Gaël Varoquaux is a research director working on data science at Inria
(French computer science national research) where he leads the Soda team.
Varoquaux's research covers
fundamentals of artificial intelligence,
statistical learning, natural language processing, causal inference, as
well as applications to health, with a current focus on public health
and epidemiology. He also creates technology: he
co-funded scikit-learn, one of the reference machine-learning toolboxes,
and helped build various central tools for data analysis in Python.
Varoquaux has worked at UC Berkeley, McGill, and university of Florence.
He did a PhD in quantum physics supervised by
Alain Aspect and
is a graduate from Ecole Normale Superieure, Paris.
I get a lot of email, and fail to answer all of it. My
Seeking advice: Do not write to me to ask me about some
software, even if I
am the maintainer. Write to the relevant mailing list or
open a ticket. If you ask me advice on data
please be aware that I might not reply, or I might post
my reply on a public
mailing list or social network, in an attempt to have
more people benefit from it.
Job seeking: If you are looking for an
internship, write me a concise
email, telling me why you are interested in working with
me, and with a CV (even if it is only for a preliminary
enquiry). Also, check our group's
offer page. I am more likely to reply to people from
under-represented groups, because diversity is important
Invitations: I enjoy giving talks and
am flattered by invitations. But I am trying to fly no
more than once a year, to reduce my carbon
footprint. I more likely to give remote talks,
or consider traveling if not too far by train from Paris.
1 Rue Honoré d'Estienne d'Orves, 91120 Palaiseau,