Anisha Keshavan was a Research Scientist in the MATTER Lab from January to October of 2019. She contributed to the MindLogger project.

Anisha develops data science techniques to address challenges with large datasets for precision medicine. Her approach involves developing intuitive and efficient web-based human computer interfaces that combine clinical expertise, crowdsourcing, and machine learning to enable accurate and scaleable biomarker extraction. She is an open science advocate and passionate about data science education.

Projects

Please visit https://anisha.pizza/#/projects for some of my ongoing projects.

Publications

• Personal publications page
• Google Scholar

Experience

• Postdoctoral Fellow, University of Washington eScience Institute, Institute for Neuroengineering

Education

• PhD in Bioengineering (2017)
  University of California, Berkeley and University of California, San Francisco
  • Thesis: A neuroinformatics framework for the collection, curation, and visualization of imaging biomarkers in multiple sclerosis
• BS in Aerospace Engineering & Applied Mathematics (2011)
  University of California, Los Angeles