Professional 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 & Methodologies
Research: Machine Learning, NLP, Deep Learning, Statistical Analysis
Technical: Python, PyTorch, TensorFlow, R, LaTeX
Academic: Grant Writing, Curriculum Design, PhD Supervision, Peer Review
Professional Experience
- 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
- 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)
- 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
2009 – 2013
University College London
Master of Computer Science
2007 – 2008
Imperial College London
Bachelor of Computer Science (Honours)
2003 – 2006
University of Edinburgh
Key Achievements
- Secured $2.4M+ in competitive research funding across 5 grants
- 35+ publications with h-index of 22 and 3,500+ total citations
- Faculty Teaching Excellence Award (2018)