Tag: mathematics

Kliakhandler sponsors A Workshop on Applied and Numerical Mathematics

The Department of Mathematical Sciences hosted A Workshop on Applied and Numerical Mathematics, sponsored by generous gifts from Igor Kliakhandler and the Applied Mathematics Department at University of Colorado Boulder. The workshop was held June 8 – 10, 2026 in the U.J. Noblet Forestry Building. Held to celebrate the 80th birthday of renown mathematician, Bengt Fornberg, the workshop brought together leading international experts from across the field of numerical analysis, with a central focus on high-order methods for solving partial differential equations. The workshop was structured with a strong educational emphasis, particularly aimed at graduate students and early-career researchers across STEM disciplines. The mornings were devoted to lectures on modern high-accuracy numerical techniques, while the afternoons featured research talks covering a broad range of topics, including, but not limited to, recent advances in the discretization of differential and integral operators, as well as methods based on rational functions, radial basis functions (RBFs), and finite difference approaches.

Xiaoqing Gao 3-Minute Thesis 2022

Xiaoqing Gao
Michigan Tech PhD student Xiaoqing Gao

We are honored in the Mathematical Sciences Department to have one of our PhD students Xiaoqing Gao compete in the 2022 3-Minute Thesis Competition. This is such awe-inspiring experience and accomplishment for our students.

What is 3MT?

The 3MT is an important international competition that aims at celebrating research conducted by doctoral and masters students. According to the University of Queensland, founder of the event, the 3MT “cultivates students’ academic, presentation, and research communication skills”.

Participants have three minutes and a single static slide to effectively explain their research in a language that is appropriate to a non-specialist audience.

Xiaoqing Gao Awarded 1st Place

I am a PhD student majoring in Biostatistics under the supervision of Dr. Kui Zhang. The current research is focused on ‘Using LSTM machine learning method to do HLA imputation.’

Presented research is about using viral genomic sequences to predict human-infecting viruses.

Abstract: Covid-19 pandemic results in crucial modification in our lives. To prevent outburst of a new virus, it is essential to understand if a virus is capable of infecting humans. As the technology of genomic sequence detection is getting mature, it is efficient and consequential if we could analyze the virus characteristics and perform the prediction based on the given sequences. The goal of her paper is to predict if a virus is a zoonotic virus and evaluate the extent of the zoonotic virus.

Also, I would like to appreciate my advisor Dr. Kui Zhang for the guidance of this paper and my career. It is a great pleasure to study in this department.

-Xiaoqing Gao

Xiaoqing was awarded First Place in the competition. Such an amazing experience and so very impressive to do this in just 3-minutes.

If you see Xiaoqing please join me in congratulating on such a huge accomplishment! We are so proud of you.