Joseph Paul Cohen

Educational Background
PhD from University of Massachusetts, Boston

Time Spent in the Group: 1 year postdoc

Research Focus
Clinical trajectory representation learning with deep learning, counterfactuals and neural network model interpretability and building a library for chest X-ray deep learning research – TorchXRayVision.

Non-Academic Interest
Hiking in search of magnificent views and board games!

Position after MIMI Group: Machine Learning Research Engineer at Butterfly Network (point-of-care ultrasound solutions).

Jeffrey Dominic

Educational Background
University of Michigan (BS/MS)

Time Spent in the Group: 1 and 1/2 years

Research Focus
During my time in the group, I focused on evaluating the effectiveness of inpainting-based pretext tasks for self-supervised tissue segmentation, and measuring the effect of different design choices on downstream segmentation performance.

Non-Academic Interest
I enjoy playing sports, especially badminton.

Position after MIMI Group: Applied Scientist at Amazon

Isabel Gallegos

Educational Background
B.S. Candidate, Computer Science, Stanford University

Research Focus
I am focused on building multimodal, multi-task machine learning models to predict disease diagnoses, in addition to developing uncertainty metrics for these models.

Non-Academic Interests
Outside of school, I love baking, photography, hiking, and spending time outdoors.

Position after MIMI Group: PhD Candidate, Computer Science, Stanford Unversity (with fellowships from the Knight-Hennessy Program, National Science Foundation, and Hertz Foundation.

Beliz Gunel

Educational Background
MS, Electrical Engineering, Stanford University
BS, Electrical Engineering & Computer Science, University of California, Berkeley

Research Focus
I am broadly in developing machine learning methods for medical imaging & natural language processing that leverage the structure of the underlying data and domain knowledge; and building data-efficient machine learning systems that are robust to distribution drifts.

Non-Academic Interests
Outside of work, I enjoy playing the guitar and singing, comedy shows, playing tennis, swimming, and running.

Position after MIMI Group: Research Scientist, Google AI

Michael Ko

Educational Background
BA, Psychology, Stanford University, 2020
MS, Statistics, Stanford University, 2020

Research Focus
I am broadly interested in human pose estimation for biomechanical analysis using semi-supervised and generative deep learning methods.

Non-Academic Interest 
Running, Cooking, Board Games

Position after MIMI Group: MD/PhD Candidate, University of California - San Diego

Elka Rubin

Educational Background
Oberlin College (BS Biology/PreMed)

Time Spent in the Group: 3 years, 2 months

Role in the Group: Life Science Research Professional

Position after MIMI Group: Medical Student at University of Arizona, Tucson

Andrew Schmidt

Educational Background
ME, Biomedical Engineering, University of British Columbia (2019)
BS, Bioengineering, Santa Clara University (2017)

Research Focus
Combining MR imaging and biomechanics to better characterize mobility related diseases and disorders and develop metrics to inform clinical rehabilitation. Also, evaluating generalizability of deep learning segmentation algorithms to help develop clinically relevant AI tools and allow academic researchers to efficiently analyze large datasets.

Non-Academic Interest 
Outdoor activities such as skiing, surfing, and hiking. I also enjoy training in Brazilian Jiu Jitsu and traveling.

Position after MIMI Group: MD/PhD Candidate, University of California - San Diego

Rogier van der Sluijs, MD, PhD

Educational Background
MD,
PhD,
MSc Epidemiology,

Research Focus
My research focuses on the efficient use of unlabeled data for representation learning through self-supervised learning. My main clinical interests are mammography and breast tomosynthesis.

Non-Academic Interest
Everything outdoors: snowboarding, running, biking, hiking, and more!

Position after MIMI Group: Radiology Resident, UMC Utrecht

Ben Viggiano

Educational Background
MS Student, Biomedical Informatics, Stanford University 
BS, Biomedical Engineering and Computer Science, University of Wisconsin, Madison 

Research Focus 
Contributing to the development of deep learning detection methods in medical images.

Non-Academic Interest
I like to mess around with photography, UAVs, 3D printing, and open source coding projects!

Position after MIMI Group: PhD Candidate, Biomedical Informatics, Stnaford University.