Ignacio Segovia-Dominguez

Ignacio Segovia-Dominguez

Visiting Scientist / Postdoctoral Research Associate

NASA JPL Caltech / University of Texas at Dallas (Mathematical Sciences)


Ignacio Segovia-Dominguez is currently a visiting scientist at NASA JPL Caltech and postdoctoral research fellow at the University of Texas at Dallas, developing novel methods for modelling and predicting dynamics of infectious diseases such as COVID-19, as well as for other applications. He participates in a number of collaborative research projects with UoManitoba/Canada, CIMAT/Mexico, Portland State University, University at Buffalo, Caltech, Agriculture/Agri-food Canada, RTI and NASA Jet Propulsion Laboratory.

His research interests include topological and geometric methods in statistics and machine learning, analysis of complex dynamic networks, and evolutionary computation. Dr. Ignacio Segovia-Dominguez received his master’s and doctoral degrees from the Department of Computer Science at the Center for Research in Mathematics (CIMAT) in Guanajuato, Mexico. Additionally, his broader research agenda spans machine learning, optimization, and statistical foundations of data science.


  • Topological Machine Learning
  • Time Series Analysis; Dynamic Networks
  • Climate Informatics; Healthcare Predictive Analytics
  • Numerical Optimization; Evolutionary Computation


  • Ph.D. in Computer Science, 2015/Dec

    Center for Research in Mathematics, Mexico

  • M.S. in Computer Sci. & Industrial Mathematics, 2010/Dec

    Center for Research in Mathematics, Mexico

  • B.S. in Computational Systems Engineering, 2008/Oct

    Instituto Tecnológico de Cancún, Mexico

Recent News

All news»

MEDIA APPEARANCE The Dallas Morning News, Telemundo Houston and NBC 5

March, 2022 Co-director of the new TIES Webinar Series, a joint effort with The International Environmetrics Society.

February, 2022 Multiple papers and grant proposal submissions.

January, 2022 Distinction, SNI 1.

January, 2022. We got a spotlight in the International Conference on Learning Representations, a pre-published version is already available in openreview, acceptance rate of spotlights is 5% !

January, 2022 Honorable mention for the Best Student Paper Award from the ASA Risk Analysis Section. Congratulations Zhiwei Zhen!

January, 2022 New accepted paper in the 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-22).

December, 2021 We got a NASA R&TD ISCP grant to apply Multiparameter Persistence in Multi-Resolution Satellite Observations.

Grants, Awards and Scholarships

2022 NASA R&TD ISCP. Project: Detecting Wildfire Plumes in Multi-Resolution Satellite Observations via Deep Multiparameter Persistence Learning. (Collaborator with Huikyo Lee, NASA JPL, Yulia R. Gel, UT Dallas, and Baris Coskunuzer).

2020–2021 NASA 20-RRNES20-0021. Rapid Response and Novel Research in Earth Science: Forecasting COVID-19 progression and the next hotspot: Do weather conditions and air quality impact COVID-19 transmission rates and clinical severity? (Collaborator with Michael J. Garay, Krzysztof M. Gorski, Huikyo Lee, NASA JPL and Yulia R. Gel, UT Dallas).

TIES President Appreciation Award. Given award by Lelys Bravo de Guenni, President of The International Environmetrics Society.

Postdoctoral Scholar. 2019 and 2020 ConTex Postdoctoral Fellowship Award: Surveillance and Prediction of Infectious Diseases via Modern Statistical Approaches on Multisources Information.

Honorary Guest Distinction. Data Science Speciality department, Universidad Ricardo Palma, Peru.

Postdoctoral Fellow. Research grant on Basic Science: Geometry of Manifods with Special Structure. PI: Rafael Herrera-Guzman.

PhD Scholarship Award. Mexican National Council for Science and Technology (CONACyT). Center for Research in Mathematics (CIMAT). Advisor: Arturo Hernanez-Aguirre Thesis: Building Multivariate Densities for Simulating Samples in Promising Search Regions.

Master’s Scholarship Award. Mexican National Council for Science and Technology (CONACyT). Center for Research in Mathematics (CIMAT). Advisor: Arturo Hernanez-Aguirre Thesis: Global Optimisation by using a Gaussian Poly-Tree.

Profesional Experience


Visiting Scientist

NASA JPL Caltech

Nov 2020 – Present Pasadena, California, U.S.

Postdoctoral Research Associate

University of Texas at Dallas

Nov 2019 – Present Dallas, Texas, U.S.

Postdoctoral Fellow

Center for Research in Mathematics, A.C.

Feb 2018 – Oct 2019 Guanajuato, México

Assistant Professor

National Technological Institute of Mexico - Campus ITESG

Aug 2015 – Jul 2017 Guanajuato, México


University of Guanajuato

Aug 2015 – Dec 2015 Guanajuato, México



Publications. Access my complete list of publications via Researchgate, DBLP and Google Scholar.

Memberships. Member of various associations and research networks; e.g. American Statistical Association (ASA), Association for Computing Machinery, Mexican Mathematical Society (SMM), Applied Algebraic Topology Research Network (AATRN), Advancing Earth and Space Science (AGU) etc. Reviewer for Journals and Conferences; e.g. IEEE-TR, CSDA, ACM-TSAS, IEEE-TASE, ACM-GECCO, CPC, etc.


  • 972-883-2111
  • 800 W. Campbell Road, Richardson/Dallas, TX 75080-3021
  • Mathematical Sciences department
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