Dr. Sarah Williams

s.williams@university.edu +49 170 1234567 linkedin.com/in/sarahwilliamscs

DOB: 15.03.1990 Nationality: Australian

English (Native)German (B2)

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

Associate Professor

Jan 2020 – Present

University of Queensland, Berlin, Germany

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

Mar 2016 – Dec 2019

University of Melbourne, Munich, Germany

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

Jun 2013 – Feb 2016

Stanford University, Hamburg, Germany

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

Skills

Research: Machine Learning, NLP, Deep Learning, Statistical Analysis

Technical: Python, PyTorch, TensorFlow, R, LaTeX

Academic: Grant Writing, Curriculum Design, PhD Supervision, Peer Review

Education

PhD in Computer Science

2009 – 2013

TU Berlin

Master of Computer Science

2007 – 2008

TU Munich

Bachelor of Computer Science (Honours)

2003 – 2006

University of Heidelberg