Dr. Kakashi Hatake

Associate Professor of Computer Science

[email protected] +58 412 345 6789 linkedin.com/in/kakashi-hatake
DOB: 15/03/1990 Nationality: Venezolano(a) Status: Soltero(a)
Español (Nativo)Inglés (B1 — Intermedio)

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.

Professional Experience

Associate Professor

University of Queensland — Caracas, Venezuela
Jan 2020 – Present
  • 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 — Valencia, Venezuela
Mar 2016 – Dec 2019
  • 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 — Maracaibo, Venezuela
Jun 2013 – Feb 2016
  • 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

Doctorado en Ciencias de la Computación

2009 – 2013
Universidad Central de Venezuela (UCV)

Máster en Ciencias de la Computación

2007 – 2008
Universidad Simón Bolívar (USB)

Bachelor of Computer Science (Honours)

2003 – 2006
Universidad de Carabobo

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