Welcome to my Portfolio
Hi, I’m Salomon. I’m an applied data and machine learning professional working at the intersection of bioinformatics, health research, and software engineering.
I bring over a decade of experience in academic research and technical communication, combined with hands-on work in data analysis, machine learning, and bioinformatics. My background spans academia and industry, where I’ve led and contributed to projects involving statistical modeling, transcriptomic analysis, and the development of reproducible data pipelines.
My current work focuses on applying machine learning and data-driven methods to bioinformatics and health research, with an emphasis on generating actionable insights from real-world and biomedical data.
Education
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Bioinformatics and Biostatistics Master's Degree (2025 – 2026)
University of Barcelona (UB) and Universitat Oberta of Catalunya (UOC). Integrative Analysis of Differential Gene Expression, Transcript Usage, and RNA Secondary Structure in Early- and Late-Onset Colorectal Cancer -
Ph.D. in Electronics Engineering (2011-2016)
Catalan Institute of Nanoscience and Nanotechnology, Autonomous University of Barcelona, Spain
Array of microfluidic beam resonators for mass sensing applications : design, fabrication and testing -
M.S. in Electrical Engineering (2008-2010)
Center for Research and Advanced Studies of the National Polytechnic Institute (CINVESTAV-IPN), Mexico -
Student Exchange (Spring 2007)
West Virginia University, Morgantown, WV
Courses: Digital Image Processing, Antennas, Information Theory, Neuromorphic Analog VLSI -
B.S. in Communications and Electronics Engineering (2002-2008)
University of Guanajuato, Mexico
Certifications
- Hello Nextflow Training Week by Nextflow.
Certificate's link, June 2025. - Machine Learning Specialization by Coursera (Stanford University & DeepLearning.AI).
Credential ID:IDURPJ8T83YU, Dec 2024. - Genómica en la Práctica Clínica y en la Investigación Biomédica by CIMA University of Navarra.
Certificate's link, Nov 2024. - Introduction to Genomic Technologies by Coursera (Johns Hopkins University).
Credential ID:DWOKJIWQU6QB, Aug 2024. - DNA Decoded by Coursera (McMaster University).
Credential ID:XSDBE3B6DYRV, Jul 2024. - Feature Engineering by Kaggle.
Certificate's link, Jul 2024. - Análisis de datos con R: Introducción y estadística básica by Navarrabiomed and University of Navarra.
Certificate's link, May 2024. - Introducción al análisis de datos ómicos transcriptómica by Navarrabiomed and University of Navarra.
Certificate's link, May 2024. - Improving Deep Neural Networks by Coursera (Stanford University & DeepLearning.AI).
Credential ID:STXS68SE9XFG, Apr 2024. - AWS Cloud Practitioner by Amazon Web Services (AWS).
Credential ID:fa219cd5-5450-4123-a264-9ffa254c7e5a, Apr 2024. - Neural Networks and Deep Learning by Coursera (Stanford University & DeepLearning.AI).
Credential ID:V5MFW67VBL8E, Aug 2023. - GCP Associate Cloud Engineer by Google Cloud.
Credential ID:85247f1da3e14987b6aa1b020f86d8cf, Oct 2022. - Data Engineering Nanodegree by Udacity.
Credential ID:GJQ6XA9K, Jul 2021.
Open Source Contributions
- TimeCopilot: the GenAI Forecasting Agent
Supporting the documentation of the project. - Deploy Airbyte on Azure | Airbyte
Created a guide to deploying Airbyte on a Microsoft Azure VM. - WizelineLabs | Wizeline
Created a repository containing documentation and licenses that served as a template to generate new open source projects at Wizeline. - GitWize | Wizeline
GitWize is an AWS cloud-based application that allows you to extract valuable insights and metrics from a single GitHub repository using git commit logs. I led the documentation strategy of this project.
Mentorship
- Bachelor of Biomedical Engineering of University of Guanajuato, Mexico (2020).
Thesis: “Dispositivo microfluídico para enfoque hidrodinámico de partículas” by Rocio Lizbeth Olmos Ramírez - Bachelor of Biomedical Engineering of University of Guanajuato, Mexico (2019).
Thesis: “Caracterización y Estudio de la Biocompatibilidad de Dispositivos Microfluídicos Fabricados por Estereolitografía 3D” by Osmar Moreno Rivas
Relevant Publications
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Liliana Badillo and Salomon Marquez,
“A Journey Through Kaggle Text Data Competitions From 2021 to 2023” written for the 2023 Kaggle AI Report Competition.
(2023) -
Monserrat del C Alonso-Murias, David Monzón-Hernández, Alfredo Maria Gravagnuolo, Salomón Marquez, Paola Giardina and Eden Morales-Narváez,
“Graphene oxide biohybrid layer enhances sensitivity and anticorrosive properties in refractive index sensor” J. Phys. Photonics 3 034009
(2021) -
Salomon Marquez, Jie Liu, Eden Morales-Narvaez,
“Paper-based analytical devices in environmental applications and their integration with portable technologies” Current Opinion in Environmental Science & Health, vol. 10, pp. 1-8.
(2019) -
V. Solis-Tinoco, S. Marquez, T. Quesada-Lopez, F. Villarroya, A. Homs-Corbera, and L. M. Lechuga,
“Building of a flexible microfluidic plasmo-nanomechanical biosensor for live cell analysis” Sensors and Actuators B: Chemical, vol. 291, pp. 48–57.
(2019) -
S. Marquez and E. Morales-Narváez,
“Nanoplasmonics in Paper-Based Analytical Devices” Front. Bioeng. Biotechnol., vol. 7.
(2019) -
S. Marquez, M. Alvarez, J.A. Plaza, L.G. Villanueva, C. Dominguez, y L.M. Lechuga.
“Asymmetrically coupled resonators for mass sensing” Appl. Phys. Lett. Volumen 11, no. 11, pages: 113101.
(2017) -
S. Marquez, M. Alvarez, D. Fariña, A Homs-Corbera, C. Dominguez and L. M. Lechuga.
"Array of microfluidic beam resonators for density and viscosity analysis of liquids" IEEE Journal of Microelectromechanical Systems. DOI: 10.1109/JMEMS.2017.2709944.
(2017) -
V. Solis-Tinoco, S. Marquez, B. Sepulveda y L.M. Lechuga.
“Fabrication of well-ordered silicon nanopillars embedded in a microchannel via metal-assisted chemical etching: a route towards and opto-mechanical biosensor” in RSC Advances. Volume 6, Pages: 85666-85674.
(2016) -
D. Fariña, M. Álvarez, S. Márquez, C. Dominguez, and L. M. Lechuga
“Out-of-plane single-mode photonic microcantilevers for integrated nanomechanical sensing platform” in Sensors and Actuators B: Chemical. Volume: 232, Pages: 60-67.
(2016) -
D. Fariña, M. Álvarez, S. Márquez, C. Dominguez, and L. M. Lechuga.
“Sensitivity analysis for improving nanomechanical photonic transducers biosensors” in Journal of Physics D: Applied Physics. Volume: 48(33), Pages: 335401.
(2015)
Proceedings
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O. Moreno-Rivas, D. Hernández-Velázquez, V. Piazza, and S. Marquez,
“Rapid prototyping of microfluidic devices by SL 3D printing and their biocompatibility study for cell culturing” Materials Today: Proceedings, vol. 13, pp. 436–445.
(2019) -
S. Marquez, M. Alvarez, D. Fariña, C. Dominguez and L. M. Lechuga.
"Simulation and characterization of hollow microbridge resonators for label-free biosensing" Proc. SPIE 9518, Bio-MEMS and Medical Microdevices II, 95180U; doi:10.1117/12.2178981.
(2015) -
S. Marquez, M. Alvarez, D. Farina, C. Dominguez, and L. M. Lechuga, “Towards a biosensing multiple platform based on an array of hollow microbridge resonators” in IEEE SENSORS, ISBN: 978-1-4799-0162-3, pp. 329–331.
(2014) -
S. Marquez, L. Leija and A. Vera. “Influence of Temperature Variations on the Average Grayscale of B-mode Images of HIFU-Induced Lesions” in 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), ISBN: 978-1-4244-4123-5.
(2010) -
S. Marquez, L. Leija and A. Vera. “Characterization of ultrasound images of HIFU-induced lesions by extraction of its morphological properties”, 2010 7th International Conference on Electrical Engineering Computing Science and Automatic Control (CCE), ISBN: 978-1-4244-7314-4.
(2010)