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<head>
<title>Severin Gsponer</title>
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<div class="row"><div class="col-md-9"><h1 class="title">Severin Gsponer</h1>
PhD, Computer Science </br>
<a href="http://www.ucd.ie/">University College Dublin</a></br>
<a href="https://www.insight-centre.org/">Insight Centre for Data Analytics</a></br>
<div id="outline-container-sec-1" class="outline-2">
<h2 id="sec-1">Contact</h2>
<div class="outline-text-2" id="text-1">
<p>
[email protected]</br>
<a href="https://scholar.google.com/citations?user=FrRxKNwAAAAJ" alt="Google scholar link">
Goolge Scholar</a></br>
<a href="https://www.researchgate.net/profile/Severin_Gsponer" alt="Research gate link">
ResearchGate</a>
<a href="https://github.com/svgsponer" alt="Github link">
Github</a>
</p>
</div>
</div>
<div id="outline-container-sec-2" class="outline-2">
<h2 id="sec-2">Short Bio</h2>
<div class="outline-text-2" id="text-2">
<p>
I currently work at IT-Logix in Bern, Switzerland, where I am involved in
developing and consulting in the area of Datawarehousing, with a particular
focus on datawarehouse automation. Prior to this, I was a member of the contact
tracing team for the Health Services of Basel-City, where I was responsible for
creating data analytics apps and maintaining a knowledge management system to
support the team in their efforts to combat COVID-19. In addition, I
contributed to the analysis of data for scientific publications, including
co-authoring papers. I also worked at BDO AG in Switzerland, where
I helped to develop various data products, specifically, by developing a
suitable data architecture and clearly defining the company's needs.
</p>
<p>
In addition, I teach at the University of Applied Science and Arts Northwestern
Switzerland (FHNW), where I manage a machine learning challenge for students to apply
their skills to real-world datasets. Before my current role, I was a
postdoctoral researcher at the School of Computer Science at University College
Dublin, where I focused on using Evolutionary Algorithms, particularly Gene
Expression Programming with Covariance Matrix Adaption, for multivariate time
series classification, and the potential of Random Kernel Classification. I
received my PhD in Computer Science from the School of Computer Science at
University College Dublin in 2019. My thesis focused on developing
effective and interpretable machine learning algorithms for solving sequence
learning problems by learning linear models in all-substring feature spaces.
These algorithms are applicable in many domains, such as DNA and amino-acid
classification, malware classification, and time series classification. I
completed my MSc in 2014 and BSc in 2012 in Computer Science from the University
of Basel.
</p>
<!--
In particular, I experiment and with linear models
, in particular the analysis of
different loss functions and convex
optimization strategies within the
sequence learning framework <a
href="https://github.com/heerme/seql-sequence-learner">SEQL</a>. In
this context, he is especially
interested in the scalability as well
as the interpretability of the
produced models. Additionally he
works on improvements regarding
feature selection strategies in huge
feature spaces with structure, such
as n-gram spaces. -->
</p>
</div>
</div>
<div id="outline-container-sec-3" class="outline-2">
<h2 id="sec-3">Main Research Interests</h2>
<div class="outline-text-2" id="text-3">
<ul class="org-ul">
<li>Sequence Classification and Regression
</li>
<li>Time Series Classification
</li>
<li>Interpretable Machine Learning
</li>
<li>Evolutionary Algorithms
</li>
<li>Digital Health
</li>
<li>Bioinformatics
</li>
<li>Reproducibility in Research
</li>
</ul>
</div>
</div>
<div id="outline-container-sec-4" class="outline-2">
<h2 id="sec-4">Publications</h2>
<ul>
<li>
<b>SARS-CoV-2 Vaccine Alpha and Delta Variant Breakthrough Infections Are Rare and Mild but Can Happen Relatively Early after Vaccination</b>
<i>Microorganisms 2022, 10(5), 857,</i>
Peter J.K., Wegner F., Gsponer S., Helfenstein
F., Roloff T., Tarnutzer R., Grosheintz K., Back
M., Schaubhut C., Wagner S., Seth-Smith H.M.B.,
Scotton P., Redondo M., Beckmann C., Stadler T.,
Salzmann A., Kurth H., Leuzinger K., Bassetti
S., Bingisser R., Siegemund M., Weisser M.,
Battegay M., Sutter S.T., Lebrand A., Hirsch
H.H., Fuchs S., Egli A,
<a href="https://doi.org/10.3390/microorganisms10050857"> <pdf> </a>
</li>
</ul>
<ul>
<li>
<b>
SARS-CoV-2 in schools: genome analysis shows that concurrent cases in the second and third wave were often unconnected
</b>
<i>Preprint medRxiv 2022,</i>
Stange M., Wuerfel E., Peter J.K., Seth-Smith
H., Roloff T., Gsponer S., Mari A., Gil B.C.
, Lebrand A., Wegner F., Heininger U.,
Bielicki J., Tschudin Sutter S.,Stadler T.,
Leuzinger K., Hirsch Hans H., Ledergerber M.,
Fuchs S., Egli A.;
<a href="https://www.medrxiv.org/content/10.1101/2021.09.13.21263568v1"> <pdf> </a>
</li>
</ul>
<ul>
<li><b>An Examination of the State-of-the-Art Multivariate time Series Classification</b>,
<i>LISTA 2020, Sorrento, Italy</i>
Bhaskar Dhariyal, Thach Le Nguyen, Severin Gsponer, Georgiana Ifrim
<a href="https://www.researchgate.net/publication/344501445_An_Examination_of_the_State-of-the-Art_for_Multivariate_Time_Series_Classification"> <pdf> </a>
</li>
<li><b>Background Knowledge Injection for Interpretable Sequence Classification</b>,
<i>NFMCP 2019, Würzburg, Germany</i>
Severin Gsponer, Luca Costabello, Chan Le Van, Sumit Pai, Christophe Gueret, Georgiana Ifrim, Freddy Lecue
<a href="paper/background_knowledge.pdf"> <pdf> </a>
</li>
<li><b>Interpretable Time Series Classification using All-Subsequence Learning and Symbolic Representations in Time and Frequency Domains</b>,
<i>DMKD/DAMI, May 2019, Data Mining and Knowledge Discovery, Springer,</i>
Thach Le Nguyen, Severin Gsponer, Iulia Ilie, Martin O'Reilly, Georgiana Ifrim (Insight Centre for Data Analytics - University College Dublin).
<a href="https://www.researchgate.net/profile/Georgiana_Ifrim/publication/332875865_Interpretable_Time_Series_Classification_using_Linear_Models_and_Multi-resolution_Multi-domain_Symbolic_Representations/links/5ccffc6d458515712e956749/Interpretable-Time-Series-Classification-using-Linear-Models-and-Multi-resolution-Multi-domain-Symbolic-Representations.pdf"> <pdf> </a> <a href="https://github.com/lnthach/Mr-SEQL"> <code> </a>
</li>
<li><b>Efficient Sequence Regression by Learning Linear Models in All-Subsequence Space</b>,
<i>ECML-PKDD 2017, Skopje, Macedonia,</i>
Severin Gsponer, Barry Smyth, Georgiana Ifrim (Insight Centre for Data Analytics - University College Dublin).
<a href="https://www.researchgate.net/profile/Georgiana_Ifrim/publication/322123312_Efficient_Sequence_Regression_by_Learning_Linear_Models_in_All-Subsequence_Space/links/5a719d040f7e9ba2e1cbb930/Efficient-Sequence-Regression-by-Learning-Linear-Models-in-All-Subsequence-Space.pdf"> <pdf> </a> <a href="https://github.com/svgsponer/SqLoss"> <code> </a>
</li>
<li><b>Time Series Classification by Sequence Learning in All-Subsequence Space</b>,
<i>ICDE 2017 IEEE International Conference on Data Engineering, San Diego,</i>
Thach Le Nguyen, Severin Gsponer, Georgiana Ifrim (Insight Centre for Data Analytics - University College Dublin).
<a href="https://www.researchgate.net/profile/Georgiana_Ifrim/publication/313921767_Time_Series_Classification_by_Sequence_Learning_in_All-Subsequence_Space/links/58affc0745851503be954a65/Time-Series-Classification-by-Sequence-Learning-in-All-Subsequence-Space.pdf"> <pdf> </a> <a href="https://github.com/lnthach/SAX-SEQL"> <code> </a>
</li>
<li><b>Reproducible Experiments in High-Performance Computing: Techniques and Stencil Compiler Benchmark Study</b>,
<i>Presentation at Platform for Advanced Scientific Computing 2014 , ETH Zürich,</i>
Helmar Burkhart, Severin Gsponer, Danilo Guerrera, and Antonio Maffia (University of Basel).
</li>
<li>
<b>Reproducible Experiments in High-Performance Computing: Techniques and Stencil Compiler Benchmark Study</b>,
<i>Workshop at 1st International Workshop on Reproducibility in Parallel Computing, Porto, Portugal,</i>
Danilo Guerrera, Helmar Burkhart, Severin Gsponer, and Antonio Maffia (University of Basel).
</ul>
</div>
<div id="outline-talks" class="outline-2">
<h2 id="sec-5">Talks</h2>
<div class="outline-text-2" id="text-4">
<ul class="org-ul">
<li>
Background Knowledge Injection for Interpretable Sequence Classification. September 2019 <a href="slides/Emb_seql_nfmcp19.pdf"><slides></a>
</li>
<li>
Efficient Sequence Regression by Learning Linear Models in All-Subsequence Space. September 2017 <a href="slides/presentationECML17.pdf"><slides></a>
</li>
<li>
Introduction to Git for Master Students. October 2016 <a href="slides/gitIntro.pdf"><slides></a>
</li>
<li>
Machine Learning for Sequence Learning. January 2016 <a href="slides/MLforSequencesFon.pdf"><slides><slides\></a>
</li>
</ul>
</div>
</div>
<div id="outline-container-sec-4" class="outline-2">
<h2 id="sec-6">Teaching</h2>
<div id="outline-container-sec-6-1" class="outline-3">
<h3 id="sec-6-1">Lecturer @ FHNW</h3>
<div class="outline-text-3" id="text-6-1">
<ul class="org-ul">
<li>Data Science Challenges-X SS 2022
</li>
</ul>
<ul class="org-ul">
<li>Machine Learning Challenge WS 2021
</li>
</ul>
</div>
<h3 id="sec-6-1">Teaching assistant / Tutor @ UCD Dublin</h3>
<div class="outline-text-3" id="text-6-1">
<ul class="org-ul">
<li>Data Analytics (COMP47350) SS 2017 / SS 2018 / SS 2020
</li>
<li>Object Oriented Programming in Python WS 2018
</li>
<li>Intro to Text Analytics (COMP30810) WS 2018
</li>
<li>Recommender Systems & Collective Intelligence (COMP475800) SS 2018
</li>
<li>Object-Oriented Programming (COMP30070) WS 2016/ WS 2017
</li>
<li>Software Engineering (COMP30670) SS 2016
</li>
<li>Computer Programming I (COMP10110) WS 2015
</li>
<li>Introduction to Java (COMP20250) WS 2015
</li>
<li>Programming I (Python) (COMP10280) WS 2015
</li>
</ul>
</div>
</div>
</div>
<div id="outline-container-sec-7" class="outline-2">
<h2 id="sec-7">Attended Conferences and Summer Schools</h2>
<ul>
<li><a href="http://ecmlpkdd2019.org//"><b>The European conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2019</b></a>, September 2019, Würzburg, Germany.
</li>
<li><a href="http://ecmlpkdd2018.org//"><b>The European conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2018</b></a>, September 2018, Dublin, Ireland.
</li>
<li><a href="http://ecmlpkdd2017.ijs.si//"><b>The European conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2017</b></a>, September 2017, Skopje, Macedonia.
</li>
<li><a href="http://icde2017.sdsc.edu/"><b>IEEE International Conference on Data Engineering (ICDE) 2017</b></a>, April 2017, San Diego, USA.
</li>
<li><a href="http://nips.cc"><b> Annual Conference on Neural Information Processing Systems (NIPS) 2016</b></a>, December 2016, Barcelona, Spain.
</li>
<li><a href="http://school.a4cp.org/summer2016/"><b>Association for Constraint Programming (ACP) Summer School 2016</b></a>, June 2016, Cork, Ireland.
</li>
</ul>
</div>
<div id="outline-container-sec-8" class="outline-2">
<h2 id="sec-8">Community Services</h2>
<div id="outline-container-CS" class="outline-3">
<h3 id="sec-8-1">Program Commitee Member:</h3>
<ul>
<li>AAAI Conference on Artificial Intelligence (AAAI 2021)
</li>
<li>Irish Conference on Artifical Intelligence and Cognitive Science (AICS 2020)
</li>
<li>International Joint Conference On Artificial Intelligence - Pacific Rim International Conference on Artificatial Intelligenece (IJCA-PRICAI 2020)
</li>
<li>European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Applied Data Science Track (ECMLPKDD 2020)
</li>
</ul>
</div>
<div id="outline-container-CS" class="outline-3">
<h3 id="sec-8-2">Reviewer</h3>
<ul>
<li>ACM International Conference on Information and Knowledge Management (CIKM 2020)</li>
<li>SIAM International Conference on Data Mining
(SDM 2020)</li>
<li>IEEE/CAA Journal of Automatica Sinica
</li>
<li>Machine Learning Journal
(Springer)</li>
<li>International Conference on Data Mining and Knowledge Discovery
(DMKD 2018)</li>
<li>European Conference on Machine Learning and Principles and Practice of Knowledge Discover in Databases
(ECMLPKDD 2018)</li>
<li>International Conference on Knowledge Engineering and Knowledge Management
(EKAW 2018)</li>
<li>European Conference on Machine Learning and Principles and Practice of Knowledge Discover in Databases
(ECMLPKDD 2017)</li>
</ul>
</div>
</div>
<div id="outline-container-sec-10" class="outline-2">
<h2 id="sec-10">Smart Pointers</h2>
<div class="outline-text-2" id="text-10">
</div><div id="outline-container-sec-10-1" class="outline-3">
<h3 id="sec-10-1">Podcasts</h3>
<div class="outline-text-3" id="text-10-1">
</div><div id="outline-container-sec-10-1-1" class="outline-4">
<h4 id="sec-10-1-1">English podcasts</h4>
<div class="outline-text-4" id="text-10-1-1">
<ul class="org-ul">
<li><b><a href="http://lineardigressions.com/">Linear Digressions</a></b> - Regular podcast by Ben Jaffe and Katie Malone about various topics in Machine learning.
</li>
<li><b><a href="http://dataskeptic.com/">Data Sceptic</a></b> - Podcast with Kyle and Linh Da feature longer interviews with active data scientists as well as episodes that introduces basic principles of Data Science.
</li>
<li><b><a href="http://www.thetalkingmachines.com/about">Talking Machines</a></b> - Katherine Gorman and Neil Lawrence talk about topics in Machine learning and present interesting interviews with researchers and experts in the field.
</li>
<li><b><a href="http://cppcast.com">CppCast</a></b> - Rob Irving and Jason Turner discuss C++ news and have interesting conversations with C++ conference speakers, library authors, writers, ISO committee members and more.
</li>
</ul>
</div>
</div>
<div id="outline-container-sec-10-1-2" class="outline-4">
<h4 id="sec-10-1-2">German podcasts</h4>
<div class="outline-text-4" id="text-10-1-2">
<ul class="org-ul">
<li><b><a href="http://minkorrekt.de" >Methodisch inkorrekt</a></b> - Nicolas Wöhrl and Reinhard Remfort present fortnightly four papers from fields of science in a entertaining and informative way.
</li>
<li><b><a href="http://cre.fm" >CRE: Technik, Kultur, Geselschaft</a></b> - Tim Pritlove features in depth interviews with experts from various fields.
</li>
</ul>
</div>
</div>
</div>
<div id="outline-container-sec-10-2" class="outline-3">
<h3 id="sec-10-2">Newsletters</h3>
<div class="outline-text-3" id="text-10-2">
<p>
These newsletters provide a good overview over the mass of article and news in the field of ML and AI:
</p>
<ul class="org-ul">
<!-- <li><b><a href="http://mlweekly.com/">ML Weekly</a></b> - Gathering of ML related Twitter, Facebook, Google+, and LinkedIn posts.
</li> -->
<li><b><a href="http://aiweekly.co/">AI Weekly</a></b> - Newsletter similar to ML Weekly but for the field of AI.
</li>
<li><b><a href="http://dataelixir.com/">Data Elixir</a></b> - Curated news and resources about data science.
</li>
<li><b><a href="https://jack-clark.net/import-ai/">Import AI</a></b> - A newsletter about artificial intelligence.
</li>
</ul>
<p>
These mailing lists contain recent announcements and CfP and are probably more interesting for researchers and people working in academia.
</p>
<ul class="org-ul">
<li><b><a href="https://mailman.srv.cs.cmu.edu/mailman/listinfo/connectionists">Connectionists</a></b> - Mailing list about neural networks and cognitive or computational neuroscience.
</li>
<li><b><a href="https://groups.google.com/forum/#!forum/ml-news">ML-News</a></b> - Google group for announcements and CfP for the machine learning community.
</li>
<li><b><a href="https://secure.engr.oregonstate.edu/mailman/listinfo/uai">UAI</a></b> - Mailing list for uncertainty in artificial intelligence.
</li>
</ul>
</div>
</div>
</div>
</div><div class="col-md-3"><nav id="table-of-contents">
<div id="text-table-of-contents" class="bs-docs-sidebar">
<ul class="nav">
<li><a href="#sec-1">Contact</a></li>
<li><a href="#sec-2">Viva</a></li>
<li><a href="#sec-3">Research Interests</a></li>
<li><a href="#sec-4">Publications</a></li>
<li><a href="#sec-5">Talks</a>
<li><a href="#sec-6">Teaching</a>
<ul class="nav">
<li><a href="#sec-6-1">Teaching assistant / Tutor</a></li>
</ul>
</li>
<li><a href="#sec-7">Conferences</a>
<li><a href="#sec-8">Community Services</a></li>
<li><a href="#sec-10">Smart Pointers</a>
<ul class="nav">
<li><a href="#sec-10-1">Podcasts</a></li>
<li><a href="#sec-10-2">Newsletters</a></li>
</ul>
</li>
</ul>
</div>
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</div></div></div>
<footer id="postamble" class="">
<div>
<p>Severin Gsponer</p>
<p>[email protected]</p>
</div>
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