Doctoral Student Profiles

Derek Drumm

I enjoy all of mathematics, but I have a particular interest in Design Theory, Graph Theory, and General Topology. For my masters thesis, I developed a method of construction for the National Football League (NFL) game schedule, and I have independently studied connected and disconnected topological spaces.

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Jiamin Jian

This is Jiamin Jian, a Ph.D. student in Mathematical sciences. I got my Master's degree from the City University of Hong Kong in 2019 and my Bachelor's degree from Nankai University in 2018. At WPI, my advisor is Prof. Qingshuo Song. I am interested in Stochastic Control theory and Mean Field Games.

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Wenjing Li

As a PHD student in the Department of Mathematical Sciences, I am looking forward to exploring interesting research topics, such as ensemble learning, in the field of Statistical Modeling and Analysis. I also enjoy communicating mathematical problems with both students and professors.

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Abigail Lindner

I am an aspiring applied mathematician exploring mathematical biology problems related to bacteria and filtration with Dr. Francesca Bernardi. Before joining WPI in 2022, I attended Regent University, a liberal arts college in Virginia Beach, VA, where I graduated magna cum laude with a B.S. in Mathematics.Originally from China and raised in Southern California, I now call Massachusetts home. Outside of mathematics, I enjoy practicing yoga, reading a variety of fiction (any genre but horror!), trying new vegan recipes, and drinking oatmilk lattes in little cafes.

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Elisa Negrini

My name is Elisa Negrini and I am a PhD student in the Mathematical Sciences department. I come from Italy and obtained my undergraduate and master’s degree in Mathematics from the University of Bologna in 2015 and 2017, respectively. Since my first year as a PhD student, I have developed a strong interest in the mathematical foundations of data science problems; in particular, my research interests focus on deep neural networks which have demonstrated stunning empirical results across many applications (like vision, natural language processing, and reinforcement learning), but for which ...

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