Gabriel Altay
SUMMARY
Machine learner, physicist, and coder with a research background in computational methods and deep mathematical training. Thinks a lot about how machine learning models can understand encyclopedias and knowledge graphs like Wikipedia and Wikidata. Plays well with others and is passionate about communication, continuous learning, and open data.
WORK EXPERIENCE
Postdoctoral Researcher
Georgia Institute of Technology, Center for Relativistic Astrophysics
Oct 2012 - Oct 2014
Georgia Institute of Technology, Center for Relativistic Astrophysics
Oct 2012 - Oct 2014
TRADITIONAL EDUCATION
Ph.D. Physics, 2009
Carnegie Mellon University
Carnegie Mellon University
B.S. Physics, 2002
Illinois State University
Illinois State University
CONTINUOUS EDUCATION
- Coursera - University of Alberta - Sep 2020 - Fundamentals of Reinforcement Learning
- Coursera - Stanford University - Feb 2018 - Sequence Models
- Coursera - Stanford University - Dec - 2017 - Convolutional Neural Networks
- Coursera - Stanford University - Aug 2017 - Structuring Machine Learning Projects
- Coursera - Stanford University - Aug 2017 - Improving Deep Neural Networks
- Coursera - Stanford University - Aug 2017 - Neural Networks and Deep Learning
- Coursera - Stanford University - Feb 2016 - Machine Learning