About

Our department aims to be a diverse community engaged in areas of education and research in Statistical Theory and Methods, Data Science, Actuarial Science, Financial Mathematics, and Applied Probability; our research collaborations represent a wide range of interdisciplinary fields including environmental science, computer science, and biomedical science. We are home to the UCSB Center for Financial Mathematics and Actuarial Research, an interdisciplinary research center providing leadership in quantitative finance. We also provide consulting services through our Data Science Consulting Laboratory: DataLab

At its core, our department views diversity and inclusion as critical within our mission to educate and prepare the future workforce of data scientists and quantitative thinkers. Increasing diversity across our field is essential in creating more productive, representative, and enriching outcomes as well as innovative solutions to critical problems. We recognize that historically, the job markets and academic communities in statistical theory and methods, financial mathematics, and actuarial science have been weighted toward racial, gender, and socioeconomically privileged communities. We are dedicated to correcting this imbalance in our own community.

PSTAT Department Calendar

January 2022

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01/11/2022 - 16:00 to 17:00
 
01/12/2022 - 15:30 to 16:30
 
 
 
 
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01/19/2022 - 15:30 to 16:30
 
 
 
 
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01/26/2022 - 03:30 to 04:30
 
 
01/28/2022 - 09:45 to 17:00
 
 
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Announcements

Amazon (led by Kevin Davis, Director Alexa AI Knowledge and Lead of the Amazon Santa Barbara...

December 3, 2021, Corwin Pavilion

How do I fit in and where do we go next?.....

 

Upcoming Seminars

Title: Learning Financial Networks with Graphical Models of Time Series Data

  1. January 26, 2022 - 3:30am to 4:30am
  1. Seminar
The 2022 Workshop will include 6 speakers throughout the day, featuring both practitioners and academic researchers. This year our workshops will address Telematics and P & C Reserving.
  1. January 28, 2022 - 9:45am to 5:00pm