N/A

My Education

Take a look at my formal education

Data Science career track Springboard | 2018
Doctor of Philosophy (PhD), BiologyUniversity of Chicago | 2017
Professional Degree (MSc equivalent), BiochemistryPontificia Universidad Católica de Chile | 2011
Bachelor's degree, BiochemistryPontificia Universidad Católica de Chile | 2009
HHMI-Janelia

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