Edan Habel

PhD Chemistry | AI-enabled research | Complex analysis | Data visualisation

I am a recent PhD graduate with experience in structural biology research, focused on integrating complex physical data with intuitive protein models, with a layer of generative AI.

I am based in Sydney, Australia. Alongside my core research skills, I have a keen interest in how to weave together diverse data to generate meaning and motivate informed decisions. I am looking for work opportunities to generalise my experience to new areas.

Experience

Honorary Researcher

Research School of Chemistry, Australian National University · Feb 2026–present

Postdoctoral Researcher

Cox Group | Research School of Chemistry, Australian National University · Nov 2025–Feb 2026

ANU Council Member

Australian National University · Dec 2023–Dec 2024

Departmental Officer

Office of the Gene Technology Regulator, Department of Health · Nov 2021–Feb 2022

Education

PhD Chemistry

Huber Group | Research School of Chemistry, Australian National University · Feb 2022–Dec 2025

Thesis: Biophysical principles for the design of photoluminescent proteins

Bachelor of Science (Honours) (Chemistry, Biology)

Australian National University · Feb 2015–Nov 2021

Thesis: Biophysical applications of fluorinated non-canonical amino acids

Bachelor of Arts (French, Philosophy)

Australian National University · Feb 2015–Nov 2020

Interests

  • Protein engineering & computational biology
  • AI-enabled scientific workflows
  • Data analysis & visualisation
  • Science policy & governance
  • Science communication
  • Organisational decision-making

Methods

Python Generative AI workflows Multi-modal data analysis Claude code MATLAB RFDiffusion