Skills
Research
Machine Learning, NLP, Deep Learning, Statistical Analysis
Technical
Python, PyTorch, TensorFlow, R, LaTeX
Academic
Grant Writing, Curriculum Design, PhD Supervision, Peer Review
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.
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