(DS Seminars] Next seminar: Savannah Thais (Columbia)

[Rosanna Sain]

Dear all,

This is just a reminder that*Savannah Thais*will come visit SISSA and 
give a seminar entitled "Symmetry and Geometry in Machine Learning for 
Particle Physics" on*Friday, at 9:30am in room 132*(abstract + bio below).

For those of you following on Zoom, here is the link: 
https://sissa-it.zoom.us/j/6902850337

Savannah will be with us all day, so if you want to have a chat, let me 
know!

See you all Friday,
Sebastian

*
*
Abstract: Artificial Intelligence (AI) and Machine Learning (ML) have 
become critical tools in many scientific research domains. Particularly, 
in data and statistics heavy fields like particle physics, ML tools are 
essential to meeting the computing needs of current and future 
experiments and to ensuring robust data reconstruction and 
interpretation. This relationship is reciprocal as well as incorporating 
symmetries, conservation laws, and statistical methodologies from 
physics have led to advances in state of the art ML. In this talk I will 
discuss my work using geometric machine learning for data reconstruction 
at the Large Hadron Collider. In particular, I will introduce ways of 
incorporating symmetry conservation into graph neural networks and 
present our recent studies focused on characterizing the utility of 
enforced equivariance when applying ML to real world physics problems. 
Additionally, I'll discuss ways that physicists are uniquely equipped to 
contribute to the broader space of ML/AI research.

Bio: Dr. Savannah Thais is a Research Scientist in the Data Science 
Institute at Columbia University with a focus on machine learning (ML). 
She is interested in complex system modeling and in understanding what 
types of information is measurable or modelable and what impacts 
designing and performing measurements have on systems and societies. Her 
recent work has focused on geometric deep learning, methods to 
incorporate physics-based inductive biases into ML models, regulation of 
emerging technology, social determinants of health, and community 
education. Dr. Thais is the founder and Research Director of Community 
Insight and Impact, an non-profit organization focused on data-driven 
community needs assessments for vulnerable populations and effective 
resource allocation. She was the ML Knowledge Convener for the CMS 
Experiment from 2020-2022, currently serves on the Executive Board of 
Women in Machine Learning and the Executive Committee of the APS Group 
on Data Science, and is a Founding Editor of the Springer AI Ethics journal.

Il giorno mar 21 mar 2023 alle ore 21:07 Sebastian Goldt 
<goldt.sebastian at gmail.com> ha scritto:

    Dear friends of data science,

    We will have our next DS seminar with*Savannah Thais* from Columbia
    University on* Friday, 31.03. at 09:30 am*. Savannah's recent
    work has focused on geometric deep learning, methods to incorporate
    physics-based inductive biases into ML models, regulation of
    emerging technology, social determinants of health, and community
    education. The title of her talk will be "Symmetry and Geometry in
    Machine Learning for Particle Physics". Please find the abstract and
    a full bio below.

    Savannah will spend the whole day at SISSA, so please feel free to
    reach out to me to arrange a chat after the seminar or in the
    afternoon I'll try to coordinate.

    We will share the room closer to the date.

    Please feel free to circulate this announcement widely !

    See you all soon,
    Sebastian Goldt