Dr. Kakashi Hatake

Associate Professor of Computer Science

Contact

kakashi@konoha.edu
+58 412 345 6789
linkedin.com/in/kakashi-hatake
github.com/kakashihatake

Details

DOB: 15/03/1990 Nationality: Venezolano(a) Status: Soltero(a)

Education

Doctorado en Ciencias de la Computación
Universidad Central de Venezuela (UCV) · 2009 – 2013
Máster en Ciencias de la Computación
Universidad Simón Bolívar (USB) · 2007 – 2008
Bachelor of Computer Science (Honours)
Universidad de Carabobo · 2003 – 2006

Skills

Investigación
Machine Learning · NLP · Deep Learning · Statistical Analysis
Técnico
Python · PyTorch · TensorFlow · R · LaTeX
Académico
Grant Writing · Curriculum Design · PhD Supervision · Peer Review

Languages

Español (Nativo) · Inglés (B1 — Intermedio)

Profile

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.

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)

Experience

Associate ProfessorJan 2020 – Present
University of Queensland — Caracas, Venezuela
  • 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 LecturerMar 2016 – Dec 2019
University of Melbourne — Valencia, Venezuela
  • 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 FellowJun 2013 – Feb 2016
Stanford University — Maracaibo, Venezuela
  • 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