Data scientist, data engineer, software developer, and chemist with expertise in bioinformatics, computational chemistry, and Open Source development. Strong background in data analysis, machine learning, data visualization and distributed computing, with experience in academia, government, and industry. Proficient in cloud-based systems, scientific computing, and digital transformation and governance initiatives.
English
Jesús Martín Castagnetto, Ph.D., is a data scientist, data engineer, computational chemist, and software developer with expertise in bioinformatics, machine learning, and distributed computing.
He holds a Ph.D. in Chemistry from New York University and has held research and technical roles at institutions such as King Abdullah University of Science and Technology (KAUST, Saudi Arabia), The Scripps Research Institute (TSRI, USA), San Diego Supercomputer Center (SDSC, USA), Universidad de Lima (ULIMA, Peru), and Universidad Peruana Cayetano Heredia (UPCH, Peru).
He has also worked at Consejo Nacional de Ciencia, Tecnología e Innovación (CONCYTEC, Peru), Organismo Nacional de Procesos Electorales (ONPE, Peru), and in international multidisciplinary projects with UPCH, University of Washington (UW, USA), and the World Bank, among others.
His work spans digital transformation, high-performance computing, and data-driven decision-making, with contributions to open-source software and scientific research in structural bioinformatics, biomedical informatics, and computational modeling.
Español
El Doctor en Química Jesús Martín Castagnetto, es un científico de datos, ingeniero de datos, químico computacional y desarrollador de software con experiencia en bioinformática, aprendizaje automático y computación distribuida.
Es doctor en Química por la New York University y ha desempeñado funciones técnicas y de investigación en instituciones como la King Abdullah University of Science and Technology (KAUST, Arabia Saudita), el Scripps Research Institute (TSRI, USA), el San Diego Supercomputer Center (SDSC, USA), la Universidad de Lima (ULIMA, Peru) y la Universidad Peruana Cayetano Heredia (UPCH, Peru).
Ha trabajado también en el Consejo Nacional de Ciencia, Tecnología e Innovación (CONCYTEC, Peru), el Organismo Nacional de Procesos Electorales (ONPE, Peru), y en proyectos internacionales multidisciplinarios con UPCH, University of Washington (UW, USA), y el Banco Mundial, entre otros.
Su trabajo abarca la transformación digital, la computación de alto rendimiento y la toma de decisiones basada en datos, con contribuciones al software de código abierto y a la investigación científica en bioinformática estructural, informática biomédica y modelado computacional.
English
Jesús M. Castagnetto, has a Ph.D. in Chemistry from NYU (1997), worked as a post-doctoral researcher in Structural Bioinformatics at The Scripps Research Institute (1997-2003), and as Data Intensive Applications Expert at the San Diego Supercomputer Center (2003-2004).
In Peru, at UPCH, he has been a professor of Chemistry (2005-2011) as well as the Head of Software R&D and the Head of the Database and AcademicApplications at the IT Office (2007-2015). Later he was the Head of IT for the National Science Council (CONCYTEC, 2015-2017), the Senior Technical Advisor for the Peruvian Electoral Office (ONPE, 2017-2018), and the Innovation Specialist for the IT Office at Universidad de Lima (2019-2021).
After a brief time at KAUST (Saudi Arabia, 2022-2023) as the Data Engineer for Operations and Research Office, he is now working (since 2022) as a technical consultant with the INSIGHT Project in matters of data integration, interoperability, and data governance, management and analysis.
He also has experience with creating, developing, and leading Open Source projects, having been one of the leaders for the PEAR project, and also the co-author of “Professional PHP Programming” in 1999, among others. He has worked as a consultant for various joint international multidisciplinary projects for the development of technological solutions in the Health Informatics/Analysis area.
He also helped the Peruvian government as part of a group of professionals who advised on strategies during the initial part of the COVID-19 pandemic (2020-2021), and has also been a participant of technical workgroups developing regulations geared towards having a more Open Digital Government in Peru for well over a decade.
Español
Jesús M. Castagnetto es doctor en Química por la New York University (1997). Trabajó como investigador postdoctoral en Bioinformática Estructural en el Scripss Research Institute (1997-2003) y como experto en aplicaciones de procesamiento intensivo de datos en el San Diego Supercomputer Center (2003-2004).
En Perú, en la Universidad Peruana Cayetano Heredia (UPCH), fue profesor de Química (2005-2011), jefe de I+D de Software y jefe de Bases de Datos y Aplicaciones Académicas en la Oficina Universitaria de Informática (2007-2015). Posteriormente, fue Jefe de TI del Consejo Nacional de Ciencias (CONCYTEC, 2015-2017), Asesor Técnico Superior de la Oficina Nacional Electoral (ONPE, 2017-2018) y Especialista en Innovación de la Oficina de TI de la Universidad de Lima (2019-2021).
Tras una breve etapa en KAUST (Arabia Saudita, 2022-2023) como Ingeniero de Datos de la Oficina de Operaciones e Investigación, actualmente trabaja (desde 2022) como consultor técnico del Proyecto INSIGHT en temas de integración, interoperabilidad, gobernanza, gestión y análisis de datos.
También cuenta con experiencia en la creación, desarrollo y liderazgo de proyectos de código abierto, habiendo sido uno de los líderes del proyecto PEAR y coautor de “Professional PHP Programming” (1999), entre otros. Ha trabajado como consultor en diversos proyectos internacionales multidisciplinarios conjuntos para el desarrollo de soluciones tecnológicas en el área de Informática y Análisis de la Salud.
También colaboró con el gobierno peruano como parte de un grupo de profesionales que asesoraron sobre estrategias durante la fase inicial de la pandemia de COVID-19 (2020-2021). Asimismo, ha participado en grupos de trabajo técnicos que desarrollaron normativas orientadas a lograr un gobierno digital más abierto en Perú por más de una década.
- Ph.D. in Chemistry, New York University, USA (1997)
- Dissertation: Computational modeling and physical studies of metal-ligand complexes. UMI: No. DA9808357, OCLC No. 79735965, ISBN 0-591-58718-1.
- B.Sc. in Chemistry, Universidad Peruana Cayetano Heredia (UPCH), Peru (1989)
- Thesis: Synthesis and characterization of the 1,2-dithiol-3-thione aromatic system.
Programming & Development
- Languages: R, Python, SQL, Bash, Awk, and others (Java, PHP, JS, etc.)
- Frameworks & Libraries: Tidyverse, TidyModels, Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, Flask, FastAPI
- Web Services: RESTful APIs, XML-RPC, SOAP
- Database Systems: PostgreSQL, DuckDB, MySQL, SQLite, MongoDB, AWS Redshift, Snowflake
- Version Control & DevOps: Git, GitHub, Docker, Kubernetes, CI/CD pipelines
Data Science & Analytics
- Machine Learning & Deep Learning (Supervised & Unsupervised Learning)
- Big Data processing (Spark, Dask)
- Data visualization (Matplotlib, Seaborn, ggplot2, Plotly, Power BI)
Cloud & Distributed Computing
- AWS (EC2, Lambda, S3), Google Cloud, High-Performance Computing (HPC)
- Parallel and distributed computing (MPI, Apache Spark, Grid Computing)
Other Technologies
- Blockchain applications, Digital Government Systems, Secure data sharing
Specialist Consultant, INSIGHT Project University of Washington & UPCH (2022–Present): Led regional trainings in EECA and South America on digital modernization and data interoperability efforts for health surveillance.
Data Engineer & Remote Consultant King Abdullah University of Science and Technology (KAUST), Saudi Arabia (2022–2023): Developed data processing pipelines and data quality control systems for KAUST’s Research Operations Office.
Innovation & Data Analyst Universidad de Lima (2019–2021): Analyzed emerging technologies and promoted digital transformation initiatives. Led business intelligence and data integration efforts.
Senior Technical Advisor National Office of Electoral Processes (ONPE), Peru (2017–2018):
Provided strategic guidance on blockchain, distributed computing, and homomorphic encryption for secure electoral processes.
Information Technology Office Head(a.i.) Information Technology Office Head(a.i.), Consejo Nacional de Ciencia, Tecnologı́a e Innovación Tecnológica (CONCYTEC), Lima, Perú (2015-2017)
Head(a.i.) of Databases and Applications University IT Office, Universidad Peruana Cayetano Heredia, Lima, Perú (2009-2015)
Head of Software Research and Development University IT Office, Universidad Peruana Cayetano Heredia, Lima, Perú (2009-2015)
Professor at the Departamento Académico de Quı́mica Facultad de Ciencias y Filosofı́a, Universidad Peruana Cayetano Heredia, Lima, Perú 2005-2011
Programmer/Analyst III San Diego Supercomputer Center (SDSC), USA (2003–2004): Designed and implemented distributed computing solutions for large-scale bioinformatics and data analysis.
Postdoctoral Research Associate The Scripps Research Institute (1997–2003): Developed the Metalloprotein Database and Browser (MDB) for studying metal-binding sites in proteins.
- Spanish: Native
- English: Advanced/Fluent
Scientific Research:
- Medical Professionalism and Its Association with Dropout Intention in Peruvian Medical Students during the COVID-19 Pandemic. Behavioral Sciences. 2024; 14(8). ISSN 2076-328X. DOI: 10.3390/bs14080641.
- High altitude reduces infection rate of COVID-19 but not case-fatality rate. Respiratory Physiology & Neurobiology. 2020; 281:103494. ISSN 1569-9048. DOI: 10.1016/j.resp.2020.103494.
- Training the Biomedical Informatics Workforce in Latin America. BMJ Open. 2011; 1(2):e000233. DOI: 10.1136/bmjopen-2011-000233.
- PatGen – a consolidated resource for searching genetic patent sequences. Bioinformatics. 2005; 21(8):1707–1708. DOI: 10.1093/bioinformatics/bti202.
- MDB: The Metalloprotein Database and Browser at The Scripps Research Institute – Nucleic Acids Research, 2002; 30(1):379–382. PMID: 11752342
- Absolute configurational assignment of self-organizing asymmetric tripodal ligand-metal complexes. Chirality. 1997; 9(5-6):616–622. DOI: 10.1002/(SICI)1520-636X(1997)9:5/6<616::AID-CHIR32>3.0.CO;2-P.
Book: Co-author of Professional PHP Programming (Wrox Press, 1999), ISBN 1861002963.
Open-Source Contributions: Maintains repositories for bioinformatics, data science, and software engineering projects.