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).

Eduardo Pontes Reis

Educational Background
MD, State of Sao Paulo University, 2013
Radiology Residency, UNICAMP, 2017
Neuroradiology, Hospital Israelita Albert Einstein, 2018

Research Focus
To develop AI tools to improve people's health, primarily in radiology and medical records. In radiology, I'm interested in methods that use pairs of images and reports to teach radiology to the computer. In medical records, I apply large language models to reduce the burden of documentation for medical professionals. I'm an advocate of open-data when it is safe, possible and feasible.

Non-Academic Interest
Love tennis. I'm a music fanatic (I like playing the piano when I find one). Best trips: hiking.

Position after MIMI Group: Founding Member of Technical Staff at Cognita

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

Dave van Veen

Educational Background
BS, Electrical Engineering, University of Wisconsin
MS, Electrical Engineering, University of Texas

Research Focus
I’m eager to develop computational imaging tools for accelerated MR signal reconstruction and to improve signal representation for more accurate downstream quantitative measurements.

Non-Academic Interests
Outside of research, I get most enthused by bikepacking across foreign countries on mountain roads.

Position after MIMI Group: Principal ML Scientist at HOPPR

_{Nandita Bhaskhar}

Educational Background
B.Tech, Electronics Engineering, Indian Institute of Information Technology – Design & Manufacturing, Kancheepuram
MS, Electrical Engineering, Stanford University
PhD Candidate, Electrical Engineering, Stanford University

Research Focus
Broadly, my research focuses on developing alternate sources of supervision for medical data such as observational supervision using passively-collected event logs and self-supervision strategies for data-efficient medical representation learning. The second pillar of my research is developing strategies for uncertainty estimation and mitigating distribution shifts for reliable clinical deployment.

Non-Academic Interest
Outside of research, I like social dance, gardening, music, art, creative writing, getting lost, hiking, biking and exploring new things.

Position after MIMI Group: ML Scientist at Apple Health Sensing

Louis Blankemeier  

Educational Background
BS, Electrical Engineering, University of Southern California
BA, Physics, University of Southern California
MS, Electrical Engineering, Stanford University 

Research Focus
My current research focus is in developing algorithms for chronic disease risk stratification.

Non-Academic Interest
I enjoy skiing, biking, and weight lifting, and in a previous life, I wanted to be a professional musician.I enjoy skiing, biking, and weight lifting, and in a previous life, I wanted to be a professional musician

Position after MIMI Group: Co-Founder and CEO of Cognita

Juan Manuel Zambrano Chaves

Educational Background
BS Biomedical Engineering
MD from Universidad de los Andes in Bogotá, Colombia.

Research Focus
I focus on multimodal data fusion, building predictive models that leverage medical images in addition to other relevant data sources such as structured and free-text health record data. I am also interested in developing knowledge representations that can be used in predictive models.

Non-Academic Interest
I’m an avid cyclist and in general love the outdoors!

Position after MIMI Group: ML Scientist at Microsoft Health Futures

Arjun Desai

Educational Background
MS Electrical Engineering, Stanford University
BSE Biomedical Engineering & Computer Science, Duke University
Co-Founder and CTO at Cartesia AI

Research Focus
I am broadly interested in how we can safely scale ML methods to interpret, augment, and optimize signals, particularly in medical imaging. My work ranges from developing robust, data-efficient methods for signal reconstruction to designing scalable clinical deployment and validation systems for medical image acquisition and analysis.

Non-Academic Interest
Outside of work, I enjoy golfing, climbing, and playing basketball

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

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.

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.