Julien Veron Vialard is an Applied Scientist at Splunk where he has been working on Machine Learning with Graphs and Natural Language Processing problems. He received in June 2021 his M.S. in Computational and Mathematical Engineering from Stanford University, where his research focused on biostatistics and convolutional neural nets for medical imaging. Prior to Stanford, Julien interned in quantitative trading firms.
Develop new intelligence around core products through applied research
Skiing, playing squash, reading books, and all things technology
“All the happiness in the world is in the unexpected.”
– Jean d'Ormesson