Jorge del Val Santos

CEO & Co-founder at Latent Technology
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Contact Information
us****@****om
(386) 825-5501
Location
IT
Languages
  • Spanish Native or bilingual proficiency
  • English Full professional proficiency
  • Sueco Limited working proficiency
  • Italiano Limited working proficiency

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José Manuel de la Chica

Si hay una palabra que define profesionalmente a Jorge es "excepcional". Como experto en muchas y diferentes áreas pero especialmente en Inteligencia Artificial, Matemáticas, Redes Neuronales, estadística, tecnología y mil áreas más, su increible potencial transformador no sólo se apoya en lo que sabe, sino en como entrelaza conceptos, ideas, da dimensiones nuevas a ideas que otros podrían ver como planas. Es creativo, analista, sensato y una persona necesaria en todos los equipos que pretendan crear tecnologías visionarias sin dejarse llevar por cantos de sirena y necesiten separar la señal del ruido. Talento y creatividad. Conocimiento y tenacidad. Es brillante, divertido, excelente investigador y al tiempo fantástico cuando trabaja en equipo. Inteligente, constante y fantástico comunicador, cualidad que a veces es difícil encontrar en un científico-tecnólogo tan avanzado y metódico. Durante los años que he trabajo con él, he tenido oportunidad de descubrir tantas facetas y todas tan buenas que sólo siento que haya sido tan poco tiempo. Si tenéis la suerte de trabajar con él, sed conscientes de la suerte que tenéis por que es un auténtico crack y al mismo tiempo, todo un señor profesional de las tecnologías que van a transformar el mundo.

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Experience

    • United Kingdom
    • Computer Games
    • 1 - 100 Employee
    • CEO & Co-founder
      • Nov 2022 - Present

      Building the next generation AI animation technology for virtual worlds. Join us! Building the next generation AI animation technology for virtual worlds. Join us!

    • Spain
    • Higher Education
    • 1 - 100 Employee
    • Lecturer
      • Oct 2018 - Present

      Master program "Artificial Intelligence applied to Financial Markets". I teach the following courses: - Deep Generative Models - Deep Learning methods on Natural Language Processing Master program "Artificial Intelligence applied to Financial Markets". I teach the following courses: - Deep Generative Models - Deep Learning methods on Natural Language Processing

    • Sweden
    • Computer Games
    • 200 - 300 Employee
    • Senior Research Engineer
      • May 2019 - Nov 2022

      Embark Studios is a newly started Stockholm-based games studio, on a mission to blur the line between playing and making. In particular, as a part of the machine learning team I do applied research in the areas of deep reinforcement learning in the search for new ways to experience and create games. Embark Studios is a newly started Stockholm-based games studio, on a mission to blur the line between playing and making. In particular, as a part of the machine learning team I do applied research in the areas of deep reinforcement learning in the search for new ways to experience and create games.

    • United States
    • Entertainment Providers
    • 700 & Above Employee
    • Research Engineer - Deep Learning
      • Mar 2018 - May 2019

      Part of the SEED research division at Electronic Arts, whose mission is to explore, build and help define the future of interactive entertainment. In particular, I was a member of the deep learning team in the areas of generative models and reinforcement learning. Part of the SEED research division at Electronic Arts, whose mission is to explore, build and help define the future of interactive entertainment. In particular, I was a member of the deep learning team in the areas of generative models and reinforcement learning.

    • Spain
    • Software Development
    • 1 - 100 Employee
    • Research Engineer (Machine Learning & AI)
      • Jun 2016 - Apr 2018

      Part of the New Digital Business Technology division at BBVA, which leverages new technologies to diversify the bank activity towards future business models. I mainly did research on machine learning from an applied perspective, while giving diverse talks and courses focused on applied mathematics. I was also a team member with a critical role in the design and implementation of a productive, novel cloud-based antifraud system for a mexican company. Additionally, I also worked in the creation of intelectual property, having achieved one patent application in the area of algorithmic trust in distributed systems. Other activities include giving hands-on scientific support to ongoing projects, such as in analytics, innovation, or M&A.

    • United Kingdom
    • Technology, Information and Internet
    • 1 - 100 Employee
    • Advisor - Machine Learning & AI
      • Mar 2017 - Mar 2018

    • Spain
    • Higher Education
    • 700 & Above Employee
    • Research Fellow
      • Jun 2014 - Mar 2018

      We do research on machine learning and multi-agent systems. Our main lines now are related to deep generative models and reinforcement learning in a distributed context. Also we are interested in the use of stochastic dynamic game theory in different related contexts.- Developed and implemented a novel framework for fully decentralized generative adversarial networks (GANs). The implementations were made in Python using Tensorflow and the code will be publicly available on github. Up to the best of our knowledge, this was the first work to propose such framework.- Conducted research on large scale network stochastic control and defence via mean field theory and new approaches to jamming games.- Developed a framework to solve discrete-time stationary mean field games via approximate dynamic programming in Matlab.- Developed continuous-time Open Loop control tools in Matlab based on Pontryagin or functional projected gradient descent approaches.- Developed a novel framework for POMDP problems based on infinite-dimensional approximation theory with implementation in Matlab.- Published papers on international conferences (EUSIPCO,SSP)

    • Undergraduate Research Fellow
      • Jan 2014 - Jun 2014

      I built a tactical, wide-band modem for ionospheric communications that will be used to increase security and quality of HF signal transmission in low SNR environments.- Designed the modem structure and specifications.- Applied optimal (Wiener) filtering theory in stochastic scenarios with real data.- Designed, implemented and compared different spreading codes for CDMA transmission.- Applied and implemented convolutional coding with maximum likelihood soft-decoding with MAP criterion through the use of likelihood ratios. Compared hard and soft approaches and computational complexity.- Simulated a real HF channel and it's effect on the transmission via linear time variant system theory.- Decisions on all the design aspects such as diversity in space or frequency, modulation, codes, etc.

    • Spain
    • Higher Education
    • 1 - 100 Employee
    • Lecturer
      • Apr 2017 - Feb 2018

      Master in Deep Learning: - Mathematical fundamentals of Deep Learning - Deep generative models (DBN, VAE, GAN) - Convolutional neural networks - Python - Tensorflow Master in Data Science: - Introduction to Deep Learning - Unsupervised learning and clustering Master in Deep Learning: - Mathematical fundamentals of Deep Learning - Deep generative models (DBN, VAE, GAN) - Convolutional neural networks - Python - Tensorflow Master in Data Science: - Introduction to Deep Learning - Unsupervised learning and clustering

    • Spain
    • Higher Education
    • 100 - 200 Employee
    • Lecturer
      • Mar 2017 - Mar 2017

      Master in Data Science: "Introduction to Deep Learning" Master in Data Science: "Introduction to Deep Learning"

    • Spain
    • Information Services
    • 1 - 100 Employee
    • Co-Founder (CIO)
      • Jun 2015 - Mar 2016

      I focused on the scientific vision of business strategy in the early stages of the company. - Helped to create the business model and philosophy of the company - Designed and analyzed quantitative market research - Simulation and prediction of financials in diverse scenarios via stochastic models - Built a machine learning system from scratch as a proof of concept to classify job offers - Measurement and optimization of important KPIs - Public pitches and presentations of our company Jobin is a digital platform which provides any home-service that a customer may need. Our pros, or "Jobers" (as we love to name them), are ready to help you in any of your needs. Jobin home-services encompasses gardening, cleaning service, plumbing, locksmith, painting... Jobin has a clear mission: to revolutionize the home-services sector. Come and grow with us! www.jobin.es

    • Spain
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Mathematical Engineering Consultant
      • Feb 2015 - Sep 2015

      -Research and development of efficient derivative pricing strategies: Optimal control and machine learning approach to the efficent valuation of path-dependent options. -Data Science: Segmentation of clients in the retail sector -Saddle Point and non-parametric methods for risk estimation -Optimization of industrial maintenance policies: Q-learning and optimal control approach over Markov chains -Research and development of efficient derivative pricing strategies: Optimal control and machine learning approach to the efficent valuation of path-dependent options. -Data Science: Segmentation of clients in the retail sector -Saddle Point and non-parametric methods for risk estimation -Optimization of industrial maintenance policies: Q-learning and optimal control approach over Markov chains

  • Freelance
    • Las Rozas de Madrid y alrededores, España
    • Private tutor
      • Jan 2011 - 2014

      I help students in the subjects of Math, Physics, Electronics, Statistics or Econometrics I help students in the subjects of Math, Physics, Electronics, Statistics or Econometrics

Education

  • Universidad Politécnica de Madrid
    Grado en Ingeniería de Tecnologías y Servicios de Telecomunicación, Electrical and Electronics Engineering
    2010 - 2014
  • Universidad Complutense de Madrid
    Máster en Ingeniería Matemática, Mathematical Engineering, Matemática computacional y aplicada
    2014 - 2015
  • Universidad Nacional de Educación a Distancia - U.N.E.D.
    Grado en Física, Physics
    2012 - 2019

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