Andreas Seeger has been awarded a Humboldt Research Award by the Humboldt Foundation. The award is granted in recognition of a researcher's entire achievements to date to academics whose fundamental discoveries, new theories, or insights have had a significant impact on their own discipline and who are expected to continue producing cutting-edge achievements in the future. Congratulations, Andreas!
The American Mathematical Society has announced that Timo Seppalainen was named as a Fellow in the 2018. The Fellows of the American Mathematical Society program recognizes members who have made outstanding contributions to the creation, exposition, advancement, communication, and utilization of mathematics. Timo was nominated for his contributions to probability. Well deserved!
Melanie Matchett Wood has been named as a Vilas Distinguished Achievement Professor. These professorships are awarded only to those who "possess unusual qualifications and promise, having been recognized nationally and internationally for the quality of their research". The title may be carried for the duration of her career in Madison. This is truly an accomplishment, as Melanie was awarded the Vilas Early Career Investigator award just last year. It is truly a testament to Melanie's research that she has gone from the junior to the senior award in just one year. Congratuations!
UW-Madison was one of the recipients of the 1.5M in funding from the The National Science Foundation (NSF) in funding for twelve Transdisciplinary Research in Principles of Data Science (TRIPODS) projects.
This new UW project will bring together the statistics, mathematics and theoretical computer science communities to develop the foundations of data science. One of the co-PI’s is Sebastien Roch, who worked with Qin Li, Jordan Ellenberg and Nigel Boston to help develop the proposal for the Institute for Foundations of Data Science (IFDS).
IFDS will serve as a hub for people across campus with expertise in mathematics, statistics, and computer science to explore new approaches to the formulation and solution of problems in data analysis, as well as to epitomize the possibilities of a collaborative approach to investigating fundamental issues in data science. IFDS will integrate with the broader UW-Madison agenda for data science research, creating a new home for research of a fundamental, theoretical nature. It will play a vital role in establishing graduate degree programs in data science and in outreach to industrial partners with interests in fundamental data science research.