Miguel Socolovsky, Ph.D.

Miguel Socolovsky, Ph.D. Email and Phone Number

Data Scientist and Computer vision @ Catalan Institute of Oncology
Madrid, ES
Miguel Socolovsky, Ph.D.'s Location
Madrid, Community of Madrid, Spain, Spain
Miguel Socolovsky, Ph.D.'s Contact Details

Miguel Socolovsky, Ph.D. work email

Miguel Socolovsky, Ph.D. personal email

n/a
About Miguel Socolovsky, Ph.D.

Hardworking, adaptable, creative, with a high level of self-motivation and great attention to detail. Used to working as a team member as well as individually. I have the ability to interpret complex problems, apply statistical and physical modelling in order to gain deeper understanding and develop practical solutions.Some of my main interests include data-driven analysis, artificial intelligence, computer vision for Earth observation and physics.

Miguel Socolovsky, Ph.D.'s Current Company Details
Catalan Institute of Oncology

Catalan Institute Of Oncology

View
Data Scientist and Computer vision
Madrid, ES
Miguel Socolovsky, Ph.D. Work Experience Details
  • Catalan Institute Of Oncology
    Data Scientist And Computer Vision
    Catalan Institute Of Oncology
    Madrid, Es
  • Catalan Institute Of Oncology
    Data Scientist / Computer Vision
    Catalan Institute Of Oncology Mar 2021 - Present
    Barcelona, Catalonia, Spain
  • Universitat De Barcelona
    Associate Lecturer
    Universitat De Barcelona Mar 2021 - Present
    Barcelona, Catalonia, Spain
    Biostatistics
  • Indra
    Data Scientist / Ml Engineer
    Indra Jul 2019 - Mar 2021
    Madrid Area, Spain
    - Computer vision, mainly convolutional neural networks- Anomaly detection with autoencoders- Machine learning techniques- Geographic Information Systems (GIS)- Coding in Python (Numpy, Pandas, Tensorflow, Scikit-learn)- Git- Agile Methodologies
  • The University Of Nottingham
    Data Scientist
    The University Of Nottingham Jan 2015 - Dec 2018
    Nottingham, United Kingdom
    - Project management- Developement and optimization of scientific software using Python and Matlab - Data analysis - Machine learning techniques, mainly regression and clustering - Advanced statistics including bayesian and montecarlo methods - Image processing- Problem solving - Galaxy formation and evolution
  • University Of Nottingham
    Demonstrator
    University Of Nottingham Oct 2015 - May 2017
    Nottingham, United Kingdom
  • E-Florex
    Distribución
    E-Florex 2011 - 2012
    Reparto conduciendo furgoneta.
  • Feria Del Libro Permanente (Cuesta De Moyano), Caseta De La Música
    Vendedor
    Feria Del Libro Permanente (Cuesta De Moyano), Caseta De La Música 2009 - 2010

Miguel Socolovsky, Ph.D. Skills

Microsoft Office Matlab Maple Latex Python Mathematica Computational Physics Statistics Physics Research Ciencias

Miguel Socolovsky, Ph.D. Education Details

Frequently Asked Questions about Miguel Socolovsky, Ph.D.

What company does Miguel Socolovsky, Ph.D. work for?

Miguel Socolovsky, Ph.D. works for Catalan Institute Of Oncology

What is Miguel Socolovsky, Ph.D.'s role at the current company?

Miguel Socolovsky, Ph.D.'s current role is Data Scientist and Computer vision.

What is Miguel Socolovsky, Ph.D.'s email address?

Miguel Socolovsky, Ph.D.'s email address is mi****@****m.ac.uk

What schools did Miguel Socolovsky, Ph.D. attend?

Miguel Socolovsky, Ph.D. attended University Of Nottingham, Universidad Complutense De Madrid, Göteborgs Universitet, Universidad Complutense De Madrid.

What skills is Miguel Socolovsky, Ph.D. known for?

Miguel Socolovsky, Ph.D. has skills like Microsoft Office, Matlab, Maple, Latex, Python, Mathematica, Computational Physics, Statistics, Physics, Research, Ciencias.

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.