WiDS Geneva is a regional chapter of the worldwide Women in Data Science organisation. WiDS Geneva conference is an independent event organized by its ambassadors as part of the annual WiDS Worldwide conference series from Stanford University and an estimated 200+ locations worldwide. All genders are invited to attend all WiDS Worldwide conference events.

WiDS Worldwide Impact
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Events

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Participants

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Ambassadors

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Event Schedule

Meet our speakers

Carlotta Favaro

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Senior Data Scientist
Natural Cycles AG

Carlotta is a Senior Data Scientist at Natural Cycles, in Geneva. She is a particle physicist by education, and became familiar with big data, statistical modeling, and coding during her PhD at the CERN laboratories. After obtaining her degree at the University of Zurich, she moved to Paris for a postdoctoral position at the French Alternative Energies and Atomic Energy Commission (CEA). Wanting to expand her horizons, she then quit academic research for the private sector, first as a consultant at PwC, and then as a Data Scientist at Natural Cycles.

Lydia Y. Chen

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Associate Professor
TU Delft

Lydia is an Associate Professor in the Department of Computer Science at the Delft University of Technology in The Netherlands. Lydia holds a PhD from Pennsylvania State University, her research interests being distributed machine learning, dependability management, resource allocation for large-scale data processing systems and services. Specifically, her work focuses on developing stochastic and ML models, and applying these techniques to application domains, such as data centers and AI systems. She has published more than 100 papers in peer-reviewed journals and was a co-recipient of the best paper awards at CCGrid’15 and eEnergy’15.

Elena Tverdokhlebova

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Data Scientist
Swiss Data Science Center

Elena graduated from MIPT (BSc, Moscow, Russia) and Ecole Polytechnique (MSc, Paris). She has several years of experience of developing machine learning models for different industries such as construction, predictive maintenance, the stock market and perfumery. Elena regularly participates in data science competitions and co-organized the Data Science Game - the data science world university championship gathering the best data science students.

Clara Jorda Lope

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Machine Learning Scientist III
Expedia Group

Clara has been a Data Scientist at Expedia for almost 6 years, working on different topics such as database deduplication, property and room mapping, revenue prediction and competitive set generation. Prior to working at Expedia, she completed her PhD in Particle Physics at Instituto de Fisica de Cantabria, Santander (Spain) on Standard Model measurements and Higgs searches, participating in the Higgs boson discovery in 2012. She later did a 2-year postdoc at Istituto Nazionale di Fisica Nucleare in Rome (Italy), continuing to work on Higgs boson analysis and spending long periods of time working at CERN, Geneva.

Meet our workshop leaders

Eun-Kyeong Kim

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Postdoctoral Researcher
University of Zürich

Eun-Kyeong is a geographer and spatial data scientist passionate about understanding the spatio-temporal processes of human behaviors, health and the environment. Eun-Kyeong is a postdoctoral researcher at the University of Zurich having conducted her doctoral research at the GeoVISTA center, Penn State University. Her interests combine multi-sensor trajectory data analytics for human mobility and health research; spatio-temporal statistics and data mining methods; and geovisual analytics and open source development. As well as research and teaching, she has set up academic workshops, a symposium, and a seminar series including: ‘AI & Cities’ track at AMLD conferences, ML4SEP, and MoHeaP workshops.

Adele Kuzmiakova

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Machine Learning Engineer
Starlabs

Adele is a computational engineer focusing on solving problems in machine learning, deep learning, computer vision, and natural language processing. Adele attended Cornell University in New York for her undergraduate engineering studies focussing on applied math. Deep learning problems Adele has worked on include predicting air quality from public webcams, developing real-time human movement tracking, and using computer vision to create 3D avatars from selfies to bring online clothes shopping closer to reality. Working with 3D representations, such as meshes and polygons, and latest frameworks, such as PyTorch3D, left her inspired to share her knowledge with others.

Fatima Soomro

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Senior Consultant
Argusa SA

Fatima obtained her PhD in particle physics at Imperial College London. She has worked as a scientific collaborator for INFN in Italy and EPFL in Switzerland, looking for and quantifying very rare processes in the data from the Large Hadron Collider at CERN. She transitioned to business intelligence seven years ago, and has since been involved in data projects at many big companies. She loves working with data in all its forms: big, small, dirty, clean. She enjoys moulding and shaping data, and presenting it in a form that brings value to the audience.

Your WiDS Geneva Ambassadors

Léna Carel Machine Learning Scientist
Expedia Group

Catrìona Mitchison
Machine Learning Scientist
Expedia Group

Florian Hatt
Machine Learning Science Director
Expedia Group

Thank you 2022 Sponsors

WiDS Worldwide Initiatives

Conference
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Datathon
Podcast
Workshops for Everyone
Outreach for Secondary Schools

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