Victor Ion Butoi
Final Year PhD Student
Massachusetts Institute of Technology
EECS,
CSAIL
vbutoi@mit.edu
Greetings! I am a final year Computer Science PhD student at MIT fortunate enough to be advised by Professors Adrian Dalca and John Guttag as a part of the Clinical and Applied Machine Learning (CAML) Group. I'm very involved in the ML community here at MIT. Previously, I was a head TA for our Deep Learning course (over 600 students!) and a co-organizer of ML Tea.
I am interested in foundational problems in machine learning and computer vision, particularly inverse problems, geometry, and representation learning. Much of my interest centers on extracting latent physical structure from images and exploring how simulation and synthetic data can support this goal, often with applications to healthcare.
My work has been supported by the NSF Graduate Research Fellowship.
Previously, I studied Computer Science at Cornell University advised by Mert Sabuncu, where I was a Merrill Presidential Scholar for the Computer Science department and a Tanner-Dean Scholar for the School of Arts and Sciences.
I've also had the chance to intern at some very cool places doing cool things — see the bio below. If you are interested in collaborating, please do reach out!
Selected Works
FleXray: Flexible Full-Body X-ray Segmentation
UniverSeg: Universal Medical Image Segmentation
VoxelPrompt: A Vision-Language Agent for Grounded Medical Image Analysis
Other Works
Generative Active Learning for the Search of Small-molecule Protein Binders
Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging
Reviewer Service
AutoML, MIDL, ICLR, ICML, NeurIPS
Bio
Previously, I have been lucky enough to work with:
- Evan Hernandez at OpenEvidence on evals for clinical VLM models.
- Meet Shah and Scott Roy at Waymo on inference-time embedding flexibility for 3D object detection.
- Dr. Leonid Karlinsky and Dr. Rogerio Feris at IBM on fusing large image and language models.
- Dr. Felix Wu and Prof. Kilian Weinberger at ASAPP on sequence modeling using state-space models.
- Prof. Yoshua Bengio and Prof. Pierre-Luc Bacon at MILA on ML for drug discovery and uncertainty quantification.
- Dr. Florin Ghesu at Siemens Healthineers on biomedical imaging for lung diagnostics.