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SUMMARY:CIS - "Get to know your neighbors" Seminar series - Prof. Kathryn 
 Hess Bellwald
DTSTART:20220228T151500
DTEND:20220228T161500
DTSTAMP:20260916T065515Z
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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