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How to Conduct Research in the Era of Artificial Intelligence -- An Analysis Study of a Biostatistical Application Example

组织者

韩立岩 , 李振 , 龙飞 , 汤珂 , 王玉

演讲者

胡国庆

时间

2025年03月14日 15:00 至 16:30

地点

A3-2a-302

线上

Zoom 637 734 0280 (BIMSA)

摘要

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.

演讲者介绍

北京雁栖湖应用数学研究院研究员
西安交通大学, 计算数学专业, 本科，硕士。
美国UIC大学，计算机科学，博士, 研究方向：非线性滤波控制，导师：Stephen S.-T Yau 丘成栋
毕业后主要在美国的无线通信领域工作。他曾在朗讯、阿尔卡特朗讯、诺基亚等公司担任高级工程师。
2024 年 1 月加入北京数学科学与应用研究院（BIMSA），目前从事神经网络、人工智能、大数据、机器学习和生物数学方面的研究。