J. Emmanuel Johnson is a 4th year PhD student at the Universitat of Valencia under the tutelage of Dr. Valero Laparra and Dr. Gustau Camps-Valls. During my time here, he’s worked with derivatives of kernel methods; in particular regression models. Applications of this include propagation input error in Gaussian process (GP) regression models and input sensitivity analysis of radiative transfer model emulators using GPs. He’s also been working closely with RBIG (an information theoretic-based approach for density estimation) and worked on some experiments regarding IT measures. Some applications from this include spatial-temporal analysis of Earth science data, related to Normalizing flows, and drought detection. His future goals are to continue to develop and apply new methods with methods involving uncertainty, interpretability and exploratory data analysis. And he would like to really focus on the applied section on problems related to climate, the ocean, and possibly the medical. I also really like coding. So I’m always looking at new packages and trying a few out myself.


  • Uncertainty Quantification
  • Gaussian Processes
  • Normalizing Flows
  • Information Theory
  • Oceanography
  • Climate


  • PhD in Electrical Engineering (Candidate), 2021

    Universitat de Valencia

  • MS in Computational and Applied Mathematics, 2016

    Rochester Institute of Technology

  • BS in Mathematical Sciences, 2013

    Florida Institute of Technology

  • BS in Physical Oceanography, 2013

    Florida Institute of Technology




Machine Learning




Fronter Development Lab Intern

Frontier Development Laboratory

Jun 2020 – Aug 2020 Virtual
I was the machine learning expert intern on a team interested in modeling sunspots on distance stars. I implemented the machine learning infrastructure for the project and also the Bayesian methodologies to characterize the uncertainties. This is in conjunction with NASA for providing the data and Google Cloud Platform for providing the computational resources.

Image Science Intern

UTC AeroSpace Systems

Jul 2016 – Dec 2016 Westford, MA, USA
I looked at edge detection schemes for image quality assessment applications. I also worked on software development for post-processing and visualization of LiDAR data.

Graduate Teacher Assistance

Rochester Institute of Technology

Aug 2013 – Jun 2016 Rochester, NY, USA
TI overseed labs/workshops for four calculus sections and assist the students with any questions they may have about their assignments. Graded student homeworks, quizzes and/or in-class assignments based off of completion and/or performance.

Desktop Support Field Technician

Florida Institute of Technology

Sep 2011 – Apr 2013 Melbourne, FL, USA
I was a primary contact for troubleshooting computer related software and hardware issues over the phone and in person. I also would go on-site to fix printers, computers and network-related issues in addition to repairing malfunctioning computers for university faculty and staff.

ABA Support Video Production Assistant

Florida Institute of Technology

Oct 2009 – Jan 2011 Melbourne, FL, USA
I was a technician who helped online students with issues revolving around them accessing their online classes. I also assisted with video recording, video editing, video processing and publishing of prerecorded lectures from teachers to be uploaded to the University Online system.

Recent Posts


Research Journal

A Journal of my exploits as I go through my PhD program.

Bayesian Neural Networks Working Group

I lead a working group where we explore Bayesian Neural Networks from an applied perspective.

Gaussian Processes Model Zoo

I do an extensive literature review and software overview for Gaussian Processes through the ages.


Information Theory in Density Destructors

Information theory measures using RBIG.
Information Theory in Density Destructors

Recent & Upcoming Talks

Gaussianizing the Earth: An Information Theoretic Perspective