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We are excited to welcome Sara Algeri and Jie Ding to our faculty starting in the Fall 2018.

By way of introduction, Sara and Jie wrote …

Sara Algeri:

"I am extremely excited to join the School of Statistics at the University of Minnesota in the fall!

I grew up in the Alpine foothills of Bergamo in Northern Italy and I moving to Minneapolis from London (UK) where I am completing my doctoral studies at Imperial College London. I obtained my Bachelor degree and my first Master degree from the University of Milano-Bicocca (Milan, Italy). I further pursued a second Master degree at Texas A&M University (College Station, TX). During both my Master degrees and Ph.D, I had the opportunity to visit several academic institutions including Mount Sinai School of Medicine (New York, NY),  MD Anderson Cancer Center (Houston, TX) and the Oskar Klein Centre for Cosmoparticle Physics (Stockholm, Sweden).

My research interests mainly lie in astrostatistics, computational statistics and foundations statistics. The main purpose of my work is to provide highly generalizable statistical solutions which directly address fundamental scientific questions, and can at the same time be easily applied to any other scientific problem following a similar statistical paradigm.  In line with this, motivated by the problem of the detection of particle dark matter, my current research focuses on hypothesis testing methods for signal identification, structural change detection and model selection, under stringent significance requirements.

I mainly dedicate my free time cultivating my Italian heritage and exploring different cultures through highly disputable cooking experiments."

Jie Ding:

“I am super excited to be part of the School of Statistics at University of Minnesota.  

I received my Bachelor degree from Tsinghua University and Ph.D. degree from Harvard University. Then I started to work as a Postdoc Fellow at the Information Initiative at Duke. I am interested in developing foundational principles and efficient algorithms to facilitate data-driven scientific discovery and industrial processing of data.

My research topics include time series, model selection, signal processing, combinatorial design, data mining infrastructure, with applications to various domains.”

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