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SUMMARY:CIS - "Get to know your neighbors" Seminar series - Prof. Kathryn
Hess Bellwald
DTSTART;VALUE=DATE-TIME:20220228T151500
DTEND;VALUE=DATE-TIME:20220228T161500
UID:b990cb2779b419a946e03fbb6fcd928fb23f573af4f2dd89090ffb24
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Kathryn Hess Bellwald\nTitle: The case for diversifyin
g your mathematical toolbox\n\nAbstract: Certain fields of mathematics\,
such as dynamical systems and partial differential equations\, have long
provided tools employed by scientists and engineers to advance their resea
rch. More recently\, the utility of other branches of mathematics\, such a
s number theory in cryptography\, graph theory in neuroscience\, and (very
recently) differential geometry in machine learning\, has become increasi
ngly clear. There is great potential for further fruitful synergies be
tween reputedly “pure” branches of mathematics and a wide range of fie
lds in science and engineering.\nTo illustrate the power of less standard
mathematical methods in science and engineering\, I will describe the resu
lts of a long-standing collaboration with Lida Kanari of the Blue Brain Pr
oject\, in which we applied methods of combinatorial topology to analyzing
the morphologies of neurons and glial cells. I will also briefly sketch
the results of other rewarding collaborations with EPFL colleagues\, in w
hich topological methods provided interesting insights into problems in bo
th the life sciences and material science.\n\nBio: Kathryn Hess Bellwald r
eceived her PhD from MIT in 1989 and held positions at the universities of
Stockholm\, Nice\, and Toronto before moving to the EPFL.\nHer research f
ocuses on algebraic topology and its applications\, primarily in the life
sciences\, but also in materials science. She has published extensively
on topics in pure algebraic topology including homotopy theory\, operad th
eory\, and algebraic K-theory. In her work in applied topology\, she has e
laborated methods based on topological data analysis for high-throughput s
creening of nanoporous crystalline materials\, classification and synthesi
s of neuron morphologies\, and classification of neuronal network dynamics
. She has also developed and applied innovative topological approaches t
o network theory\, leading to a parameter-free mathematical framework rela
ting the activity of a network of neurons to its underlying structure\, bo
th locally and globally.\n\nIn 2016 she was elected to Swiss Academy of En
gineering Sciences and was named a fellow of the American Mathematical Soc
iety and a distinguished speaker of the European Mathematical Society in 2
017. In 2021 she gave an invited Public Lecture at the European Congress
of Mathematicians. She has won several teaching prizes at EPFL\, includ
ing the Crédit Suisse teaching prize and the Polysphère d’Or.\nThe Cen
ter for Intelligent Systems at EPFL (CIS) is a collaboration among IC\, EN
AC\, SB\; SV and STI that brings together researchers working on different
aspects of Intelligent Systems.\nIn order to promote exchanges among rese
archers and encourage the creation of new\, collaborative projects\, CIS i
s organizing a "Get to know your neighbors" series. Each seminar will cons
ist of one short overview presentation geared to the general public at EPF
L. \n\nThe CIS seminar will take place live on Zoom: https://epfl.zoo
m.us/j/67194026582\n\nPlease connect to your zoom account using your "@epf
l.ch" address\, as this live event is only open to the EPFL community\nMon
day\, February 7th\, 2022 from 3:15 to 4:15 pm\nNB: Video recordings of th
e seminars will be made available on our website and published on our soci
al media pages
LOCATION:Hybride https://plan.epfl.ch/?room==INF%20328 https://epfl.zoom.u
s/j/67194026582
STATUS:CONFIRMED
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