< Sergio Ruiz Carmona

I'm Sergio. Clinical Data Analyst at the Centre for Health Analytics, in Melbourne's Royal Children's Hospital.

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About Me

I work as a Clinical Data Analyst, uncovering insights to drive informed decision-making. Proficient in extracting Epic EMR records using SQL, I specialize in analyzing and visualizing data using R and Power BI. With a deep understanding of clinical data and a research background, I bring a unique perspective to optimizing healthcare outcomes.

Since January 2019, I was a Senior Research Officer and Bioinformatician in the Baker Institute, in Melbourne. I enjoyed studying heart diseases and how physical activity and other factors could help us live longer and better.
I carried out my MSc and PhD in Barcelona (Barril Lab), where I worked with different structure-based drug design methods with the aim to improve drug design for non-standard targets. Mainly, I was involved in the development and application of virtual screening approaches using molecular docking and other complementary methods.
After finishing my PhD in 2017, I stayed in the same lab performing different collaborative projects in the field of epigenetics and cancer, with the aim of finding bioactive compounds targeting “undruggable” proteins.

I also carried out two short stays in the labs of Dr Andreas Bender (Cambridge, UK) and Dr Peter Kolb (Marburg, Germany), where I learnt about genomics and other computational methods.

I am currently established in Melbourne.

Selected Projects

Dynamic Undocking

Dynamic Undocking (DUck) is a new fast computational method that evaluates structural stability by calculating the work necessary to break the most important native contacts (hydrogen bonds) in a ligand-receptor complex. This property is effective in distinguishing true ligands from decoys and is orthogonal to currently existing docking methods, thus making it exceptionally useful in virtual screening.

rDock Docking

rDock is a fast and versatile Open Source docking program that can be used to dock small molecules against proteins and nucleic acids. It is designed for High Throughput Virtual Screening (HTVS) campaigns and Binding Mode prediction studies.
It is mainly written in C++ and accessory scripts and programs are written in C++, perl or python languages.

Postdoctoral Researcher at Xavier Barril Lab
EMBO and MuTaLig Short Term Fellowships
Short-term fellow at Bender and Kolb Labs
A/Prof with classes in Pharmacy and Nutrition degrees
PhD candidate at Xavier Barril Lab