Sonatafy Nearshore Software Development

Data Scientist

Candidate CV

Data Scientis Summary

Modeling dynamic biological systems, developing, and optimizing algorithms, designing and implementing computational tools for the study of biological networks.

Books Publications

  • 1. Weinstein, Nathan, Luis Mendoza, and Elena R. Álvarez-Buylla (2020). “A Computational Model of the Endothelial to Mesenchymal Transition.” Frontiers in genetics 11 40.
  • 2. Weinstein, Nathan, Mendoza, Luis, Gitler, IIsidoro, and Klapp, Jaime (2017). A network model to explore the effect of the micro-environment on endothelial cell behavior during angiogenesis. Frontiers in Physiology, 8, 960.
  • 3. Azpeitia, Eugenio, Stalin Muñoz, Daniel González-Tokman, Mariana Esther Martínez-Sánchez, Nathan Weinstein, Aurélien Naldi, Elena R. Álvarez-Buylla, David A. Rosenblueth, and Luis Mendoza (2017). “The combination of the functionalities of feedback circuits is determinant for the attractors’ number and size in pathway-like Boolean networks.” Scientific Reports 7: 42023.
  • 4. Weinstein, Nathan, Elizabeth Ortiz-Gutiérrez, Stalin Muñoz, David A. Rosenblueth, Elena R. Álvarez-Buylla, and Luis Mendoza (2015). “A model of the regulatory network involved in the control of the cell cycle and cell differentiation in the Caenorhabditis elegans vulva.” BMC bioinformatics 16, no. 1: 1.
  • 5. Weinstein, Nathan, and Luis Mendoza (2013). “A network model for the specification of vulval precursor cells and cell fusion control in Caenorhabditis elegans.” Frontiers in genetics 4: 112.
  • 6. Azpeitia, Eugenio, Nathan Weinstein, Mariana Benítez, Luis Mendoza, and Elena R. Alvarez-Buylla (2014). “Finding missing interactions of the Arabidopsis thaliana root stem cell niche gene regulatory network.” Root systems biology: 97.
  • 7. Weinstein, Nathan, Alejandro Aviles, Isidoro Gitler, and Jaime Klapp (2016). “Computational Simulation of the Hemodynamic Behavior of a Blood Vessel Network.” In Latin American High-Performance Computing Conference, pp. 279–288. Springer, Cham.
  • 8. Weinstein, Nathan, and Benjamin Podbilewicz (2016). “Organogenesis of the C. elegans Vulva and Control of Cell Fusion.” In Organogenetic Gene Networks, pp. 9-56. Springer International Publishing.
  • 9. Weinstein, Nathan, Karla Gisela Pedroza-Ríos, Edgar Nathal, Leonardo Di G. Sigalotti, Isidoro Gitler, and Jaime Klapp (2015). “Modeling the Blood Vessels of the Brain.” In International Conference on Supercomputing, pp. 535- 554. Springer International Publishing.
  • 10. Azpeitia, Eugenio, Nathan Weinstein, Mariana Benítez, Elena R. Alvarez-Buylla, and Luis Mendoza (2013). “Finding
    Missing Interactions in Gene Regulatory Networks Using Boolean Models.” In Proceedings of the European Conference on Complex Systems 2012, pp. 543-551. Springer International Publishing.
  • 11. Weinstein, Nathan, and Luis Mendoza (2012). “Building qualitative models of plant regulatory networks with SQUAD.” Frontiers in plant science 3: 72.

Post-Doctoral Researcher – April 2018 – March 2021


  • Modeling endothelial cell behavior during vasculogenesis, angiogenesis, and arteriogenesis. Modeling brain hemodynamics and studying brain arterial malformations.
  • ABACUS Centro de Matemáticas Aplicadas, CINVESTAV-IPN, Estado de México, Mexico

Post-Doctoral Researcher

August 2015 – March 2018


  • Modeling endothelial cell behavior during vasculogenesis, angiogenesis, and arteriogenesis. Modeling brain hemodynamics and studying brain arterial malformations.
  • MolySym, Inc., Cambridge, MA

Software Development Consultant

June 2008 – October 2008


  • Developed implemented and debugged a data visualization application using Microsoft XNA.

Web Programming Instructor

September 2007 – December 2007



  • Taught basic computer science, computer architecture, networks, HTML
    and PHP.
  • Computer Science Tutor, 09/2005-01/2008 Assisted and tutored students in C and C++ software development.

The Sonatafy Advantage The Sonatafy Advantage

The Company’s software service offerings are widely recognized as “best of breed”, targeting enterprises ranging from Small to Medium Sized businesses through Fortune 500 companies to better help:

  • Maximize the entire software development life-cycle investment
  • Executives and managers trust the development process, which helps reduce micromanagement, allowing increased focus on day-to-day business decisions

What makes Sonatafy unique?

  • US based management providing thought leadership, oversight and consulting
  • Speed of proposals and solution delivery
  • Low employee attrition rate <7%
  • Operating history and marquee clients
  • Proven recruiting and screening systems/processes
  • Align solution to client needs
  • Ongoing management / oversight of career growth and continued education for placed resources, which is unique in our industry
  • We offer comprehensive code audits

While Sonatafy works well in any industry, the Company has achieved significant traction and domain expertise in several high-profile sectors such as:

  • Healthcare, Financial Services, Software Services, SaaS and Consumer Products

The Sonatafy Advantage Why Choose Sonatafy

Voted #1 Most Trusted US-Based Nearshore Software Company of 2020, Sonatafy provides access to the TOP 1% of Software Development resources in Latin America.

With Sonatafy, you $25 to $63 per hour for Top-Tier Software Development Talent! Sonatafy's Talent Acquisition can place qualified engineers in as quick as two weeks, guaranteeing you best-in-class service.

Our Developers Engineers:

Highly qualified, top tier talent

Proficient English-speaking, affordable

Resources placed to match your time zone

Sonatafy can AUDIT, VISUALIZE, TRANSFORM, VERIFY, and MAINTAIN your complete development lifecycle. For more information on securing our Development Engineers, check out our case studies or contact us today.

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