News

Oct 22, 2026 Talk On 28 October, I’ll explain my research to a general audience at Science Slam Bern 4.0, Stellwerk Bern, following my Falling Walls Lab pitch, which won the Western Switzerland round in 2024.
Oct 22, 2026 Talk At the ENLIGHT Teaching & Learning Conference in Bern, I presented the image analysis course I teach, where students build an app with AI coding tools but are graded on explaining how it works (student rating 4.96/5).
Oct 01, 2026 Leadership As a program chair, I co-organized the first MIART workshop on AI in radiation therapy at MICCAI 2026 in Strasbourg: 27 peer-reviewed papers from 14 countries.
Oct 01, 2026 Publication Our MIART 2026 paper DoMa-Seg, a collaboration led by PhD student Jihe Li, builds radiation dose into segmentation training: 12% lower dosimetric error for target volumes and 1.8× faster training than a state-of-the-art dose-aware method. Code.
Jun 25, 2026 Award My PhD thesis on dose-aware AI quality assurance for radiotherapy was a finalist for the GCB Best Thesis Award 2025, and my PhD was awarded summa cum laude.
Jun 01, 2026 Grant One of eighteen Bridge Proof of Concept Fellows in the 37th call: 12 months of SNSF and Innosuisse funding to take ContourAId from research to product.
Sep 11, 2025 Talk At SASRO 2025 in Davos, I presented my PhD work to the Swiss radiation oncology community: a dose predictor that flags dosimetrically sub-optimal contours in near real time, outperforming the radiation oncologists it was tested against. You can read more.
Sep 06, 2025 Publication In Computers in Biology and Medicine, we show that more complex U-Net variants are not automatically more robust: under texture variations, an attention-gated U-Net fell below a plain U-Net without skip connections. Read more.
Jun 26, 2025 Publication Our survey in Radiotherapy and Oncology (Green Journal) shows that experts often misjudge the dose impact of contour changes: 46% of dosimetrically neutral variations were rated worse, and no real improvement was recognized. Read more.
Apr 11, 2025 Grant Selected as one of five University of Bern Venture Fellows (from 11 applicants), with CHF 100,000 to develop ContourAId: automated contouring, contour QA and real-time dose prediction for faster, safer radiotherapy planning.
Mar 30, 2025 Teaching MathWorks published my MONAI + MATLAB video tutorial, showing how to run PyTorch-based MONAI medical imaging models directly in MATLAB. Full tutorial.
Mar 14, 2025 Leadership As lead organizer, I launched BART 2025, the first Bern AI in RadioTherapy symposium: ~100 attendees from 5 countries, 11 posters and 2 industry sponsors. It was the precursor to MIART 2026.
Nov 30, 2024 Supervision My Master’s student Zahira Mercado won the CAIM Research Award in the Translation category for her work on ContourAId. Congratulations, Zahira!
Nov 07, 2024 Award My research pitch was selected as one of 100 “lab” pitches from 60+ countries for the Falling Walls Science Summit 2024.
Oct 07, 2024 Publication “AutoDoseRank: Automated Dosimetry-Informed Segmentation Ranking for Radiotherapy” accepted at the CaPTion workshop at MICCAI 2024. Learn more.
Jul 02, 2024 Training Took part in the MIDL 2024 Doctoral Symposium at Sorbonne Université, Paris, with sessions on science communication, diversity in research and networking.
Jul 01, 2024 Publication Our paper “Comparing the Performance of Radiation Oncologists versus a Deep Learning Dose Predictor” accepted as an oral at MIDL 2024 (36 of 217 submissions, 18%). Read more.
May 27, 2024 Publication Two abstracts accepted at IEEE ISBI 2024, one presented by Zahira Mercado from her Master’s thesis research.
Oct 08, 2023 Publication Two papers accepted at MICCAI 2023 in Vancouver: “Do we really need that skip connection?” (early accept, top 14%) and “Dose Guidance for Radiotherapy-oriented Deep Learning Segmentation”. Read more.
Sep 01, 2023 Career Started the part-time MAS in Translational Medicine and Biomedical Entrepreneurship at the University of Bern with an 80% tuition scholarship as a top applicant: medical device regulation, quality management and IP, expected to finish in 2027.
Jul 26, 2023 Award Won 2nd place Best Student Paper at IEEE EMBC 2023 in Sydney for “ASTRA: Atomic Surface Transformations for Radiotherapy quality Assurance”, presented as an oral. Learn more.
Jun 05, 2023 Talk Invited to share “Young Researchers Tales” at the 8x8 event by MVUB at the Haus der Universität.
Apr 18, 2023 Publication “How sensitive are deep learning based radiotherapy dose prediction models to variability in Organs At Risk segmentation?” accepted at IEEE ISBI 2023 in Cartagena. Learn more.
Mar 24, 2023 Leadership Led BIAS 2023, the Bern Interpretable AI Symposium, bringing together keynote speakers, researchers and industry: 140+ attendees from 5 countries.
Dec 13, 2022 Training Attended Innosuisse’s Business Concept (Module 2) course in Bern, covering business models, financial planning, IP, team development and pitching.
Dec 02, 2022 Publication Abstract on the context vs. foreground-background ratio trade-off in 3D segmentation accepted at Medical Imaging meets NeurIPS 2022. Read more.
Nov 24, 2022 Award Won the 2022 CAIM Research Award in the “Translational” category; thanks to Be-Advanced for their support.
Oct 27, 2022 Publication Presented my “Deep Dose Predictor” work on AI for radiotherapy planning at the Swiss Society for Radiobiology and Medical Physics (SSRMP) meeting.
Sep 09, 2022 Training Attended the University of Cambridge’s online CCAIM AI and Machine Learning in Healthcare Summer School, led by Prof. Mihaela van der Schaar: five days on clinical trials, graph neural networks and synthetic data.
Sep 03, 2022 Award Won the MICCAI Hackathon 2022; watch the winning presentation.
Oct 15, 2021 Career Started a PhD in Biomedical Engineering with Prof. Mauricio Reyes at the Medical Image Analysis Lab, University of Bern, ranked 66th in the world in the field that year.
Jul 12, 2021 Talk Gave a short talk with Julia Hoerner (MathWorks) on “Brain Tumor Segmentation with MATLAB” at the virtual MIUA 2021 conference.
Dec 12, 2020 Career Completed my Master’s in Computer Science at Georgia Tech (OMSCS) with a 3.7/4.0 GPA, studying part-time alongside my MathWorks job from 2016 to 2020.
Aug 12, 2020 Talk Spoke for MIT Manipal (online) in the i-True webinar on AI in urology (recording).
Oct 17, 2019 Teaching Delivered a MathWorks tutorial at IEEE Tencon 2019, the most attended tutorial of the conference.
Aug 10, 2019 Teaching Delivered a deep learning workshop at MIT Manipal as part of the IEEE DISCOVER 2019 pre-conference tutorials, from foundations to practical applications.
Jan 01, 2016 Career Started Georgia Tech’s online Master’s in Computer Science (OMSCS) part-time alongside my MathWorks job; Georgia Tech ranked 8th in the world for computer science at the time.
Nov 01, 2014 Career Joined MathWorks in Natick, MA, as a Software Engineer on the Image Processing and Computer Vision Toolbox team, shipping features such as NIfTI file I/O and lane boundary detection.
Apr 20, 2013 Publication “Optimal acquisition protocol for white matter fiber orientation mapping using generalized CSA-ODF reconstruction” accepted at the 21st ISMRM Annual Meeting in Salt Lake City.
Oct 31, 2012 Career MS in Electrical & Computer Engineering from the University of Minnesota, Twin Cities, with a thesis on diffusion MRI fiber orientation mapping. Minnesota ranked 26th in the world in engineering, technology and computer science when I enrolled.
Oct 05, 2012 Publication “Generalized constant solid angle ODF and optimal acquisition protocol for fiber orientation mapping” accepted as an oral at CDMRI 2012, the Computational Diffusion MRI workshop at MICCAI 2012 in Nice.
Sep 01, 2011 Career Joined the Center for Magnetic Resonance Research, University of Minnesota, as a Research Assistant on diffusion MRI acquisition and reconstruction, with Prof. Christophe Lenglet and Prof. Tryphon Georgiou.
May 31, 2010 Career B.Tech in Electrical & Electronics Engineering from NIT Karnataka, Surathkal, ranked 12th of 67 in my class. The institute was 8th among India’s engineering colleges when I joined.