About

As an enthusiastic Data Scientist at Helmholtz Munich seeking a PhD in Computational Biology, I’ve used my abilities to create a R software for growth curve analysis or use deep learning to forecast diseases. When I’m not crunching data, I’m taking care of my houseplants or improving my knowledge of Python and R. With a strong desire to convert intricate data into practical insights, I’m prepared to take on issues one dataset (and cup of coffee) at a time.

Research Interests

Antimicrobial Resistance: Investigating the mechanisms and spread of resistance in bacterial populations.
Bacterial Growth Curves: Modelling bacterial growth curves using Gaussian Process Regression (GPR) in R to understand and predict growth patterns.
Flow Cytometry and RNA Sequencing: Integrating and analyzing flow cytometry and bacterial RNA sequencing data using optimal transport methods to uncover cellular heterogeneity and gene expression profiles.

Data Science Skills

Statistical Modeling: LM, GLM, PCA, ARIMA, Quantile Regression
Machine Learning: Supervised Learning, Gaussian Process, Optimal Transport
Deep Learning Frameworks: TensorFlow, Keras, PyTorch
Data Analysis: High-Dimensional Data, Time-Series
Risk Analysis and Management: VaR, ARCH/GARCH Models

Programming Languages

R
Python
Matlab
LaTeX

Biostatistics

Research and Scientific Writing
Hypothesis Testing
Longitudinal Data Analysis
Bayesian Methods
Preclinical Studies
Statistical Pitfalls & Interpretation
Open Replicable Science

Software Development

Other Skills

Financial Accounting
Financial Modeling
Econometrics