Fridays@4

Please note that the list below only shows forthcoming events, which may not include regular events that have not yet been entered for the forthcoming term. Please see the past events page for a list of all seminar series that the department has on offer.

Past events in this series
21 January 2022
16:00
Margot Gerritsen
Abstract

This event will take place in L1 and on Teams. A link will be available 30 minutes before the session begins. 

 

It's hard to believe: I've spent nearly 40 years in STEM. In that time, much changed: we changed from typewriters to PCs, from low performance to high  performance computing, from data-supported research to data-driven research, from traditional languages such as Fortran to a plethora of programming environments. And the rate of change seems to increase constantly. Some things have stayed more or less the same, such as the (lack of) diversity of the STEM community, the level of stress and the struggles we all experience (and the joys!). In this talk, I will reflect on those years, on lessons learned and not learned or unlearned, on things I wish I understood 40 years ago, and on things I still don't understand.

Margot is a professor at Stanford University in the Department of Energy Resources Engineering (ERE) and the Institute of Computational & Mathematical Engineering (ICME). Margot was born and raised in the Netherlands. Her STEM education started in 1982. In 1990 she received a MSc in applied mathematics at Delft University and then left her home country to search for sunnier and hillier places. She moved to Colorado and a year later to California to join the PhD program in Scientific Computing and Computational Mathematics at Stanford. During her PhD, Margot spent several quarters at Oxford University (with very good memories). Before returning to Stanford as faculty member in ERE, Margot spent 5 years as lecturer at the University of Auckland, New Zealand. From 2010-2018, Margot was the director of ICME. During this directorship, she founded the Women in Data Science initiative, which is now a global organization in over 70 countries. From 2015-2020, Margot was also the Senior Associate Dean of Educational Affairs at Stanford's school of Earth, Energy & Environmental Sciences. Currently, Margot still co-directs WiDS and is the Chair of the Board of SIAM. She has since moved back to the mountains (still sunny too) and now lives in Bend, Oregon.

The join button will be published on the right (Above the view all button) 30 minutes before the seminar starts (login required).

28 January 2022
16:00
Davide Spriano
Abstract

This event will be hybrid and will take place in L1 and on Teams. A link will be available 30 minutes before the session begins.

 

The join button will be published on the right (Above the view all button) 30 minutes before the seminar starts (login required).

11 February 2022
16:00
Kim Moore (Faculty AI) and Sébastien Racanière (Google DeepMind)
Abstract

This event will be hybrid and will take place in L1 and on Teams. A link will be available 30 minutes before the session begins.

Sebastien Racaniere is a Staff Research Engineer at DeepMind. His current main interest is in the use of symmetries in Machine Learning. This offers diverse applications, for example in Neuroscience or Theoretical Physics (in particular Lattice Quantum Chromodynamics). Past interests, still in Machine Learning, include Reinforcement Learning (i.e. learning from rewards), generative models (i.e. learn to sample from probability distributions), and optimisation (i.e. how to find 'good' minima of functions).

The join button will be published on the right (Above the view all button) 30 minutes before the seminar starts (login required).

18 February 2022
16:00
Abstract

This event will be hybrid and will take place in L1 and on Teams. A link will be available 30 minutes before the session begins.

The join button will be published on the right (Above the view all button) 30 minutes before the seminar starts (login required).

25 February 2022
16:00
Abstract

This event will be hybrid and will take place in L1 and on Teams. A link will be available 30 minutes before the session begins.

The join button will be published on the right (Above the view all button) 30 minutes before the seminar starts (login required).

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