Dr. Sarah Williams
Associate Professor of Computer Science
DOB: 15-03-1990
s.williams@university.edu
+31 6 1234 5678
linkedin.com/in/sarahwilliamscs
Summary
Associate Professor of Computer Science with 12+ years in academia, specialising in machine learning and natural language processing. Published 35+ peer-reviewed papers (h-index 22) and secured over $2.4M in competitive research funding. Passionate about bridging industry and academia through applied research and mentoring the next generation of researchers.
Skills
Machine Learning
Natural Language Processing
Deep Learning
Research Leadership
Grant Writing
Python
PyTorch
TensorFlow
Statistical Analysis
Academic Publishing
Curriculum Design
PhD Supervision
Peer Review
Experience
Associate Professor
— University of Queensland, Amsterdam, Netherlands- Lead the NLP & Applied ML research group (8 PhD students, 3 postdocs)
- Secured $1.8M ARC Discovery Grant for explainable AI research programme
- Published 12 papers in top-tier venues (NeurIPS, ACL, EMNLP) since 2020
- Redesigned postgraduate ML curriculum adopted by 3 partner universities
- Supervised 6 PhD completions with 100% employment placement rate
Senior Lecturer
— University of Melbourne, Rotterdam, Netherlands- Taught undergraduate and postgraduate courses (200+ students/semester)
- Co-authored textbook 'Applied Machine Learning' adopted by 15+ institutions
- Established industry partnership programme with 4 tech companies
- Received Faculty Teaching Excellence Award (2018)
Postdoctoral Research Fellow
— Stanford University, Utrecht, Netherlands- Conducted research in deep learning for biomedical text mining
- Published 8 papers with 1,200+ citations
- Collaborated with Stanford NLP Group on open-source toolkit development
Education
PhD in Computer Science
— Delft University of TechnologyMaster of Computer Science
— University of AmsterdamBachelor of Computer Science (Honours)
— Erasmus University RotterdamReferences
Jane Smith, Director, University of Queensland — jane.smith@company.com | +31 6 1234 5678
John Doe, CTO, University of Melbourne — john.doe@company.com | +31 6 1234 5678