CV

Venture Fellow, then BRIDGE Proof of Concept Fellow

ARTORG Center, University of Bern · Bern, Switzerland

Lead ContourAId, a platform combining automated contouring, contour quality assurance and real-time dose prediction for faster, safer radiotherapy planning.

• Funded by a University of Bern Venture Fellowship for feasibility and commercialization groundwork and, since 2026, an SNSF/Innosuisse BRIDGE Proof of Concept fellowship to develop it into a product.
• Co-authored DoMa-Seg with PhD student Jihe Li: dose-aware segmentation training with 12% lower dosimetric error on target volumes and 1.8× faster training than a state-of-the-art dose-aware method.
• Program chair of MIART 2026, the first MICCAI workshop on AI in radiation therapy.

Doctoral Researcher

Medical Image Analysis Lab, ARTORG Center, University of Bern · Bern, Switzerland

Advisor: Prof. Mauricio Reyes. In close collaboration with the Departments of Radiation Oncology at Inselspital Bern and the University Hospital Zurich. Co-developed PyRaDiSe, an open-source DICOM-RT auto-segmentation package.

• Showed that a deep-learning dose predictor flags dosimetrically sub-optimal contours better than radiation oncologists (MIDL 2024), after quantifying how often experts misjudge contour impact (Radiotherapy and Oncology 2025).
• Built ASTRA, dose-sensitivity maps that guide contour review (IEEE EMBC 2023), and co-developed a dual-layer QA system that caught 173 of 180 critical organ-at-risk contours while clearing 39% from manual review.
• Showed that extra U-Net skip connections trade robustness for accuracy under texture shift across ultrasound, histology, MRI and CT (MICCAI 2023; Computers in Biology and Medicine 2025).
• Supervised Master’s students and taught Medical Image Analysis.

Product Manager — AI in Academia (Asia Pacific)

MathWorks · Bangalore, India

Created AI teaching content adopted by 20+ universities and ran 40+ workshops and webinars; turned user feedback into requirements for MATLAB’s deep learning and computer vision toolboxes.

Engineering Trainee, then Software Engineer — Image Processing and Computer Vision

MathWorks · Natick, MA, USA

Shipped NIfTI medical image I/O (C++/MATLAB) in Image Processing Toolbox and lane-detection evaluation for automated driving; made the video reader run above 60 FPS and colour conversion over 20× faster.

Software Engineering Intern

Vital Images (now Canon Medical) · Minnetonka, MN, USA

Built Qt/C++ annotation and measurement features for 3D volume visualization in Vitrea.

Research Assistant

Center for Magnetic Resonance Research, University of Minnesota · Minneapolis, MN, USA

Diffusion MRI acquisition and reconstruction, with Prof. Christophe Lenglet and Prof. Tryphon Georgiou.

MAS, Translational Medicine and Biomedical Entrepreneurship

University of Bern · Part-time

Expected 2027.

PhD, Biomedical Engineering, summa cum laude

University of Bern · Bern, Switzerland

Thesis: Fast and Reliable AI-based Dosimetric Contour Quality Assurance for Radiotherapy. Advisor: Prof. Mauricio Reyes.

MS, Computer Science

Georgia Institute of Technology · Part-time, online

GPA 3.7/4.0.

MS, Electrical Engineering

University of Minnesota · Minneapolis, MN, USA

Thesis: A generalized CSA-ODF model for fiber orientation mapping. Advisor: Prof. Christophe Lenglet.

BTech, Electrical and Electronics Engineering

NIT Karnataka · Surathkal, India

Ranked 12th of 67 in the class.