Ke Li
Scholar

Ke Li

Google Scholar ID: lUFU8KsAAAAJ
Department of Computer Science, University of Exeter
AI for life sciencesMulti-objective optimizationLarge-scale machine learningHuman-in-the-loop
Citations & Impact
All-time
Citations
6,438
 
H-index
39
 
i10-index
110
 
Publications
20
 
Co-authors
5
list available
Resume (English only)
Academic Achievements
  • Several papers accepted to AAAI 2026 Main Track and AISI Track, one paper selected as a spotlight at NeurIPS 2025; a survey on multi-fidelity methods for optimization accepted by ACM Computing Surveys.
Research Experience
  • Current member of the COLA laboratory; involved in various research projects such as developing a framework to evaluate the factuality of LLMs for medical QA, augmenting biological fitness prediction benchmarks, etc.
Background
  • Research interests include black-box optimization and decision-making (especially with multiple conflicting objectives), as well as applications in life sciences (including bioscience and healthcare) and software engineering. Particularly enthusiastic about AI+X (integrating AI with application domains denoted by “X” to enhance, innovate, or transform the domain).
Miscellany
  • Became an ELLIS Member; successfully proposed to host the 2027 IEEE Congress on Evolutionary Computation (CEC) in Edinburgh; co-PI in a Faraday Discovery Fellowship led by Prof. Yiliang Ding at the John Innes Centre.