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Julian Garcia Pardiñas

About

Research Scientist in AI & Physics @CERN

I am a Research Scientist with a PhD in Particle Physics and over a decade of experience leading innovative research at world-leading institutes and universities, including CERN and the University of Zürich. My work spans both Machine Learning and fundamental physics, with a current focus on advancing AI technologies. I have developed and applied cutting-edge techniques like Graph Neural Networks and Reinforcement Learning to solve complex real-world problems in high-energy physics.

As a co-coordinator of the CERN Inter-experimental Machine Learning group and a steering board member of the European Coalition for AI in Fundamental Physics, I am recognized internationally as an accomplished expert in AI. My career has been dedicated to pioneering scientific research, mentoring emerging talent, and fostering interdisciplinary collaboration. I am now seeking opportunities in AI research or AI-driven development projects that enhance human capabilities and contribute to societal progress.

Skills

Academic Research

Algorithm Design

Algorithm Development

Algorithm Optimization

Analytic Problem Solving

Article Writing

Artificial Intelligence

Artificial Neural Networks

C++

Collaborative Project Management

Conference Organization

Conference Presentations

Coordination Skills

Creative Problem Solving

Creativity

Custom Software Development

Experimental Physics

Google TensorFlow

Grant Preparation

Grant Writing

Interdisciplinary Collaboration

International Research

Leading Development Teams

Machine Learning

Mathematics

Mentoring

Multi-cultural Team Management

Oral Communication

Particle Physics

Peer Reviews

Physics

Physics Simulation

Project Team Management

Public Speaking

Python

Reinforcement Learning

Research

Software Development Tools

Statistical Analysis Tools

Student Supervision

Teaching

Teams and Collaboration

Written Communication

Open for

fulltime

Work Experience

University of Zürich

2018-02 - 2018-06

Workplace
Research Assistant
Location

Zürich

Employement type

fulltime

Functions: advanced statistical data analysis, algorithm development, student supervision, university teaching.

University of Zürich

2018-07 - 2020-09

Workplace
Postdoctoral researcher
Location

Zürich

Employement type

fulltime

Functions: advanced statistical data analysis, algorithm development, student supervision.

University of Milano-Bicocca

2020-10 - 2022-09

Workplace
Postdoctoral Research Fellow
Location

Milano

Employement type

fulltime

Postdoctoral Research Fellow funded by a prestigious Marie Curie fellowship from the European Commission of Research: https://cordis.europa.eu. Functions: design of research agendas, research group coordination, AI research, algorithm development, advanced statistical data analysis and student supervision.

CERN

2022-10 -

Workplace
Senior Research Fellow
Location

Geneva

Employement type

fulltime

Functions: design of research agendas, research group coordination, AI research, algorithm development, multi-disciplinary research, advanced statistical data analysis and student supervision. Co-coordinator of the CERN forum on Machine Learning. Steering-board member of the European Coalition for AI in Fundamental Physics.

Academic Experience

University of Santiago de Compostela -

 

2009.09 - 2013.08

Bachelor of Science, BSc in Physics

University of Santiago de Compotela -

 

2013.09 - 2014.07

Master of Science, MSc in Nuclear and Particle Physics

University of Santiago de Compostela -

 

2014.10 - 2018.06

Philosophical Doctorate, PhD in Nuclear and Particle Physics