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Prof. Yanni SUN, 孫燕妮

  • YEUNG-P6513

Accepting PhD Students

Calculated based on number of publications stored in Pure and citations from Scopus
20032025

Research activity per year

Personal profile

Author IDs

ORCID iD: 0000-0003-1373-8023
Scopus Author ID: 7406432700

Impact

Qualifications (Brief)

PhD (Washington University in Saint Louis, USA); BS and MS (Xi'an JiaoTong University, China)

Qualifications/Experiences

  • Sep 2008 - Aug 2018, Assistant and Associate Professor, Michigan State University, East Lansing, USA. Dr. Sun joined the Department of Computer Science and Engineering at MSU as an Assistant Professor in 2008. She was promoted to Associate Professor with tenure in 2015.

Biography

Yanni Sun is an Associate Professor in the Department of Electrical Engineering at City University of Hong Kong. Before she joined CityU, she was an Associate Professor with tenure at Michigan State University (USA). She received the B.S., M.S. degrees from Xi'an JiaoTong University (China), and the Ph.D. degree from Washington University in Saint Louis, USA, all in Computer Science.

Her research interests include: computational biology, bioinformatics, deep learning-based sequence analysis, BIG genomic data mining, algorithm design and software development. In particular, she is interested in applying computational models, algorithms, machine learning/deep learning/data mining methods to analyze biological data. She was a recipient of NSF CAREER Award (USA) in 2010 while she was working at MSU.

Prizes/Honours

  • 2010 “NSF CAREER Award (USA) ” National Science Foundation.
  • 2019 “Outstanding Teacher Award” Electrical Engineering Department, City University of Hong Kong. Department teaching award.
  • 2021 “Outstanding Teacher Award” Electrical Engineering Department, City University of Hong Kong. Department teaching award.

Research Interests/Areas

  • Bioinformatics, deep learning for genomic data

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 5 - Gender Equality
  • SDG 7 - Affordable and Clean Energy
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 15 - Life on Land

Related Links

Keywords

  • QA75 Electronic computers. Computer science
  • Bioinformatics
  • applied machine learning
  • big genomic data

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