Maryam Vareth

Health & Life Sciences Lead
Co-Director, Innovate For Health initiative
Affiliated Researcher, Radiology and Biomedical Imaging, UCSF School of Medicine
Affiliated Researcher, Data Science Institute, Lawrence Livermore National Laboratory

Real name: 
Maryam Vareth

Maryam Vareth leads BIDS’ data science research in the Health & Life Sciences. She is also a Co-Director of the Innovate For Health initiative, a collaboration among UC Berkeley, UCSF, and the Janssen Pharmaceutical Companies of Johnson & Johnson. As an experienced researcher, engineer, and data scientist, she applies mathematics, statistics and physics to solve unmet needs in healthcare and to enhance patients’ experience during their medical journey. She is an advocate for “data-driven” medicine, and in particular for linking large-scale medical imaging data with medical diagnostics and therapeutics to extract clinically-relevant insights through the use of open source and open research practices.  

Dr. Vareth received her BS and MS training in Electrical Engineering and Computer Science (EECS) from UC Berkeley, where she was awarded the prestigious Regent’s and Chancellor’s Scholarship. She completed her PhD through the joint UC Berkeley-UCSF Bioengineering program as a National Science Foundation Fellow, where she was awarded the Margaret Hart Surbeck Endowed Fellowship for Interdisciplinary Research for her work on developing new techniques and algorithms for the acquisition, reconstruction and quantitative analysis of Magnetic Resonance Spectroscopy Imaging (MRSI), with the goal of improving its speed, sensitivity and specificity to improve the management of patients with brain tumors. She conducted her post-doctoral fellowship at UCSF, combining structural, physiological and metabolic imaging data from large clinical trials to quantitatively characterize heterogeneity within malignant brain tumors.

Projects

Innovate for Health banner logo

Innovate For Health

BIDS Undergraduate Internship Program

brain imaging graphs

Deep Learning in Medical Imaging



Events

December 3, 2019 / 9:00am to December 6, 2019 / 5:30pm

December 5, 2018 / 9:00am to December 7, 2018 / 5:00pm

May 16, 2018 / 9:00am to May 18, 2018 / 5:00pm