Seminar Series: Women in Data Science and Mathematics

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Machine learning, a powerful and data-driven technology, has been successfully used in diverse fields such as computer vision, digital health, economics and science. However, the mathematical foundation and scientific advancements in machine learning may not be as widely recognised.

The goal of our seminar series "Women in Data Science and Mathematics" is twofold: on the one hand, it aims to show recent advancements in interdisciplinary research in mathematics and data science, and on the other hand, it should increase the visibility of underrepresented groups in the field by featuring high-quality research talks delivered by female and non-binary researchers. This approach will help to address structural bias and create role models, encouraging women to pursue research in this area.

We warmly welcome everyone to join our seminar series, regardless of gender. It serves not only as a platform to celebrate outstanding research achievements in data science and mathematics but also as an inclusive forum to facilitate research discussions among diverse participants for exchanging ideas and networking.

Event Format

Our seminar series will be held on the last Wednesday of every month via Zoom meetings. Each session will last approximately one hour and will include a research talk followed by a Q&A session. The participants are welcome to join the informal chat with the organisers and speakers after the talk to foster interaction. To accommodate attendees from different regions, the seminar time may rotate.

To keep regular updates of our seminar series, sign up the mailing list of our seminar series.  

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To register, simply click on the 'Event Registration' button. For detailed information about the event, including the talk's title and abstract, please click on the link provided below. 

Suggest a Speaker

We welcome your suggestions for future speakers in the WINDSMATH seminar series. All proposals will be carefully considered on a rolling basis when inviting upcoming speakers. If you have someone in mind, please take a moment to fill out the form below — it only takes a minute.

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WINDSMATH Newsletter

In addition to our seminar series, WINDSMATH also highlights recent research by women in data science and mathematics through our newsletter. Each edition introduces a recently published paper authored or co-authored by a woman researcher in the field, providing a concise overview of the work and its scientific contribution.

Through this initiative, we hope to further increase the visibility of women researchers while sharing recent developments across mathematics, statistics, machine learning, data science, and related areas. Newsletter updates will be posted in our LinkedIn group.

Follow Our Newsletter on LinkedIn

Women in Science & Mathematics Organisations

We have also compiled a collection of organisations, networks, and communities that support and connect women in mathematics, statistics, data science, computing, and related scientific fields.

Explore Organisations

Organisers

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Hao Ni

UCL, UK
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Wei Chen

CAS, China
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Christa Cuchiero

UVienna, Austria
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Qi Meng

Microsoft, China
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Jing Dong

Columbia, USA
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Yue Wu

Strathclyde, UK

Scientific Committee

(In alphabetical order by surname)
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Victorita Dolean Maini

Professor
Eindhoven University of Technology
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Huazhen Lin

Professor
 Southwestern University Finance and Economics
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Terry Lyons

Wallis Professor Emeritus & Professor
University of Oxford
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Zhiming Ma

Professor
Chinese Academy of Sciences
 

Sponsors

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