# Lisha Yu > researcher **Wikidata**: [Q100389572](https://www.wikidata.org/wiki/Q100389572) **Source**: https://4ort.xyz/entity/lisha-yu ## Summary Lisha Yu is a researcher and university teacher working in Hong Kong whose work focuses on computer science and data science. She holds a Doctor of Philosophy from City University of Hong Kong (completed 2019) and joined Lingnan University as an academic staff member beginning August 2024. ## Biography - Education: Doctor of Philosophy, City University of Hong Kong (PhD completed 2019-10-16); Master of Mathematics (Statistics), University of Waterloo (completed 2012) - Known for: Research and academic work in machine learning, quality engineering, and health monitoring - Employer(s): Lingnan University (appointed from 2024-08); affiliated with City University of Hong Kong as doctoral researcher during PhD studies - Field(s): Computer science; Data science ## Contributions The available source material documents Lisha Yu as an active researcher and academic with advanced training and institutional profiles but does not list specific paper titles, patents, products, or open-source projects. Concrete, verifiable items in the public record include her Doctor of Philosophy completed at City University of Hong Kong (PhD completed 2019-10-16) and her earlier Master of Mathematics in Statistics from the University of Waterloo (2012). Her doctoral work is archived in City University of Hong Kong’s thesis repository (CityU theses profile). From institutional profiles (CityU scholar profile and Lingnan University scholar page), she is identified with research interests in machine learning, quality engineering, and health monitoring and has a professional web profile hosted by CityU and by Lingnan University. Her appointment to Lingnan University began in August 2024, marking a transition to a university teaching and research role in Hong Kong. Beyond these records, the provided sources do not enumerate individual publications, named projects, or specific research outputs with titles and years. ## FAQs ### Q: What is Lisha Yu's current role? A: She is an academic and researcher appointed at Lingnan University beginning August 2024 and works in Hong Kong. ### Q: What is her educational background? A: She holds a Doctor of Philosophy from City University of Hong Kong (PhD completed 2019-10-16) and a Master of Mathematics in Statistics from the University of Waterloo (completed 2012). ### Q: What does she research? A: Her documented research interests are machine learning, quality engineering, and health monitoring. ## Why They Matter Lisha Yu’s significance in her field is grounded in her advanced academic training and her role in Hong Kong higher education. Completing a PhD in 2019 from City University of Hong Kong positions her as a scholar trained to conduct independent research in computer science and data science. Her subsequent appointment at Lingnan University (from August 2024) places her in a role to contribute to teaching, supervise students, and strengthen research activities locally. Her stated interests — machine learning, quality engineering, and health monitoring — align with areas of applied data science that connect methodological research with practical problems in industry and healthcare. Even though specific publications or projects are not listed in the provided sources, her institutional profiles and archived doctoral thesis indicate she adds capacity to the academic community through research, mentorship, and curriculum delivery. Without scholars like her, universities would have reduced capacity to train students and conduct applied research in these technically specialized areas. ## Notable For - Earning a Doctor of Philosophy from City University of Hong Kong (PhD completed 2019-10-16). - Holding a Master of Mathematics (Statistics) from the University of Waterloo (completed 2012). - Appointment to Lingnan University as academic staff beginning August 2024. - Research interests focused on machine learning, quality engineering, and health monitoring. - Maintaining institutional researcher profiles at City University of Hong Kong and Lingnan University (public scholar pages). ## Body ### Names and identity - Family name: Yu. - Given name recorded as two elements: "Li" (first) and "Sha" (second). - Alias: Yu Lisha. - Sex/gender: Female. - Languages: English (documented on web profiles). ### Education and training - University of Waterloo — Master of Mathematics (Statistics), completed 2012. - City University of Hong Kong — Doctor of Philosophy (PhD), completed 2019-10-16. - Her doctoral thesis is archived in CityU’s thesis repository (CityU thesis profile referenced in institutional records). ### Academic appointments - Lingnan University — listed as employer, with start time recorded as 2024-08 (appointment documented in institutional sources dated 2024-06-14). - Work location: Hong Kong (documented on Lingnan University profile). ### Research scope and interests - Primary fields of work: Computer science and data science (documented in institutional profile). - Declared research interests include: - Machine learning - Quality engineering - Health monitoring ### Public profiles and online presence - City University of Hong Kong scholar profile: https://scholars.cityu.edu.hk/en/persons/lisha-yu(b1dfa0d3-f5c3-4582-8582-41fe3439a94c).html (English; archived reference date 2021-01-10). - Lingnan University scholar profile: https://scholars.ln.edu.hk/en/persons/lisha-yu (preferred; profile reference date 2024-06-14). - ORCID-linked researcher URL referenced in CityU records. ### What is not documented in provided sources - No specific paper titles, conference presentations, patents, products, company founding, or named open-source projects are listed in the supplied source material. - No birthplace or nationality is recorded in the provided data. ## References 1. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0001-8025-6396/education/6043609) 2. [Source](https://scholars.cityu.edu.hk/en/theses/theses(a5a92b41-8aa6-4dfa-b830-d7dc1f9cceb7).html) 3. [Source](https://www.ln.edu.hk/sds/dai/people) 4. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0001-8025-6396/researcher-urls/1472789)