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BIMSA Digital Economy Lab Seminar
How to Conduct Research in the Era of Artificial Intelligence -- An Analysis Study of a Biostatistical Application Example
How to Conduct Research in the Era of Artificial Intelligence -- An Analysis Study of a Biostatistical Application Example
Speaker
Time
Friday, March 14, 2025 3:00 PM - 4:30 PM
Venue
A3-2a-302
Online
Zoom 637 734 0280
(BIMSA)
Abstract
This talk explores how to conduct research in the era of artificial intelligence through an analysis study of a biomathematics application example. We possess our own specialized knowledge and traditional methods, or have developed our own unique algorithms. How can we leverage artificial intelligence (by using large general models to search for the latest literature, write code, integrate various machine learning/deep learning models, etc.) to further enhance our research? This is illustrated using a biological example involving the study of coding RNA and non-coding RNA (ncRNA). Through the natural vector method presented by Professor Yao’s biology team, the lecture explains how to classify coding RNA and non-coding RNA, distinguish among different types of non-coding RNAs, and create customized structural and functional datasets. It further investigates the functional boundaries and variations of small RNAs such as miRNA, siRNA, piRNA, pre-miRNA, and micro-RNA, exploring whether these variations (mutation or insertion) lead to a loss or transformation of function.
These studies significantly aid in deepening our understanding of miRNA mechanisms and will contribute to more precise annotation and functional research.
These studies significantly aid in deepening our understanding of miRNA mechanisms and will contribute to more precise annotation and functional research.
Speaker Intro
Researcher at Beijing Institute of Mathematical Sciences and Applications
Xi'an Jiaotong University, Bachelor's and Master's in Computational Mathematics.
UIC University, PhD in Computer Science, Research Direction: Nonlinear Filter Control, Supervisor: Stephen S.-T Yau 丘成栋
After graduation, he mainly worked in the field of wireless communications in the United States. He worked as a senior engineer in Lucent, Alcatel-Lucent, Nokia and other companies.
Joined Beijing Institute of Mathematical Sciences and Applications (BIMSA) in Jan. of 2024, currently engaged in research on neural networks, artificial intelligence, big data, machine learning and biomathematics.
Xi'an Jiaotong University, Bachelor's and Master's in Computational Mathematics.
UIC University, PhD in Computer Science, Research Direction: Nonlinear Filter Control, Supervisor: Stephen S.-T Yau 丘成栋
After graduation, he mainly worked in the field of wireless communications in the United States. He worked as a senior engineer in Lucent, Alcatel-Lucent, Nokia and other companies.
Joined Beijing Institute of Mathematical Sciences and Applications (BIMSA) in Jan. of 2024, currently engaged in research on neural networks, artificial intelligence, big data, machine learning and biomathematics.