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Dirk Helbing

Computational Social Science, ETH Zurich

Dirk Helbing is Professor of Computational Social Science at the Department of Humanities, Social and Political Sciences and affiliate of the Computer Science Department at ETH Zurich. In January 2014 Prof. Helbing received an honorary PhD from Delft University of Technology (TU Delft). Since June 2015 he is affiliate professor at the faculty of Technology, Policy and Management at TU Delft, where he leads the PhD school in "Engineering Social Technologies for a Responsible Digital Future".

Zhang Ce

DS3Lab, The Systems Group, ETH Zurich

Ce Zhang is an Assistant Professor in Computer Science at ETH Zürich. He believes that by making data along with the processing of data easily accessible to non-CS users, we have the potential to make the world a better place. His current research focuses on building data systems to support machine learning and help facilitate other sciences. He finished his PhD round-tripping between the University of Wisconsin-Madison and Stanford University, and spent another year as a postdoctoral researcher at Stanford. 

Fabrizio Lillo

Dipartimento di Matematica, Università di Bologna

Fabrizio Lillo is Full Professor of Mathematical Methods for Economics and Finance at the University of Bologna (Italy). Formerly he has been Associate Professor of Mathematical Finance at the Scuola Normale Superiore, Pisa (Italy). He has been also External Faculty and Professor (2009-2012) at the Santa Fe Institute (USA). He received the Master (laurea) in Physics and PhD in Physics at the University of Palermo (Italy). He has been postdoc (1999-2001) and then researcher of the National Institute of the Physics of Matter, INFM (2001-2003). After that he has been postdoc (2003) and member of the External Faculty (2004-2009) of the Santa Fe Institute.

Douglas Bakkum

Co-founder, Shift Cryptosecurity

Douglas co-founded Shift Cryptosecurity and is the inventor of the Digital BitBox cryptocurrency hardware wallet. Shift builds personal physical keys for the digital world; these keys solve the problem of how digital assets can be secured in the safest way possible that is still simple for users. Douglas is an accomplished neuroengineering scientist (Ph.D. Georgia Tech) and former group leader at ETH Zürich (6 years) with a diverse background spanning mechanical engineering (M.Sc. and B.Sc.), AI, cognitive science and robotics. On the side, his collaborative works in the bioart field, the Meart and CellF projects, have been exhibited around the world and received numerous prizes.

Pearl Pu

Ecole Polytechnique Fédérale de Lausanne (EPFL)

Pearl Pu currently leads the HCI Group in the School of Computer and Communication Sciences at the Swiss Federal Institute of Technology in Lausanne (EPFL). A native from Shanghai, she moved to the United States shortly after being admitted to the ZheJiang University. She holds a Master and Ph.D. degree from the University of Pennsylvania. 

Dr. Pu’s research is multi-disciplinary and focuses on issues in the intersection of human computer interaction, artificial intelligence, and behavioral science. Over her long career, she introduced novel interaction and interfaces that make it easier for users choose and decide. She is most credited for inventing example critiquing, a product search method for large electronic catalogs. She is also well known for designing novel user study experiments and pioneering user-centered recommender technology. 

Avishek Anand

L3S Research Center, Hannover

His research broadly falls in the intersection of information retrieval and text mining. Specifically, he worked on designing algorithms to improve search and enrichment on temporal collections. 
Recently, he became interested in interpretability of retrieval models. That is, how can we better understand the rationale behind predictions of a black-box retrieval model ? His research is supported by Amazon research awards.

Claudio J. Tessone

Department of Business Administration Network Science, University of Zurich

Claudio J. Tessone is Assistant Professor for Network Science at the University of Zurich (Faculty of Economics, Business Administration and Information Technologies), where he also serves as co-director of the University Priority Programme on Social Networks. He holds a Masters and PhD in Physics and an Habilitation on "Complex socio-economic systems" from ETH Zurich, where he was Senior researcher associate for 7 years. He is an expert in the modelling of complex socio-economic, socio-technical systems from a quantitative and interdisciplinary perspective. Blokchain and cryptocurrencies are a pillar of his research. He is a founding member of the UZH Blockchain Centre and fellow of the Centre for Blockchain Technologies (UCL). 

Stefan Klauser

Computational Social Science, ETH Zurich

Stefan Klauser is a Political Scientist and Fintech & Blockchain Enthusiast. He leads the subject “Digital Society” and the FuturICT 2.0 project at Professor Helbing’s Chair for Computational Social Science at ETH Zurich (see FuturICT 2.0). Stefan is also the Co-Founder of the Blockchain & IoT School BIOTS and a Member of the Board at the BlockchainX network. 

Rok Roskar

Swiss Data Science Center

Rok is an astrophysicist with a strong interest in distributed computation and data analysis. For the past several years he has been working on (big) data analysis problems in various domains within ETH. He is presently at the Swiss Data Science Center striving to make data science more efficient, transparent, reproducible, and repeatable.

Spencer Wheatley

Chair of Entrepreneurial Risks, ETH Zurich

Spencer is a postdoctoral researcher in the chair of Prof. Didier Sornette, at the ETH Zürich, where he develops new statistical tools (e.g., point processes) and analyzes risks in fields such as financial markets, the energy sector, and cyberspace. 

Helge Holzmann

L3S Research Center, Hannover

Helge Holzmann has been a PhD candidate and worked as a researcher at the L3S Research Center in Hanover, Germany since 2013. He received his Bachelor's and Master's degrees from the Leibniz University of Hannover, Germany in 2011 and 2013, both as best graduate of his years. During the time at L3S he has been involved in two EU projects, first ARCOMEM and currently ALEXANDRIA, an ERC Advanced Grant by Prof. Wolfgang Nejdl.

Nino Antulov-Fantulin

Computational Social Science, ETH Zurich

Nino is a postdoctoral researcher at the Computational Social Science group at ETH Zurich in Data Science and Complex Networks. Prior to ETH Zurich, he worked at the Rudjer Boskovic Institute and Faculty of Electrical Engineering and Computing, Croatia and as a visiting scientist at Robert Koch Institute, Berlin. His main research interest include: modelling spreading processes, social network analysis, Monte-Carlo metods, complex systems, probabilistic modelling, machine learning and fast algorithms. 

Tian Guo

Computational Social Science, ETH Zurich

Tian Guo was a doctoral research assistant at EPFL, Switzerland (Swiss Federal Institute of Technology, Lausanne) and currently a postdoc at ETH Zurich. His research interests are in data mining, neural networks and distributed computing for large scale data analytics. In particular he has designed several efficient distributed data mining algorithms for massive time series data and robust learning approaches for noisy datasets.

Other speakers

To be announced soon!

Other lectures from Machine learning, Data Science, Social Network Analysis, Complex Systems and others.

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