Jose Enrique Garcia

About Me

I am a particle physics researcher at CSIC with expertise including detector development and operation (hardware), computing (programming, distributed analysis) and physics analysis. I have performed studies looking Dark Matter and new physics with advanced statistical and multivariate techniques applied to large datasets from collisions of the Large Hadron Collider (LHC).

In recent years, the will to apply my knowledge from particle physics to other areas has taken me to study and apply Machine Learning techniques to different scientific fields.

Core Competencies

Data Analysis

Leading data analysis teams in different particle physics experiments from precision physics to beyond Standard Model searches.

AI

Data analysis and machine learning techniques to other fields of science (Bio, Earth and Space Sciences).

Hardware and Software

Two fold expertise on large running experiments. From low level instrumentation to high level operation of detector data taking. Software and distributed computing knowledge.

Technology Transfer

Promote technology transfer at the institute through the coordination of the Innovation and Technological Transfer Office.

Publications Summary

Articles

+1500 / 1400

Citations

+80k / +250k

h-index

125 / 245

Resume

Education

2004
University of Valencia

Doctor of Philosophy (PhD), Physics

1999
University of Valencia

Bachelor's degree, Physics

Experience

2018 - Current
Consejo Superior Investigaciones Cientificas

Cientifico Titular

2011 - 2018
Consejo Superior Investigaciones Cientificas

Researcher Ramon y Cajal

2008 - 2011
University of Geneva

Assistant Professor

2006 - 2008
Fermilab

Post-doctoral Position

2004 - 2006
INFN

Post-doctoral Position

Languages

English

C2

French

B1

Italian

C2

Spanish

Native

Coding Skills

Python

75%

C

75%

HTML/CSS

90%

Knowledges

  • Scientific Computing
  • Statistics
  • Deep Learning
  • Mathematical Modeling
  • Simulations
  • Tensorflow

Certificates

Deep Learning Specialization

Credential ID: PG82EHVJCSCJ
May 2020

Build Basic Generative Adversarial Networks (GAN)

Credential ID: 9Y4WNZ77TBXX
Jan 2021

Projects

Contact

Instituto de Fisica Corpuscular

Contact me