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Laura sudupe medinilla

@laurasudupemedinilla

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Computational biologist with expertise in spatial transcriptomics and data analysis.

Czechia

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What I'm looking for

I am looking for a role that fosters collaboration and innovation in computational biology.

I am a computational biologist with extensive hands-on experience in spatial transcriptomics and single-cell data analysis. My journey has taken me through diverse research environments across Saudi Arabia, Japan, and Europe, allowing me to cultivate a collaborative mindset and adaptability within interdisciplinary teams. Currently, I work at Immunai in Prague, where I contribute to strategic decisions on sequencing platform selection and support the development of a spatial transcriptomics pipeline in collaboration with AstraZeneca.

Previously, I served as a doctoral researcher at KAUST, leading spatial transcriptomics analysis of bone marrow and applying advanced statistical methods to unravel tissue complexity. My research has focused on investigating cell interactions in various biological contexts, utilizing multi-omics approaches to enhance tumor data interpretation. As a visiting researcher in Japan, I explored graph neural networks to analyze complex biological data structures, further enriching my expertise in computational models for biological data analysis.

Experience

Work history, roles, and key accomplishments

Current

Computational Biologist

Current

Immunai

Jan 2025 - Present (8 months)

Collaborated on a cross-functional effort to evaluate sequencing cost-efficiency across providers, contributing to strategic decisions on platform selection. Supported the setup and troubleshooting of a spatial transcriptomics pipeline (Xenium) as part of a collaborative project with AstraZeneca.

Data Analysis Pipeline Development Troubleshooting Documentation

Visiting Researcher

Okinawa Institute of Science and Technology

Aug 2023 - Present (2 years 1 month)

Participated in research on graph neural networks for analyzing complex biological data structures to advance understanding of cellular interactions in disease contexts. Collaborated with interdisciplinary teams, contributing to research on computational models for biological data analysis.

Interdisciplinary Collaboration Research

Doctoral Researcher

KAUST (King Abdullah University of Science and Technology)

Mar 2021 - Present (4 years 6 months)

Led spatial transcriptomics analysis of the bone marrow, applying advanced statistical methods to explore tissue complexity. Investigated cell interactions in healthy and multiple myeloma samples using multi-omics approaches.

Multi omics Statistical Analysis Workflow Optimization

Education

Degrees, certifications, and relevant coursework

UNIR

Master's Degree, Artificial Intelligence

2023 - 2024

Completed a Master's Degree in Artificial Intelligence, gaining expertise in machine learning and data analysis. Applied AI principles to complex problem-solving.

King Abdullah University of Science and Technology

Doctor of Philosophy, Biosciences

2022 - 2024

Undertook doctoral research in Biosciences, focusing on advanced computational biology techniques. Specialized in spatial transcriptomics and single-cell data analysis.

Universitat Oberta de Catalunya

Master's Degree, Bioinformatics and Biostatistics

2020 - 2021

Pursued a Master's Degree in Bioinformatics and Biostatistics, focusing on the application of computational methods to biological data. Developed skills in statistical analysis and data interpretation.

UPV/EHU

Bachelor's Degree, Chemistry

2015 - 2020

Obtained a Bachelor's Degree in Chemistry, building a strong foundation in chemical principles and laboratory techniques. Engaged in scientific inquiry and problem-solving.