Portfolio — Est. 2015
Peyman
(Paul) Obeidy
Biomedical Engineer · Imaging Data Scientist · AI Engineer · Founder
A researcher and engineer working at the intersection of medical imaging, machine learning and clinical practice — building AI-native tools that turn complex imaging data into trustworthy, human-centred decisions.
01 — Profile
Imaging data scientist.
Imaging Data Scientist with a PhD in Medical Science and specialised expertise in machine learning and AI-driven imaging applications. Since 2021, focused on developing AI-based tools for structured report generation and CTCA image processing. Completed a one-year secondment to Siemens Healthineers, bridging academia and industry. Founder of Sj iTech, building AI-native systems for healthcare and service businesses. AIN certified with hands-on clinical experience.
02 — Work Experience
A decade of applied imaging science.
From confocal microscopy and flow cytometry to cardiac CT and AI-native health-tech — a career spent moving imaging research into real clinical and commercial impact.
Engineering Lead and IT Manager
- Founded an AI-focused health-tech company specialising in workflow automation and AI medical imaging
- Led development of AI models for content generation and lung screening image analysis
- Designed and deployed telehealth-adjacent digital health infrastructure for healthcare clients
- Built voice AI receptionist (Retell AI + Twilio SIP), patient intake systems (React), and clinical workflow automation (n8n)
- Directed commercialisation strategies and client collaborations
- Acting internal ICT manager: managed software subscriptions, cloud infrastructure, and technical operations
Engineering Lead and IT Manager
- Developed chatbots using Microsoft Copilot and n8n
- Integrated medical imaging algorithms (e.g. Sybil) into PACS workflows
Medical Imaging Data Management Course Coordinator
- Contributed to developing and delivering a Postgraduate Academic unit in Clinical Imaging
- Led scholarly activities and professional development workshops involving lectures, radiologists, and clinicians
- Developed and prepared exam questions covering 20% of course content
- Led discussion sessions on RIS, PACS, Medical AI, and medical image cybersecurity (40% of final grade)
- Monitored student progress and satisfaction across academic programs
- Prepared agendas and reports for Academic Board, Course Progress, and Teaching and Learning Committees
Senior Postdoctoral Scientist / Machine Learning Imaging Scientist
- Developed and implemented machine learning models with 79% accuracy for silicosis feature identification from CT scans
- Managed and analysed 1.5 million CT scans dataset using MySQL client DBeaver and Power BI
- Published peer-reviewed paper in Cancers journal on recalibrating AI models for breast cancer diagnosis
- Secured three funding sources: $20,000 Cancer Partners Seed Fund, $22,000 in-kind from Patient Zero Company, $3,000 from AstraZeneca lung cancer hackathon
- Supervised an Honours student whose proposal earned a distinction and was selected for oral presentation at RANZCR 2024
Internal ICT Manager (School of Biomedical Engineering)
- Established the ICT function of the newly formed School of Biomedical Engineering
- Managed software licenses for SolidWorks and COMSOL
- Liaised with COMSOL, the National Computational Infrastructure (NCI), and the University network manager
- Configured NCI firewall access for software license checkout from the university network
- Served as the school’s primary internal ICT point of contact
Project Manager – Siemens and iCoreLab Collaboration
- Reviewed milestones and deliverables across 3 years of project progress against original timeline
- Identified roadblocks, delays, and communication gaps through detailed contract and email analysis
- Developed and executed action plans with assigned tasks, deadlines, and responsible parties
- Tested and validated prototypes across 3,000+ CTCA scan subjects
- Improved observer accuracy to 95% and data processing speeds by 15% through training and troubleshooting
- Achieved expert accuracy comparison rate of over 90% in cardiac CTCA annotation
Research Scientist (Postdoctoral)
- Managed imaging data analytics, data curation, and pipeline development for the National BioHEART project
- Applied statistical methods to interpret complex imaging data, improving image quality and reliability
- Ensured all imaging processes complied with industry standards
- Secured $163,000 REDI Fellowship through investor engagement with the Snow Foundation
Casual Academic – School of Biomedical Engineering
- BMET2901 Anatomy and Physiology for Engineers
- BMET1960 Biomedical Engineering 1A: Introduction to medical imaging and tissue engineering
- BMET2960 Biomedical Engineering 2: Applied mathematics, heat regulation and physiological signals
- BMET5222 Dissertation A (12 cp)
- BMET2922 Computational Analysis for Biomedical Signals
Postdoctoral Biomedical Scientist
- Developed high-resolution microscopy techniques
- Assembled a Coherent anti-Stokes Raman Scattering (CARS) system including FV1200 Microscope, time-delay stage, and InSight X3 fs laser source
- Added Stimulated Raman Scattering (SRS) and Sum-Frequency Absorption modalities
- Trained in image segmentation using U-Net and TensorFlow on Google Colab
- Implemented novel techniques for evaluating skin topography images
Postdoctoral Biomedical Scientist
- Discovered novel immune cell-associated protein behaviour
- Captured high-resolution time-series fluorescence microscopy using Leica SP5 and SP8 Confocal
- Operated LaVision Biotech Multiphoton Intravital, IncuCyte S3, BD Pathway, Leica DM6000B, and DeltaVision
- Developed image segmentation algorithms in MATLAB
- Collected Flow Cytometry data (1M+ events per sample, 80+ samples) using LSR Fortessa, BD Influx, FACSCanto, FlowJo
- Group Leader, NHMRC Gender Equity Program (2017-2018)
- Advisor, Student Committee (2016-2018)
03 — Education
Grounded in rigorous science.
A biophysics PhD and layered training across engineering, molecular biology and immunology — the foundation for a career spanning bench science to clinical AI.
04 — Certifications & Clinical Qualifications
Credentials that bridge worlds.
Clinical, technical and commercial qualifications that support hands-on work across hospitals, industry and startups.
05 — Awards & Grants
Backed by peers and industry.
Competitive fellowships, innovation challenges and research grants awarded across academia and industry partners.
| Award / Grant | Awarding Body | Year | Amount |
|---|---|---|---|
| Second Place and People’s Choice, Breath of Fresh Air Innovation Challenge | UNSW Founders and AstraZeneca | 2024 | $3,000 |
| Digital Transformation Data Pipeline Marketing Discovery | Patient Zero Pty Ltd | 2023 | $22,000 |
| Content-Based Image Retrieval for Lung Cancer Prediction | Sydney Cancer Partners, Cancer Institute NSW | 2023 | $20,000 |
| REDI Fellowship | Australia’s Life Sciences Innovation Accelerator (MTPConnect/MRFF) | 2022 | $163,659 |
| Associate Investigator, USYD Medical Fellowship | The University of Sydney | 2018-2020 | $128,350 |
| Travel Grants (x6) | Various | 2014-2022 | Various |
06 — Technical Skills
A full-stack imaging toolkit.
From low-level image processing and clinical data standards to modern AI agent tooling and cloud infrastructure.
Programming
AI and ML
AI APIs and Agents
Medical Imaging
Automation
Cloud and Infrastructure
Data
Version Control
Development Environment
Frontend
Project Management
Domain Knowledge
07 — Publications
Fifteen years of peer-reviewed work.
From single-molecule biophysics and immunology to clinical AI imaging — a research record spanning bench science to translational health-tech, per Google Scholar.
08 — Teaching Experience
Passing on imaging literacy.
Postgraduate lecturing and curriculum development in clinical and physical image measurement at the University of Sydney.
Lecturer
- MRSC5045: Physical Image Measurement (non-clinical) and Clinical Image Measurement
- MRTY2103: Image Optimisation and Processing, Frequency and Spatial Domain Filters
Casual Academic
- Integrated real-world examples into curriculum (e.g. FFT noise removal technique that saved $180K in experiments)
09 — Professional Memberships & Service
Contributing beyond the bench.
Committee, advisory and leadership service supporting academic integrity, equity and clinical imaging partnerships.
- Academic Integrity Officer, University of Sydney (2020-2021)
- Academic Representative, School WHS Committee, University of Sydney (2020-2021)
- Leadership Group Member, Clinical Imaging Partnerships (SCIN)
- Group Leader, NHMRC Gender Equity Program, Centenary Institute (2017-2018)
- Advisor, Student Committee, Centenary Institute (2016-2018)