CV
Education
PhD in Computer Science — Université de Sherbrooke & INSA Lyon. 2023 – Present
- Subject: Cardiac motion estimation with deep learning
- In collaboration with ICardio.ai (California, USA)
MSc in Computer Science — Université de Sherbrooke. 2021 – 2023
- GPA: 4.3 / 4.3
- Subject: Uncertainty estimation for medical image segmentation.
- In collaboration with Ultromics (Oxford, UK)
B.Eng. in Computer Engineering — Université de Sherbrooke. 2016 – 2020
- GPA: 4.18 / 4.3
Academic Experience
Summer School: Deep Learning in Medical Imaging — ETS Montréal & Université de Sherbrooke & INSA Lyon (Montréal / Lyon)
2024 – 2025
- Organizing committee member (2025, 2026) and supervisor/instructor for hands-on sessions
Reviewer - MedIA, IEEE TUFFC, ISBI. 2024 – Present
- Peer reviewer for journal and conference submissions in medical imaging and machine learning
Teaching assistant — Université de Sherbrooke
2021 – 2022, 2025, 2026
- IFT780, IFT603, PMC
Research collaboration — Ultromics (Oxford)
2019 – 2020
- Developed uncertainty estimation methods for echocardiography segmentation
Research Assistant — Videos & Images Theory and Analytics Laboratory (Université de Sherbrooke)
2018
- Built deep learning models for cardiac MRI segmentation
Selected Publications (Full list)
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T. Judge, O. Bernard, W.-J.C. Kim, A. Gomez, A. Beqiri, A. Chartsias, P.-M. Jodoin.
Uncertainty Propagation for Echocardiography Clinical Metric Estimation via Contour Sampling. Submitted, 2025. -
T. Judge, O. Bernard, W.-J. Cho Kim, A. Gomez, A. Chartsias, P.-M. Jodoin.
Asymmetric Contour Uncertainty Estimation for Medical Image Segmentation. MICCAI, 2023. -
M. Armenta*, T. Judge*, N. Painchaud, Y. Skandarani, C. Lemaire, G. Gibeau Sanchez, P. Spino, P.-M. Jodoin.
Neural Teleportation. Mathematics, 2023. -
T. Judge, O. Bernard, M. Porumb, A. Chartsias, A. Beqiri, P.-M. Jodoin.
CRISP – Reliable Uncertainty Estimation for Medical Image Segmentation. MICCAI, 2022. —
Work Experience
AI Developer — Mirametrix (Montréal)
2019 – 2020
- Developed a deep-learning-based system for automatic facial landmark annotation
- Built a new real-time facial landmark detection model
Research Professional — Videos & Images Theory and Analytics Laboratory (Sherbrooke)
Fall 2018
- Built a deep learning software library based on Keras
- Re-implemented legacy lab projects using the new library
- Managed pull requests for lab members and participated in research activities
Software Designer — HumanWare (Longueuil)
Winter 2018
- Developed AI components in Python with TensorFlow
- Re-trained deep CNNs for classification and object detection
- Built a model-serving architecture using Django REST Framework + TensorFlow Serving on AWS
Software Designer — HumanWare (Longueuil)
Summer 2017
- Developed Android (Java) applications for low-vision users
- Built a handwriting tool and integrated a Bluetooth keyboard into the app
Software Developer — PolarScreens Inc. (Longueuil)
2016
- Developed software for a glasses-free 3D display VR application
- Worked with Unity3D and C#; built demo applications for product promotion
Awards
- Mitacs Award for Exceptional Innovation (MSc) — 2022
- Canadian Academic All-Star, Vert & Or Soccer (Sherbrooke) — 2018, 2019, 2020
- Academic Excellence Attestation, Université de Sherbrooke — 2018, 2019, 2020
- Most Improved Athlete, Champlain College Cross-Country Team — 2016
- Dean’s List, Champlain College (90%+ average) — 2015
- National Scholar Award, Canadian Collegiate Sport Association — 2015/2016
Scholarships
- R3D Conseil Inc. Scholarship — 2023
- Sophie Germain Scholarships (Consulate General of France in Quebec City) — 2023
- Canada Graduate Scholarships — Doctoral (NSERC) — 2022
- FRQNT Doctoral Research Scholarship — 2022
- Mitacs Research Scholarship/Grant — 2021
- Canada Graduate Scholarships — Master’s (NSERC) — 2021
- FRQNT Master’s Research Scholarship — 2021
- Graduate Excellence Scholarship (Research), Université de Sherbrooke — 2021
- Hydro-Québec Scholarship for Academic Excellence — 2020