Hi there! 👋
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🤖 I'm Ishara — a senior engineer with 8+ years of experience working across medical imaging, computer‑vision‑based robotics and automation, neurotechnology, and applied AI/ML, delivering end‑to‑end solutions from data to deployment.
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📈 I have built intelligent systems for regulated, high performance environments from prototypes to reproducible, scalable solutions, ensuring methods and outputs are robust, well‑validated, and ready for reliable real‑world use.
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🧠 My current work focuses on developing AI‑driven quantitative PET/MR biomarkers to support early diagnosis, treatment monitoring, and evidence‑based clinical decision‑making in Alzheimer’s disease.
- 🚀 To learn more about my work, check out my resume and Google Scholar profile.
Recent updates
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Comparison of visual read performance of NAV and FBP Aβ PET against AI-enabled Centiloid quantification (DeepSUVR)
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— External funding secured - Lilly Research Award ProgramValidate ARIA Risk genes using brain MRI/PET imaging endpoints: A collaborative project with Eli Lilly & Company (USA) & Edith Cowan University (Australia)
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A deep learning method to improve Aβ PET Centiloid quantification
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— Facilitated a panel discussion - IMNIS CatalystHealth technology panel discussion on STEM careers in industry targeted for IMNIS mentees
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Interview about my PhD work: Transforming Infant Hearing Care with Objective Neuroimaging Measures
Professional Experience
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Aug 2024 — Present
CERC Fellow — Neuroimaging Team (Full‑time)
Developing AI‑enabled imaging biomarkers (PET/MR) to support early detection and treatment monitoring in Alzheimer’s disease.
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May 2024 — Aug 2024
BridgeTech Program Participant
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Feb 2021 — Aug 2024
Teaching Associate (Casual)
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Feb 2020 — Feb 2024
PhD Candidate — Human Hearing Group/Neurobionics Lab (Full‑time)
Developed objective neuroimaging measures (fNIRS) for early diagnosis and intervention of hearing impairment in infants.
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Jun 2016 — Dec 2019
Research Engineer — Robotics Innovation Laboratory (Full‑time)
Built an ultrasound-guided robot-assisted needle tracking for kidney stone removal surgery and a portable, low-cost, self-initialising robotic micromanipulation system for cell handling.
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Oct 2014 — Mar 2015
Research Intern — SUTD‑MIT International Design Centre (Full‑time)
Automated IVF lab procedures with vision-based detection & tracking of blastomere and micropipette, improving procedural accuracy and efficiency.