Jose Guadalupe Hernandez, Phd

Jose Guadalupe Hernandez, Phd Email and Phone Number

Postdoctoral Scientist @ Cedars-Sinai Department of Computational Biomedicine| Michigan State University Alumni | Co-Founder at HealthOpX @ Cedars-Sinai
Jose Guadalupe Hernandez, Phd's Location
Los Angeles, California, United States, United States
About Jose Guadalupe Hernandez, Phd

I received my dual PhD in computer science & ecology, evolution, and behavior from Michigan State University. My research interests involve evolutionary computation, evolutionary algorithms, and machine learning. Specifically, I am interested in using evolutionary algorithms to solve different problems and improve existing machine learning techniques.I am also a Co-Founder of HealthOpX, where our goal is to reach at-risk patients by partnering with community-based organizations, hospitals, and health insurers to engage and improve their health.

Jose Guadalupe Hernandez, Phd's Current Company Details
Cedars-Sinai

Cedars-Sinai

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Postdoctoral Scientist @ Cedars-Sinai Department of Computational Biomedicine| Michigan State University Alumni | Co-Founder at HealthOpX
Jose Guadalupe Hernandez, Phd Work Experience Details
  • Cedars-Sinai
    Postdoctoral Scientist
    Cedars-Sinai Jul 2023 - Present
    Los Angeles, Ca, Us
  • Healthopx
    Co-Founder
    Healthopx May 2018 - Present
    Birmingham, Alabama, Us
    HealthOpX is a software company dedicated to improving social determinants and mitigating the challenges that ESL patients, refugees, and undeserved communities face when accessing healthcare.
  • Michigan State University
    Graduate Research Assistant
    Michigan State University Jan 2018 - May 2023
    East Lansing, Mi, Us
    Dissertation: "Beyond Benchmarks Suites: Engineering Diagnostic Tools to Characterize Selection Schemes"Evolutionary algorithms provide an effective set of tools for solving complex optimization problems found in the real world. When a new evolutionary algorithm is proposed, it is typically evaluated against hand-picked test problems or a benchmark suite to demonstrate its abilities. Indeed, multiple benchmark suites exist to shine a light on the types of problems an evolutionary algorithm is effective against. Such suites, however, are limited in their ability to help us understand why an evolutionary algorithm performs the way it does. In particular, problems with complex fitness landscape topologies do not allow for an intuitive understanding of how an algorithm traverses the search space. Here, I propose a set of low-level diagnostic tools as an alternative to benchmark suites to more precisely and intuitively measure the strengths and weaknesses of an evolutionary algorithm; each diagnostic generates a handcrafted search space topology with targeted problem characteristics (i.e., modality, deception, dimensionality, etc.). More specifically, I focus on how the set of diagnostics can be used to develop a deeper understanding of a critical component found across many evolutionary algorithms -- the selection scheme. Indeed, we find key differences among commonly used selection schemes, where these differences help identify the kinds of problems each scheme is best suited for.
  • Michigan State University
    Student Mentor
    Michigan State University Aug 2018 - Dec 2018
    East Lansing, Mi, Us
    Taught 6th-12th grade students how to implement code that runs on a BBC micro:bit and topics regarding variables, conditionals, and loops.
  • Michigan State University
    Student Mentor
    Michigan State University Jun 2018 - Jul 2018
    East Lansing, Mi, Us
    Taught incoming freshman topics regarding web design, databases, and the Google Cloud Platform from the Google Computer Science Summer Institute curriculum.
  • Oak Ridge National Laboratory
    Gem Fellow Intern
    Oak Ridge National Laboratory Jun 2021 - Aug 2021
    Oak Ridge, Tn, Us
  • Girls Who Code
    Student Mentor
    Girls Who Code Jan 2019 - Apr 2019
    New York, New York, Us
    Taught high school students topics regarding web design, variables, conditionals, loops, and teamwork tactics.
  • Michigan State University
    Summer Research Intern
    Michigan State University May 2017 - Jun 2017
    East Lansing, Mi, Us
    I was responsible for implementing a distributed system populated with genetic programs that must evolve algorithms to contend with energy conservation using C++ and Python, under Dr. Charles Ofria. I presented my project at BEACON Congress, Mid-Michigan Symposium for Undergraduate Research Experience, and Summer Research Opportunities Program Presentations.
  • Michigan State University
    Summer Research Assistant
    Michigan State University May 2016 - Jul 2016
    East Lansing, Mi, Us
    I was responsible for implementing a GUI that assesses computer system performance and accuracy of a Developmental Network to optimize resource consumption and run-time using Java, under Dr. Juyang Weng. I presented my project at Mid-Michigan Symposium for Undergraduate Research Experience and Summer Research Opportunities Program Presentations.

Jose Guadalupe Hernandez, Phd Skills

Leadership C++ Microsoft Office Microsoft Excel Abstract Algebra Problem Solving Java Html Microsoft Word Assembly Language Discrete Mathematics Management Customer Service Project Management Bilingual Communications

Jose Guadalupe Hernandez, Phd Education Details

  • Michigan State University
    Michigan State University
    And Behavior
  • Michigan State University
    Michigan State University
    Computer Science
  • Michigan State University
    Michigan State University
    Computer Science

Frequently Asked Questions about Jose Guadalupe Hernandez, Phd

What company does Jose Guadalupe Hernandez, Phd work for?

Jose Guadalupe Hernandez, Phd works for Cedars-Sinai

What is Jose Guadalupe Hernandez, Phd's role at the current company?

Jose Guadalupe Hernandez, Phd's current role is Postdoctoral Scientist @ Cedars-Sinai Department of Computational Biomedicine| Michigan State University Alumni | Co-Founder at HealthOpX.

What schools did Jose Guadalupe Hernandez, Phd attend?

Jose Guadalupe Hernandez, Phd attended Michigan State University, Michigan State University, Michigan State University.

What skills is Jose Guadalupe Hernandez, Phd known for?

Jose Guadalupe Hernandez, Phd has skills like Leadership, C++, Microsoft Office, Microsoft Excel, Abstract Algebra, Problem Solving, Java, Html, Microsoft Word, Assembly Language, Discrete Mathematics, Management.

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