RunStrong — Regina Rodriguez

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About Me

Bioinformatics @ UPF Barcelona Runner Python / R

                            while studying:

                              analyze("proteins")

                              run("Barcelona")

                              repeat() 🏃‍♀️

Regina Rodriguez Durant Reyes

I studied Biotechnology Engineering and now I'm doing a Master in Bioinformatics and Health Sciences at UPF in Barcelona. Somewhere along the way I fell in love with the computational side, protein structures, binding site prediction, machine learning applied to biology. Most of my days involve Python, R, PDB files, and way too many terminal windows.

Right now I'm working on things like ligand binding pocket detection and clinical data modeling, problems that sit right at the intersection of biology and data, which is exactly where I want to be.

But when I close the laptop, I run.

No algorithms, no models, no debugging. Just Barcelona at 7am, before the city wakes up. Running keeps me sane. It's the one thing that I do to disconnect from everything.

This site is where I track both worlds, the science and the kilometers. Because training a model and training for a race take the same thing: showing up every day.

Bioinformatics Projects

Academic and personal projects from my Bioinformatics degree at UPF.

ClustalOmega Web App

✓ Completed

Web application to perform multiple sequence alignment. Supports FASTA, UniProt IDs, and PDB IDs. Runs on the UPF course server with output formatting.

PHPClustalOmegaFASTASSH

View on Server

Clinical Trials Database

✓ Completed

Relational database design built in MySQL for a hospital clinical trials support service. Features pseudonymized participant management with auto-generated IDs, longitudinal data collection across visits, dynamic per-study variable definitions, and multi-role user access scoped per trial.

MySQL Data Modeling ERD Clinical Data GDPR

View ER Diagram Download Model

Magnifier Analysis Platform

✓ Completed

Magnifier automates a four-stage bioinformatics workflow by allowing users to manage genomic projects through a web interface. Once gene expression and VCF datasets are uploaded, the system triggers an asynchronous pipeline that sequentially executes Differential Expression Analysis (DEA), Variant Effect Prediction (VEP), and Data Integration to generate a final contingency table. This background architecture ensures a responsive experience, allowing users to monitor progress in real time and download results as soon as they are finalized.

Python Flask SQLAlchemy SQLite REST API Google OAuth uWSGI

Open App

Protein Ligand Binding Predictor

✓ Completed

A geometry driven pipeline that identifies and ranks potential ligand binding pockets directly from protein PDB files. Uses surface depth, curvature and DBSCAN clustering.

PythonBioPythonscikit-learnPyMOL

View on GitHub

Data Management & Integration

✓ Completed

Assignment for the DMI course at UPF. Covers data wrangling, integration and analysis workflows using R Markdown for complex biological datasets.

RR MarkdownData WranglingUPF

View on GitHub

My Routes

Click on a marker to see details, or browse the table below.

All My Routes

Route	Zone	Distance	Elevation	Difficulty	Terrain	Best Time
Passeig Marítim	Barceloneta	8.2 km	10 m	Easy	Asphalt / Beach	Early morning
Montjuïc Loop	Montjuïc	11.0 km	180 m	Hard	Road / Trail	Morning / evening
Parc de la Ciutadella	Eixample	4.5 km	5 m	Easy	Paved paths	Weekday mornings
Carretera de les Aigües	Collserola	9.0 km	120 m	Medium	Gravel / Trail	Any time
Park Güell Climb	Gràcia	6.8 km	135 m	Medium	Street / Steps	Early morning
Sagrada Família Loop	Eixample	7.5 km	15 m	Easy	Wide avenues	Sunrise

Route	Zone	Distance	Elevation	Difficulty	Terrain	Best Time
Parque del Arte – Parque Lineal	Poniente	16.0 km	80 m	Medium	Cycle path / Asphalt	Early morning
Cerro Zapotecas	San Pedro Cholula	7.5 km	200 m	Hard	Volcanic trail	Sunrise
Pirámide de Cholula Loop	Cholula	6.0 km	30 m	Easy	Paved / Grass	Sunrise
Centro Histórico Run	Centro	5.0 km	15 m	Easy	Colonial streets	Very early

Progress Tracker

Weekly running distance, workouts and calories tracked over time.

Weekly Running Distance (km)

Calories by Activity

Workout Log

Week	Date	Activity	Distance (km)	Duration (min)	Calories	Mood
Week 1	Jan 6	Easy Run	5.2	32	310	😊 Great
Week 1	Jan 8	Strength	—	45	280	💪 Strong
Week 1	Jan 10	Long Run	10.1	64	580	😄 Excellent
Week 2	Jan 13	Interval Run	6.5	40	420	🔥 Energized
Week 2	Jan 15	Yoga	—	60	180	🧘 Calm
Week 2	Jan 17	Long Run	12.3	75	680	😊 Great
Week 3	Jan 20	Easy Run	5.8	35	330	😴 Tired
Week 3	Jan 22	Strength	—	50	310	💪 Strong
Week 3	Jan 24	Long Run	14.0	88	760	😄 Excellent
Week 4	Jan 27	Tempo Run	8.0	46	510	🔥 Energized
Week 4	Jan 29	Strength	—	55	340	💪 Strong
Week 4	Jan 31	Long Run	16.5	102	890	😊 Great