CV

Education

[ 2023.09 ] - [ Now ]

[ Duke University, United States ] 

[ Postdoctoral Associate ]

At this stage, I'm conducting research at Duke University, concentrating on Spatial Transcriptomics data and Visium data, aiming to leverage deep learning methods to address these challenging scenarios.

[ 2017.09 ] - [2023.06]

[ Tongji University, China ] 

[ Ph.D. ]

Throughout this period, my research primarily centered on large-scale computing systems. I conducted automated diagnostic operations, employing a data analysis perspective to ensure the system's reliability.

Relevant Experiences

Teaching Assitant

[ 2022. 01 ] - [ 2022. 08 ]

[ Data collection and integration technology ]

[ Undergraduate courses ]

[ Tongji University ] 

This course focuses on techniques and tools used to gather data from various sources and integrate it into a unified format for analysis or processing. It involves methods for extracting, transforming, and loading (ETL) data from disparate sources, ensuring data quality, and creating a unified view for analysis.

[ 2021. 09 ] - [ 2022. 01 ]

[ Web technology basics  ]

[ Undergraduate courses ]

[ Tongji University ] 

This course encompasses the fundamental concepts and technologies used in building and maintaining websites and web applications. It includes knowledge about HTML, CSS, JavaScript, web servers, client-server architecture, web development frameworks, and other related technologies used to create web-based systems.

[ 2018. 09 ] - [ 2019. 01 ]

[ Information security theory and technology ]

[ Undergraduate courses ]

[ Tongji University ] 

This course involves studying the principles, methods, and practices to protect information and systems from unauthorized access, use, disclosure, disruption, modification, or destruction. It covers various aspects such as cryptography, network security, access control, risk management, and security protocols.

Talks

[ 2023.06 ]

[ The Chinese University of Hong Kong, Shenzhen ]

Abstract: Artificial Intelligence Operations (AIOps) involve the application of artificial intelligence to enhance and automate the operation and maintenance procedures. Its implementation spans various scenarios including IT systems, communication infrastructure, and software systems, among others. AIOps delves into analyzing operation and maintenance data such as logs, time series, and alarms to achieve system anomaly detection, early warnings, anomaly correlation analysis, and root cause identification. Building upon this foundation, it achieves automation and intelligence in the operation and maintenance processes. Specifically focused on log data analysis, methods for system operation and maintenance are developed with a structured approach involving log analysis, log feature extraction, log anomaly detection, intelligent early warning systems, and root cause analysis.

Other Experiences

[ 2017 - 2023 ]

[ Monitor ]

As a monitor of the class, I organized several activities, including “Thoughts of Doctors”, team-building activities, an academic intercourse forum, a basketball game, study meetings, a youth forum, etc. 

Honors

[ 2023 ]                [ Outstanding Graduates of Shanghai ]

[ 2018 ]            [ Social Activity Scholarship ]        

[ 2017 ]                 [ Outstanding Doctoral Freshman Scholarship ]

[ 2017 ]                 [ Outstanding Graduate Award ]

[ 2016 ]                 [ Outstanding Student Award ]

[ 2015 ]                 [ Second Prize in the National English Competition   for College Students ]

[ 2014 - 2015 ]  [ National Scholarship Award (2 times) ]

[ 2013 - 2017 ]  [ First Prize Scholarship (7 times) ]