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 Jet Propulsion Laboratory, Caltech, and a postdoctoral research fellow at the University of Texas at Dallas, developing novel methods to model and predict behaviours of time evolving objects, e.g. dynamic networks, with applications to infectious diseases, e.g. COVID-19, transportation, wildfires, and other related topics. He participates in a number of collaborative research projects with UoManitoba/Canada, CIMAT/Mexico, Princeton University, Portland State University, TecNM/Mexico, University at Buffalo, Temple University, University of North Carolina, Agriculture/Agri-food Canada, and NASA Jet Propulsion Laboratory.

His research interests include topological and geometric methods in statistics and machine learning, analysis of complex dynamic networks, evolutionary computation, and computational statistics. 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
  • Computational Statistics
  • 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 Telemundo Houston, NBC 5 and The Dallas Morning News

Visit our Environmetrics Webinar Series I am founding co-organizer of the TIES Webinar Series on Data Science for Environmental Sciences (DSES).

October, 2022 New accepted paper, titled “Learning on Health Fairness and Environmental Justice via Interactive Visualization”, in the IEEE International Conference on BigData 2022.

October, 2022 Poster presentation in the ENVR 2022 Workshop: Environmental and Ecological Research with Societal Impacts at Provo, UT.

October, 2022 Plenary talk in the 5th International Conference on Mathematical Modelling, virtual, at Oaxaca, Mexico; many thanks to the organizers!

October, 2022 New accepted paper in the 36th Conference on Neural Information Processing Systems (NeurIPS-2022). ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery

September, 2022 Member of the SpatialEpi’22 program committee, 3rd ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology.

August, 2022 New Journal Paper. Prediction of microbial growth via the hyperconic neural network approach. Chemical Engineering Research and Design.

July, 2022 Round table in the Summer Research School at the CIMAT.

June, 2022 New published paper in the 32nd European Symposium on Computer Aided Process Engineering (ESCAPE32). In “Hyperconic Machine Learning to Predict Microbial Growth”, we introduce ML to predict microbial growth.

June, 2022 Seminar talk in the department of Operations Research at the Naval Postgraduate School.

May, 2022 Poster presentation in the 2022 AMPS WORKSHOP at the George Mason University.

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

Visiting 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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