Curriculum Vitae
Research Fellow in computational pathology and multimodal medical AI at the Australian Institute of Health Innovation, Macquarie University. A summary is provided below; the full CV is available as a PDF.
Current Position
Research Fellow
Australian Institute of Health Innovation (AIHI), Macquarie University, Sydney, Australia
Mar 2026 – Present
Education
PhD, Computer Science and Engineering
UNSW Sydney, Australia
2022 – 2026
Thesis: Advancing Computational Pathology with Multimodal Deep Learning. Supervised by Prof. Erik Meijering, Prof. Anant Madabhushi, and A/Prof. Ewan Millar.
Master of Biomedical Engineering (MEng), Highest Distinction
Northeastern University, China
2018 – 2021
BSc, Electrical and Electronic Engineering, High Distinction
BRAC University, Dhaka, Bangladesh
2013 – 2017
Appointments & Research Visits
Postdoctoral Writing Fellow (Research-only)
UNSW Sydney, Australia
Nov 2025 – Jan 2026
Visiting Researcher
Schüffler Lab (AI for Pathology), Technical University of Munich, Germany
Oct 2025
Visiting Fellow
Madabhushi Lab, Georgia Institute of Technology & Emory University, Atlanta, USA
Dec 2024 – Apr 2025
Casual Academic Staff
School of Computer Science and Engineering, UNSW Sydney, Australia
May 2022 – Present
Selected Honours & Awards
- 2025 ScholarGPS Highly Ranked Scholar (Prior Five Years) in Histopathology — top 0.05% of scholars worldwide.
- 2025 Arc PGC Research Candidate Award (Faculty of Engineering), UNSW Postgraduate Council.
- 2024 DAAD AInet Fellow (Postdoc-NeT-AI – AI for Science).
- 2022–2025 UNSW University International Postgraduate Award (UIPA).
- 2022– Four papers recognised as ESI Highly Cited Papers (top 1% in Engineering).
- 2018–2021 Chinese Government Scholarship.
See the home page for the full list of honours and the PDF CV for complete details.
Research Interests
Publications & Profiles
Over 40 peer-reviewed papers (H-index 25, 3,500+ citations). See the full publication list, Google Scholar, and ORCID.