To register and for more information
\n\nDate: Friday 13 November 2020
Time: 12pm - 1pm EST (9am West Coast\, 12pm East Coast\, 5pm London\, 6p
m France)
Where: Zoom link to be sent by email
Come and he
ar from GadzArts + guests and connect with them\, be it out of general int
erest\, professional aspirations\, or to celebrate together the beauty of
Engineering.
The event will consist of a fireside chat followed
by a more interactive discussion where the audience will be welcome to in
teract freely with the speakers.
Speakers:
- D
r. Sacha Ghebali (Bo 211)
Sacha studied at Arts et Metiers in Bordeau
x\, then completed the Research Master in Fluid Mechanics in Paris and wen
t on to pursue a PhD in Aeronautics at Imperial College London with a stud
entship from Airbus and Innovate UK. His research focused on turbulence an
d optimizing wall geometries to reduce the turbulent drag.
- Dr. Ryan Alimo
Ryan Alimo is a lead data scientist at NASA's Jet
Propulsion Laboratory (JPL)\, California Institute of Technology's deep le
arning group. His primary research interests span theory and practice of n
onconvex optimization for machine learning for autonomous spacecraft syste
ms\, and he is advancing the field of human-AI teaming and multi-agent sys
tems.
To register and f or more information
DTSTART;TZID=America/Los_Angeles:20201113T090000 DTEND;TZID=America/Los_Angeles:20201113T100000 SUMMARY:Gadz stories #1 - Aerospace URL:https://mail.americanfriendsam.org/calendar/19-afam-events/560-gadz-sto ries-1-aerospace.html X-ALT-DESC;FMTTYPE=TEXT/HTML:To regi ster and for more information
\n\nDate: Friday 13
November 2020
Time: 12pm - 1pm EST (9am West Coast\, 12pm East Coast\
, 5pm London\, 6pm France)
Where: Zoom link to be sent by email
Come and hear from GadzArts + guests and connect with them\, be it o
ut of general interest\, professional aspirations\, or to celebrate togeth
er the beauty of Engineering.
The event will consist of a fires
ide chat followed by a more interactive discussion where the audience will
be welcome to interact freely with the speakers.
Speaker
s:
- Dr. Sacha Ghebali (Bo 211)
Sacha studied at Arts et M
etiers in Bordeaux\, then completed the Research Master in Fluid Mechanics
in Paris and went on to pursue a PhD in Aeronautics at Imperial College L
ondon with a studentship from Airbus and Innovate UK. His research focused
on turbulence and optimizing wall geometries to reduce the turbulent drag
.
- Dr. Ryan Alimo
Ryan Alimo is a lead data scienti
st at NASA's Jet Propulsion Laboratory (JPL)\, California Institute of Tec
hnology's deep learning group. His primary research interests span theory
and practice of nonconvex optimization for machine learning for autonomous
spacecraft systems\, and he is advancing the field of human-AI teaming an
d multi-agent systems.