Bucharest, Romania • ichim.iulian12 [~at~] gmail.com
Bioinformatics developer and data analyst with a background in biomedical engineering, computational genomics, and pharmacokinetic modeling. I build tools that bridge R-based bioinformatics workflows with Python ecosystems — from Galaxy platform wrappers to genomic file format parsers to compartmental models for drug concentration estimation.
I have hands-on experience developing bioinformatics tooling at the Ziemann Lab (Deakin University / Burnet Institute), where I built a Python Galaxy wrapper and package for the DEE2 RNA-seq data repository, and at Oak Bioinformatics LLC, where I developed genomic file format parsers and annotation pipeline modules for the OakVar platform.
I have a strong interest in quantitative systems pharmacology (QSP) and PK-PD modeling — particularly ODE-based compartmental modeling of ADME dynamics — and independently develop PK-PD simulation tools in Python. My undergraduate background at Grigore T. Popa University spans wet-lab techniques, biosignal processing, and Bio-MEMS prototyping. Seeking opportunities in bioinformatics, computational biology, or QSP/PK-PD modeling.
Python Galaxy wrapper and standalone package for the getDEE2 R library, enabling programmatic access to the DEE2 repository of uniformly processed RNA-seq data across 9+ species. Bridges R and Python via rpy2, converting SummarizedExperiment objects to pandas DataFrames. Supports CLI usage, Galaxy platform integration, and TSV export for downstream statistical analysis. Technologies: Python, R, rpy2, pandas, Galaxy Platform, XML, Nginx.
Pharmacokinetic modeling tools implementing one- and two-compartment models for estimating blood and tissue concentrations of bioactive compounds over time. Features ODE-based simulation of absorption, distribution, and elimination kinetics using SciPy, with support for multi-compound interaction modeling, dosing schedule optimization, and calibration against laboratory results. Technologies: Python, SciPy, NumPy, Flask, React.
RNA-seq data analysis, genomic file formats (MAF, GVF/GFF3), Galaxy Platform, OakVar, rpy2, Bioconductor, variant annotation, biosignal processing (EEG, EKG, EMG).
One- and two-compartment PK-PD modeling, ODE-based simulation of ADME dynamics (SciPy), multi-compound interaction modeling, dosing schedule optimization, quantitative systems pharmacology (QSP), calibration against laboratory data.
Python (primary) — bioinformatics tooling, Flask web development, data pipelines, scripting. R — statistical analysis, Bioconductor, data analysis workflows. JavaScript / React — front-end development. C/C++ — microcontroller programming. SQL — SQLite, MySQL, PostgreSQL.
pandas, NumPy, SciPy, matplotlib, Plotly, statistical analysis, ETL pipelines, data visualization, Google Apps Script.
Linux (Ubuntu), Nginx, VPS administration, cPanel, Git / GitHub, Arduino / microcontrollers, Capacitor (mobile).
English — C1, CAE Cambridge. Romanian — Native.
Experience coordinating and leading teams through volunteer work — motivating people, identifying strengths, and organizing towards shared goals (Bioengineering Students Association, Coordinator → President, 2015–2018).
Awarded for the development of a Device for the controlled administration of drugs in topical conditions.